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Category: Analytics

How life-changing lessons can be learned with deep learning

Posted on by Imarticus Learning

Are you prepared to witness the power of algorithms that can interpret massive amounts of data, identify patterns, and generate predictions that can resolve complex issues? In that case, you’ve found the right place. In this post, we’ll examine the mind-blowing potential of deep learning and how it might completely alter how we live and work.

Think of it this way. Deep learning algorithms are like a superpower for the 21st century, one that can turn big data into actionable insights, drive innovation, and improve the quality of life—the secret ingredient powers cutting-edge technologies like self-driving cars, virtual assistants, and predictive analytics. 

The potential of deep learning is vast and limitless, and it’s only a matter of time before it becomes an integral part of our daily lives. As we explore the incredible power of deep learning algorithms, buckle up and get ready to be inspired. The future is now, and deep learning is leading the way!

The power of deep learning algorithms

Welcome to the exciting and transformational world of deep learning! Imagine a world where computers can quickly process enormous amounts of data, identify intricate patterns, and make incredibly accurate predictions.

A world where artificial intelligence has the power to revolutionize industries, solve difficult problems, and enhance the quality of life for people all over the world. This world is not a distant future but a reality that we are living in today, thanks to the power of deep learning algorithms.

Artificial Intelligence and machine learning course

Deep learning algorithms are the backbone of artificial intelligence and are responsible for creating intelligent systems that can perform tasks that were once only possible for humans. These algorithms use a combination of mathematical models, data, and powerful computing power to learn, adapt and make predictions. The result is an algorithm that can process vast amounts of information, recognize patterns, and make accurate predictions that surpasses human capabilities.

The power of deep learning algorithms is immense, and the possibilities are endless. This technology is changing the world as we know it, and it’s up to us to harness its power for the greater good. So, embrace the future and embrace the power of deep learning algorithms. 

Personal growth through deep learning

Deep learning has the potential to impact personal growth in a profound and meaningful way. 

  • Improving critical thinking and problem-solving skills: Deep learning algorithms require individuals to think critically and solve complex problems. The process of training algorithms and making predictions requires individuals to think outside the box and come up with creative solutions. This, in turn, helps individuals develop better critical thinking and problem-solving skills.
  • Developing a growth mindset: Deep learning encourages individuals to embrace challenges and view failures as opportunities for growth. Learning and improving algorithms requires individuals to experiment, make mistakes, and learn from their failures. This fosters a growth mindset, where individuals see challenges as opportunities to grow and improve.
  • Enhancing creativity and innovation: Deep learning algorithms can process vast amounts of data, recognize patterns, and make predictions. This process encourages individuals to think creatively and come up with innovative solutions. Individuals can enhance their creativity and foster innovation by exploring new ideas and approaches.

Deep learning has the potential to help individuals grow and develop in ways that are essential for personal and professional success. By improving critical thinking and problem-solving skills, developing a growth mindset, and enhancing creativity and innovation, deep learning can help individuals reach their full potential and achieve their goals.

Discover IIT artificial intelligence and machine learning course with Imarticus Learning.

Are you prepared to advance your career in a new tech-focused field? Enroll at the E & ICT Academy for their comprehensive IIT AI ML course! You can get ready for the roles of Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer with this intensive 9-month program. 

Through real-world projects from various industries, you will develop a solid foundation in data science concepts and work with industry experts to learn how to apply machine learning, deep learning, and AI techniques practically. 

Course Benefits For Learners:

  • Students work on 25 real-world projects to develop real-world business experience and prepare for a rewarding data science career.
  • With a deep learning certification recognized by the E & ICT Academy, IIT Guwahati, and a credential supported by Imarticus Learning, students can attract employers’ attention and demonstrate their skills.
  • Students who complete this IIT artificial intelligence course land lucrative jobs in the machine learning and artificial intelligence sectors.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch via the chat support system.

Our review: Best certificate programs in data science

Posted on by Imarticus Learning

Are you prepared to launch a data science career? Keeping up with the newest trends and techniques in the data world can be challenging because it is constantly changing. Fortunately, there are lots of certificate programs out there that can keep you competitive and help you stay ahead of the curve.

We searched the internet to compile the top data science certificate program for you in this review. These programs provide a wealth of information and real-world experience to help you succeed in your career, whether you’re just starting or looking to upskill.

In our in-depth guide, we’ll walk you through all the important things to consider when selecting a program.

Therefore, let’s sit back, grab a cup of coffee, and explore the world of data science. After reading this review, you will have all the knowledge necessary to make an informed choice and advance your career.

The Importance of Data Science: Uncovering Hidden Insights and Transforming Industries

Data Science Course

If you’re interested in data science, you may wonder what it is and why it’s so important. Data science can be defined as the process of analyzing data to discover hidden patterns and trends. 

This field is growing rapidly thanks to businesses looking for ways to improve their operations through machine learning (ML), artificial intelligence (AI), natural language processing (NLP), computer vision, and many other fields that make up this rapidly expanding field of study.

Data scientists are also essential for research because they help researchers understand how people think or make decisions based on their own experiences or those they have observed in others’ behavior patterns; they also help them create algorithms that can provide insight into these processes through simulation tests using real-world examples instead of simply relying on theory alone.

Why are certificate programs an excellent way to gain skills in data science?

Certificate programs in data science are a great way to learn the skills you need for a career in this field. They also provide an excellent base for further study and professional development, as well as giving you experience working with real data sets and building solutions from scratch.

A certificate program can help you get a job or promotion if you want to enter the industry as an entry-level employee or a recent graduate looking for options outside academia.

A certificate program in data science is a great way to gain skills in data science. This is an excellent place to begin if you are interested in entering the field and want to start building your resume.

Certificates are also good stepping stones into other industries, such as healthcare and finance, where they can be used as an advantage over those without them. In addition, they provide students with tangible proof that they have mastered core concepts of data science and are ready for more advanced subjects such as machine learning or AI.

With these programs, you will be able to learn from professionals who have been doing this for years and from industry leaders who know what it takes to succeed in this field. Adding a certificate to your professional resume is a fantastic way to demonstrate your data science expertise.

Discover Certificate Program in Data Science and Machine Learning with Imarticus Learning.

By taking the IIT Roorkee machine learning certification, you can begin your journey into data science and machine learning. This program, created with iHUB DivyaSampark @IIT Roorkee, will instruct you on the fundamentals and features of data science and machine learning and give you the skills necessary to put these ideas into practice and apply them to real-world issues. 

You will learn Python-based data mining and machine learning tools in this 5-month program designed by eminent IIT faculty members and how to use data-driven insights to promote organizational growth. Students can gain a solid foundation in data science through this program and can focus on Python machine learning for making decisions using data. IHUB DivyaSampark supports an innovative ecosystem for modern technologies.

Course Benefits For Learners:

  • In this IIT Roorkee data science and machine learning course, learn from renowned IIT faculty and gain a fascinating perspective on India’s thriving industry. 
  • You will have the advantage you need to advance your career in the data science field with the help of our data scientist careers. 
  • Learn the fundamentals of AI, data science, and machine learning to build skills that will be useful in the present and the future. 
  • With the help of our IIT Roorkee data science online course, you can give yourself a career edge by learning about cutting-edge technology that will lead to amazing opportunities.

How is the supply chain management course from IIT Roorkee different from other institutes?

Posted on by Imarticus Learning

Supply chain management is now a critical component of business operations and is a major factor in determining an enterprise’s success. Thus, there is an increased need for qualified individuals who can efficiently manage intricate supply chain networks. 

The global supply chain has experienced disruptions over the past few years. Manufacturing facilities struggled to keep up with the rise in demand for delivered goods. Restrictions slowed transit, and worker shortages resulted in a backlog of port deliveries.

A CAGR of 11.2% is anticipated for the global supply chain market between 2020 and 2027. Therefore, the market value will rise from $15.85 billion in 2019 to $37.41 billion in 2027. 

Given the constantly changing landscape of technology and data, staying current with the most recent trends and developments in your chosen field is essential. So, if you are looking for a training program that will help you to develop an idea about the dynamics of an industry and help you understand how businesses operate, IIT Roorkee’s supply chain management course will get your mind working! 

Explore Your Career Potential: Join the Fascinating Field

IIT Roorkee is one of the best universities in the country. The institute has been imparting high-quality education for over five decades, producing some of India’s most distinguished engineers and scientists. In the list of Best Global Universities, the Indian Institute of Technology (IIT) – Roorkee is ranked #896. 

With the help of this program, you will have the knowledge and abilities necessary to succeed in the operations and supply chain sector and to excel in positions that are in high demand, including demand planner, data scientist, supply planner, and supply and operations planner. You can also gain a competitive edge in the job market by using Supply Chain Analytics to teach you how to use data to make strategic, operational, and tactical decisions. 

What Makes IIT Roorkee’s Supply Chain Course So Impressive?

  • Curriculum

The curriculum is based on the latest industry standards and has been designed to give you a good foundation in supply chain management. This includes core topics like operations management, inventory management, procurement, and sales.  

The IIT Roorkee curriculum also ensures that students understand how their knowledge applies to real-world business problems today. In this sense, students need to learn how best to use their skillset when they leave the institute–and you can only achieve this by studying in an environment where there is a constant focus on the practical application of theory into practice!

  • Faculty

The faculty at IIT Roorkee is a mix of industry practitioners, researchers, and academic experts. They have been part of the supply chain management course for several years and have developed much expertise in this field.

The faculty members at IIT Roorkee are experts in their respective fields who can teach you about various topics related to supply chain management so that you get a good grounding before moving on to your internship.

  • Industry Interaction

Industry interaction is a significant part of IIT Roorkee’s curriculum. The students get to interact with big companies and small businesses in their area, which helps them gain real-world experience.

The faculty members are also involved in these interactions, so you can expect them to actively engage in discussions with your classmates on a range of topics related to supply chain management. 

  • Placements

Placements are a great way to get your foot in the door, learn about the industry and company, and network with professionals. In this course, you will be placed in companies across India interested in hiring you for your skills and knowledge. 

Discover IIT Supply chain Analytics Course with Imarticus Learning.

Students can prepare for in-demand positions like demand planner, data scientist, supply planner, and supply and operations planner with a logistics and supply chain management course. Supply chain and logistics management professionals should pursue certification to give leaders the tools to drive tactical, operational, and strategic decisions.

Enroll in our supply chain management course with analytics now if you don’t want to miss out on this wonderful chance to advance your career!

Course Benefits For Learners: 

  • You can get ready to assist in developing more creative and tactical global supply chains by combining a logistic management course.
  • You can advance your career and become a supply chain analyst through IIT’s supply chain program. Take advantage of this opportunity to launch a successful demand planner or data scientist career!
  • Students who study Python acquire a data-centric mindset, which will enhance their supply chain decision-making.

A beginner’s guide to a successful career in data analytics

Posted on by Imarticus Learning

Data analytics is a field that has become increasingly famous recently due to the massive amount of data that is being generated daily. To respond to particular inquiries and address issues, data analysts gather, clean up, and interpret data sets. As such, it also presents a vast opportunity for individuals who want to pursue a career in this field. However, breaking into the industry and becoming successful can be challenging. 

Why start your career in Data Analytics?

become a Data Analyst

Data Analytics is a rapidly flourishing field that has become essential for businesses across all industries. The ability to collect, analyze, and interpret data is crucial for making informed decisions and staying competitive in today’s market. This is why starting your career in data analytics can be an excellent choice.

  • One of the key reasons to pursue a career in Data Analytics is the high demand for skilled professionals. As more companies recognize the value of data-driven insights, the need for experienced analysts grows.
  • Finally, Data Analytics can also provide opportunities for meaningful work. By helping organizations make data-driven decisions, you can contribute to solving real-world problems and positively impacting society.
  • Overall, starting your career in data analytics can provide you with a challenging, rewarding, and high-paying career path with ample opportunities for growth and development.

This guide will provide some tips to help you start a successful career in data analytics.

  • Understand the fundamentals of data analytics: Before beginning a career in data analytics, it is essential to understand the fundamentals. It includes knowledge of statistics, programming languages, and database management. You can also start by taking courses in statistics and programming languages.
  • Choose your niche: Data Analytics is a broad field with many specialties. Determining the area of Data Analytics you want to focus on is essential. It will help you develop specialized skills that make you an expert. Some popular specialties in Data Analytics include business intelligence, predictive analytics, data visualization, and machine learning.
  • Gain practical experience: One of the best ways to learn and gain valuable experience in Data Analytics is by doing projects. Projects can help you to develop hands-on experience and showcase your skills to potential employers. You can start by looking for online resources where you can find data sets and work on real-world projects.
  • Build a strong portfolio: A portfolio is a collection of projects you have worked on, essential in Data Analytics. Your portfolio should demonstrate your skills and highlight your strengths. When creating a portfolio, include a description of the projects you have worked on, the problem you were solving, and the techniques you used. A strong portfolio can help you stand out from other candidates when applying.
  • Network: Networking is essential to any career, and Data Analytics is no exception. Attending industry conferences and events can help you to meet people in the field and learn about new trends and developments. You can also join online chat communities to interact with other professionals.
  • Continuous learning: Data Analytics constantly evolves, and keeping up with new trends and technologies is essential. Continuous learning can help you to stay relevant and develop new skills. You can achieve this by taking online courses, attending workshops, and reading industry publications.
  • Apply for internships: Internships are an excellent way to gain practical experience and get your foot in the door in the industry. You can look for internships at companies specializing in Data Analytics or apply for positions that use Data Analytics in their operations.

Starting a career in Data Analytics requires dedication, hard work, and continuous learning. However, by following these tips, you can build a successful career. Remember to stay focused, keep learning, and look for new opportunities.

Explore your Career in Data Analytics with Imarticus Learning!

This Data Analytics Certification Course promises to help you realize the full potential of data analysis and create models with the most significant business impact possible. Whether you are a recent graduate seeking to make a career in Data Analytics or an experienced professional looking to advance your career in analytics, this program provides a practical approach to understanding how analytics can drive actual results in a business setting.

Course Benefits for Students:

  • Students can benefit from the Data Analytics course while staying in the comfort of their homes.
  • Learn by doing with Data Analytics codes.
  • Students who complete the PG in Data Analytics Certification Course will have a thorough theoretical and practical understanding of data analytics.

How is supply chain analytics important for a business in 2023

Posted on by Imarticus Learning

Supply chain management includes managing the flow of goods, services, & information from suppliers to customers. It is a complex process that requires careful planning, coordination, and execution. In past years, businesses have increasingly turned to data analytics to help them effectively manage their supply chains.

Businesses can identify trends & adjust their production schedules to meet demand more effectively by analyzing customer demand data. By analyzing transportation data, companies can identify the most cost-effective shipping options and reduce transportation costs. Businesses can locate the most reliable and cost-effective suppliers by analyzing supplier data and building stronger relationships.    

What is Data Analytics, and How Can They Help Supply Chains?

globa supply chain analytics course

Data analytics uses statistical & computational methods to analyze large datasets and extract insights from them. In supply chains, data analytics includes collecting and analyzing data related to various aspects of the supply chain, such as transportation costs, inventory levels, production schedules, and customer demand.

Data analytics can help supply chains in many ways:

Demand forecasting

By analyzing historical sales data, businesses can forecast future demand and adjust their inventory levels accordingly. This can help reduce the likelihood of stockouts and overstocking, improving customer satisfaction and cost savings.

Inventory optimization

With inventory data analytics, businesses can identify slow-moving or excess inventory and take steps to reduce it. This can reduce inventory holding costs and free up warehouse space.

Transportation optimization

Businesses can identify the most efficient modes of transportation and routes to minimize costs. This can help reduce transportation costs and improve delivery times.

Supplier performance monitoring

By analyzing supplier data, businesses can monitor supplier performance and identify opportunities to reduce costs and improve collaboration. This can build stronger relationships with suppliers and reduce the risk of disruptions in the supply chain.

Quality control

With it, businesses can identify areas for improvement & take steps to reduce defects and waste. This can help improve product quality and reduce costs.

Why Is Supply Chain Analytics Important for Businesses?

Supply chain analytics is vital for businesses because it can improve efficiency, better decision-making, enhance customer service, & increase competitiveness. Businesses can gain insights into their operations using data analytics and take proactive steps to optimize their supply chains. 

Supply chain analytics can help businesses streamline operations, reduce costs, & improve customer service. With the help of data analytics, businesses can gain a competitive edge in an increasingly complex and competitive marketplace. Supply chain analytics is essential for businesses because it can lead to several benefits, including:

Improved efficiency

By analyzing supply chain data, businesses can identify areas where they can improve their operations, reduce wastage, & optimize their resources. This can also lead to significant cost savings and improved efficiency.

Better decision-making

Supply chain analytics can give businesses real-time operations visibility, enabling them to make better decisions based on up-to-date information. For instance, companies can quickly adjust their production schedules or find alternative suppliers to minimize disruptions if a supplier faces delays.

Improved visibility

With supply chain analytics, businesses can gain greater visibility into their processes, which allows them to identify bottlenecks, inefficiencies, and areas for improvement. This visibility can help enterprises to optimize their operations and make better decisions.

Better forecasting

Businesses can use supply chain analytics to improve forecasting accuracy by analyzing historical data and current trends. This will help them better anticipate demand and ensure proper inventory levels to meet customer requirements.

Enhanced customer service

Supply chain analytics help businesses improve their delivery times & reduce the likelihood of stockouts, leading to happier customers. By analyzing data demanded by customers, businesses can adjust inventory levels and production schedules to meet customer needs effectively.

Discover Supply Chain Analytics Course with Imarticus Learning: 

If you want to become a supply chain professional, registering for the supply chain analytics certification course from Imarticus Learning can be a great idea to advance your job in the supply chain and operations industry. 

A complete set of skills, including strategic, operational, personal, and technological knowledge, are offered in the program at IIM Raipur for senior supply chain employees to assist you in succeeding as an SCM manager. Students connect with other business professionals throughout the supply chain analytics course and set out on a successful career in supply chain and operations.

Course USPs:

  • Provide students with the learning they need for a successful Career in logistic Management.
  • Learn from innovative leaders.
  • Networking opportunities with former IIM Raipur students
  • Become a member of the IIM Raipur Alumni Professional Group.

A complete guide to data analyst training for beginners

Posted on by Imarticus Learning

Nowadays, it is said that data drives the world. The organization with more refined data has a higher probability of making a better prediction on future business and its processes on optimization. Data being important to an institution, it is quite obvious that the analysis of such data may only lead to those future predictions, besides, of course, correcting the present-day business.

Thus, in present-day India, huge opportunities have been created for individuals who want to work on data management and analysis. This career is meant for candidates who missed out on pursuing a software engineering course but have a tremendous interest in computer software activities. A data analytics course is the best option for them to fulfil their ambition. Prospective aspirants may be undergraduates from any domain. However, it is important to understand that before choosing the course, students must also have a reasonable understanding of mathematics and statistics with basic to medium working-level know-how in Excel and PowerPoint.   

Tools for Data Analysis 

The prerequisites of learning data analytics have been mentioned above. Now let us understand the working tools of the subject. We are aware that the job of a Data Analyst is to gather, filter, segregate, clean and finally analyse data meaningfully for business owners so that they take important decisions. There are certain skill sets that the candidate has to acquire through Data Analyst training. Advanced Excel, SQL and Programming Languages like R, Python etc., are the basic skill sets that a professional in this field must possess. The above know-how shall help them to analyse the data fruitfully or even extrapolate them. However, next comes the process of visualization of the big picture.

A Data Analyst must present their findings to the business team so that they can understand the analysis as a whole. In order to make such visualization simple and user-friendly, the Data Analyst must learn tools like Power BI or Tableau.

Apart from the mentioned points, an aspiring Data Analyst must complete a few meaningful projects post completing the course. Executing projects will not only give the candidate confidence in the subject but also add immense value to their CV.  

Data Analysis Training Courses

data analytics course

There are several training courses on Data Analysis in India. Some of these courses are offline, while others are online. Since these are essentially certificate courses, the duration and the content for each also vary greatly.

However, a good Data Analyst training course will essentially cover topics on pre-processing the data, their classification, segregation and filtration. This also includes text mining and social media or site analysis. Understanding of data structures should be covered. Advanced Excel, SQL and programming languages like R or Python should be within its syllabus. The course must teach data visualization tools.

Thus, the selection of the right data analytics course is of extreme importance. A well-designed course with better content, well aligned with the right purpose, helps the aspiring candidate to learn systematically and quickly. A good mentor on the subject is also a must for a beginner. The importance of choosing the right course to build a career is all the more important since a candidate has to learn a whole gamut of skill sets of different dimensions and also their application. Since the job role involves an efficient presentation to business owners, soft skills also form a major learning topic. Students who aspire to enter the field of data analysis must understand all these parameters and introspect carefully before moving ahead. Technical skills and logical understanding are key deciding parameters for a recruitment process in this field. 

Besides, the study material should also contain statistical analysis and interferences, exploratory data analysis and basics of modelling, which will further help the candidate to complete projects successfully. 

Conclusion

There is a huge boom of information in today’s world and a matching demand in the field of data analysis. The job opportunities for a Data Analyst are vastly increasing. With proper training and future application, a candidate may even aspire to become a Business Analyst or an Operation Analyst. With the further enhancement of knowledge on subjects like artificial intelligence and machine learning, a present-day Data Analyst may also aspire to become a Data Scientist. 

An interested candidate can learn data analytics from the postgraduate program in data science and analytics course taught at Imarticus. The duration of the course is 6 months, and it is one of the best courses in India for learning data analytics. This is a placement-assured program with 1500+ candidates having already secured a position in reputed companies. This course offers both online as well as offline modes of teaching. This course will guide you towards your goal and help you become a successful data analyst. 

How learning data analysis can impact your career?

Posted on by Imarticus Learning

Data analysis holds the key to the future of most businesses. Earlier, the resultant data of any transaction was either not captured at all or, at best, recorded manually. Such details would be usually generated and preserved in excel sheets and used by an organisation to make data-driven decisions. However, such manual practices are unimaginable now. The main reason is the massive volume of data, often referred to in this domain as big data. A career in data analytics, thus, is in huge demand. 

Nowadays, every organisation is digitally evolving. Business houses are using digital platforms to gather substantial feedback from their clients. This model may be best understood when someone chooses a product or service from an E-commerce platform. Past client reviews and earlier product ratings often guide the choice. The manufacturer or the dealer also gets feedback on the platform from the client and understands the product’s sustainability and demand in the market.    

Role of A Data Analyst 

data analytics course

The function of a Data Analyst begins with recognising and gathering raw data. The next roles include cleaning or filtering the available raw data. The data is then worked upon using tools like advanced excel, statistics, and programming languages such as Python & R, etc., and presented in the form of easily understandable visuals like bar or pie charts. Thus, the knowledge of Power BI and Tableau is equally important. All these tasks of a Data Analyst are directed towards assisting or supporting the management of a business house to make a path-breaking and futuristic decision. This would pave the way for a targeted top line in the business with desired profit at the end of the financial year. Besides these, data analysis also helps the company to locate the present, and future potential of a said business, irrespective of whether it is a product or a service. The process can also predict whether a product should be discontinued from the market or a new product should be launched soon. 

How to Become A Successful Data Analyst?

Data analysis may be taken up as a career by individuals who don’t have a Bachelor’s degree in Software Engineering. However, it should be remembered that aspiring candidates who want to learn data analysis must have a strong inclination towards the subject with an aptitude to learn and grasp complex topics in the subject domain. Since this job involves handling different algorithms and programming types, knowledge of languages like C++, Java, R, and Python becomes essential. Candidates don’t need to learn all the languages simultaneously. However, starting with R & Python might prove to be helpful. Over time, the candidate is free to master other useful languages to secure a better understanding of the domain. 

Apart from the hard-core technical knowledge of the profession, knowing about the services offered by the organisation or the product manufactured is desirable. The more the candidate develops this knowledge, the better the aspirant may analyse the data. The accuracy of prediction or extrapolation of data will also have far-reaching effects. 

A successful Data Analyst should have both an innovative and inquisitive mind. He should develop a habit of taking notes from different research papers on the subject and from videos.

Along with all these, candidates aspiring to become Data Analysts or existing data analysts must create a community of people with similar educational backgrounds and common professional interests. Within the circle, they can discuss good practices and try to absorb them in their daily activities. Listening to success stories from professionals from a different background other than software engineering will also boost the morale of aspiring job seekers in this domain.

Conclusion

The job market for a Data Analyst is debatably growing at the fastest rate as per industry standards and shall have a very high demand in days to come. Every organisation is now relying on data as its prime mover. Whether it is an overall prediction for a business market or a key decision regarding an upcoming or an existing product or service, data analysis is the only modern solution in today’s world. With an advanced analytical mind and a strong command over the business domain, young Data Analysts may aspire to become Data Scientists someday. 

A prospective candidate can learn data analytics from the postgraduate program in data science and analytics course taught at Imarticus. It is one of the best data analytics courses in India, taught over a span of 6 months. This course will help you to achieve your dream. Head to the website to learn more about the course.

The Role of Python, SQL and R in Data Analysis

Posted on by Imarticus Learning

A career in data science requires in-depth knowledge of various software tools and programming languages. Languages like R, Python and SQL offer massive advantages that one can use for efficiently conducting data analysis. 

This article will discuss in detail the role each language carries while we delve into the advantages of a data science programme. For instance, the programmer can utilise R and SQL for complex queries and tables while conducting fundamental statistics. On the other hand, one can easily use Python objects to create and automate tasks while working on various data sets. 

Python in Data Analysis 

become a Data Analyst

Python is a powerful tool in data analysis as it provides a colossal library count that can be used for data visualisation and manipulation. 

A. Advantages of Python in Data Analysis 

  • Easy Programming Language: Data analysis is a large venture requiring a lot of work with every task. With Python objects, syntax and code can be written straightforwardly.
  • Extensive Library Count: Python’s standard library allows for complex data analysis tasks like data manipulation, statistics, and data visualisation to be done with ease.
  • Open-source Feature: Since Python can be modified, it is free for users to access and write, making it the ideal choice for different data analysis projects.
  • Community Support: Python boasts a large group of developers available anytime to answer and help each other with queries.

B. Popular Libraries and Frameworks Used in Data Analysis

Python utilises many libraries like TensorFlow and Scikit-learn to exercise machine learning algorithms. Other libraries and frameworks include Keras, Pandas, PyTorch and Matplotlib.

Pandas uses the ‘sort_values‘ function to make way for the action. In this example, we can see the popular instance of listing items and their prices arranged in descending order in store 1. The prerequisite ‘Pandas’ from the Python library has been used for this particular action.

items[items.store_id == 1][[‘description’,’price’]]\

.sort_values(by=’price’, ascending=False)

 

Store ID

 Description

Price

2

 zucchini 7.45

1

 orange

1.45

3

 pear

1.45

1

 butter

1.40

8

 onion

1.35
1 celery

0.75

 

SQL in Data Analysis 

A. Advantages of SQL in Data Analysis 

SQL’s performance is commendable as it can be used to query and manipulate the data present in the database. SQL can also create numerous reports and dashboards for visualising data. 

  • High Performance: SQL is widely known for its efficient form that aids in offering faster results than other programming languages.
  • Secure Database: SQL’s most relevant feature is high security for storing and retrieving data which can be used against unauthorised access and malicious attacks.
  • Scalability: SQL is known for holding a substantial amount of databases that can store more data over time.

B. Popular SQL Programming Database Management Systems Used in Data Analysis

SQL utilised a range of DMS systems for analysing data effectively. These include MySQL, PostgreSQL, MSSQL, MariaDB and Oracle.

This list shows how MySQL has been implemented for acting:

mysql> SELECT DESCRIPTION, PRICE

    -> FROM ITEMS

    -> WHERE STORE_ID = 1

    -> ORDER BY PRICE DESC;

 

Description

 Price

zucchini

 7.45
orange

1.45

pear

 1.45
butter

1.40
onion

1.35

celery

0.75

 

R in Data Analysis 

R is an essential language for data analysts as it helps create robust data structures and visualisations.

A. Advantages of R in Data Analysis 

  • Cost-effective Features: R’s libraries and frameworks are open-source and free to use, making them an excellent option for greater accessibility in data analysis.
  • User-friendly Visualisation Tools: R comprises various user-friendly visualisation tools that rapidly form graphs and charts.
  • Flexibility: R’s vivid tools can analyse many data types — text, audio and images.

B. Popular R Libraries and Packages Used in Data Analysis

The most common and widely used R frameworks for analysing data include dplyr, tidyr, Shiny, plotly, XGBoost and data.table.

In this example, you can see the data.table format:

> items[store_id == 1, .(description, price)][order(-price)]

 

Store ID

 Description Price

1

 zucchini 7.45
2 orange

1.45

3

 pear 1.45

4

butter

1.40
5 onion

1.35
6 celery

0.75

 

Conclusion 

All three languages mentioned above have a substantial role in data analysis as they offer numerous functions for managing and manipulating data effectively. While R is a powerful statistical language, SQL programming is a database query for storing databases. Furthermore, Python’s general-purpose language can be accessed for machine learning purposes.

A career in data science can be gratifying, especially when using your technical skill sets. It can be especially beneficial while forming simple descriptive statistics or creating complex machine learning models. Opt for Imarticus’s Post graduate program in Data Science and Analytics while you work on amplifying your resume. 

6 Chief Operating Officer Roles and Responsibilities

Posted on by Imarticus Learning

In today’s fast-paced business landscape, a COO holds utmost significance in any organisation. They stand to be more demanding than ever. A Chief Operating Officer (COO) ensures that an organisation operates effectively by running its operations, simplifying supply chains, and implementing strategic plans. According to research, Opportunities for Strategic COOs exist globally, with major financial hubs such as New York, London, Singapore, and Hong Kong offering numerous positions.

This blog explores the key responsibilities of a COO in the domains of supply chain and operations. We’ll also discuss how advanced training programs, such as the IIM Raipur Executive Certificate Programme, can help aspiring COOs excel in their careers.

What Does a Chief Operating Officer Do?

The Chief Operating Officer is one of the key positions in any organisation. As an implementor of a business strategy, the COO needs to ensure that operations are efficient while still driving organisational growth. Deep knowledge in supply chain and operations management with leadership abilities must empower teams to work toward attainment of corporate objectives.

Why does the role of a COO matter?

  • Operational Excellence: The COO will ensure that the organisation performs at an optimal level.
  • Strategic Alignment: The COO will enable the CEO by creating actionable goals that bring a shared vision to life.
  • Leadership: The COO will create innovation and collaboration culture across teams.

Key Chief Operating Officer Roles and Responsibilities

  1. Propelling Operational Strategy

A Chief Operating Officer would formulate strategies which might be useful in optimising the company’s operational performance and work toward their implementation. They would work with other executives to establish the organisation’s performance metrics and align its operations to streamline the work.

Focus Areas:

  • Process optimisation
  • Optimisation of resource use
  • Reduce risk 

  1. Manage Supply Chain

The most important supply chain function that falls under the COO role is the smooth movement of goods and services. It includes all procurement, logistics, and inventory management.

Focus Areas:

  • Vendor management
  • Inventory optimisation
  • Cost-cutting initiatives

  1. Improving Operational Effectiveness

Efficiency lies at the core of the COO roles in operations management. COOs detect bottlenecks and work on solutions to make operations more productive and minimise costs.

Focus Areas:

  • Workflow automation
  • Teamwork
  • Performance metrics

  1. Leading Technology Integration

In the modern digital landscape, the COOs need to be leaders for integrating technology into operations. This would translate into data-driven tools for supply chain and operational analytics.

Focus Areas:

  • Digital transformation
  • Supply chain analytics
  • Artificial intelligence and machine learning

  1. Cross-Functional Teams Management

A COO is a department interface. It helps ensure that teams work towards organisational goals. Communication and conflict resolution skills are important here.

Focus Areas:

  • Team alignment
  • Leadership development
  • Stakeholder engagement

  1. Compliance and risk management

The key responsibilities of a COO includes ensuring that operations are adhered to regulatory standards and maintaining risk proactively. 

Focus Areas:

  • Compliance with regulatory standards
  • Risk analysis
  • Crisis management

Importance of Training for Chief Operating Officers

The dynamics in the business world are changing, and so is the need for COOs to be responsive to trends. Chief Operating Officers must balance strategic decision-making with operational efficiency with leading diverse teams. Effective training equips COOs with the tools, skills and mindset needed to navigate this complexity and drive organisational success. Professional training is indispensable for Chief Operating Officers.

IIM Raipur Executive Certificate Programme for Strategic Chief Operations Officers

Tailormade C-suite Training

This 10-month program covers fully the scope of the tasks of the COO responsibilities in supply chain and operations management and it is the best supply chain and operations training program. The learners get a strategic view on the design and development of the supply chain.

SCM Globe Simulations

The learners in this course get a close-up exposure to supply chain modeling and decision-making experience. They gain a comprehensive understanding of supply chain design, development, and management.

CXO Masterclasses

Learn from seasoned CXOs who share their expertise on leadership, strategy, and problem-solving with you. These masterclasses are essentially practical tools to navigate through the complexities of the COO role.

Campus Immersion

The programme includes campus immersion experience at IIM Raipur. It allows participants to network with their peer group and distinguished faculty members.

IIM Raipur Executive Alumni Status

The graduating candidates are also given the chance of taking the executive alumni status at IIM Raipur that offers privileged access to exclusive resources and other events and networking activities similar to this

Building Your Social Net Worth

The course will give a person-to-person connection to industrial leaderships and peers from a variety of backgrounds where the attendees can build their networking.

FAQs

What is the core responsibility of a Chief Operating Officer?

A COO is at the helm of operational strategy, supply chain management, efficiency, incorporation of technology, management of teams, and risk avoidance.

How do COOs improve supply chain management?

COOs make procurement, logistics, and inventory processes streamlined and cost-efficient.

What are the skills that a COO needs?

Key competencies include strategic thinking, leadership, operational management, technological prowess, and risk assessment.

Why should I take up a training program for COOs?

The training course teaches one all the knowledge and experience needed to work well in this challenging job. It provides a healthy enhancement level in one’s career, as well as elevates leadership skills

How does the IIM Raipur Executive Certificate prepare one to become a COO?

The IIM Raipur Executive Certificate Programme integrates strategic knowledge with hand-on learning and networking experience to empower professionals for COO.

Conclusion

Chief Operating Officer is a much-needed role in the corporate world today. COOs are now playing a very critical role in the organisational setup from managing supply chains to driving operational excellence. For this role and to shine with excellence, the right stepping stone is taking specialised training courses such as the IIM Raipur Executive Certificate Programme for Strategic Chief Operations Officers. The program’s curriculum, including world-class faculty and unmatched networking opportunities, will help develop tomorrow’s leaders. Be challenged by playing the role of a COO and be that strategic leader your organisation needs. The future of operations management awaits!

Top data science and ML challenges in 2023

Posted on by Imarticus Learning

Data science and machine learning (ML) have become key determinants of business success. While data science deals with collecting, analysing and drawing meaning from data, machine learning focuses on building models that use data to make informed predictions. Data science involves various fields and techniques, including machine learning. Data scientists use ML models to improve data analysis and forecasts. 

Data Science Course

Data science and machine learning courses have become increasingly popular, with the demand for skilled professionals rising. In addition to having the relevant knowledge and skills, data scientists and ML experts must be quick to identify challenges and tackle them. 

This article will look at the top data science and ML challenges and how professionals can deal with them.

What are the major challenges faced in this field?

Let’s discuss some significant challenges data science and ML professionals face.

Data preparation

Collecting, organising, cleaning and analysing data is extremely tedious. Different platforms require the data to be stored in specific formats using various codes. One has to keep in mind that there should be no change in the original dataset while the analysis is being carried out. This is a major data science challenge.

Lack of appropriate data

The unavailability of proper datasets can often turn out to be problematic. Too small a dataset can result in sampling bias. To predict future performances based on past information, efficient datasets are necessary, and the inability to extract such data can often become a challenge. 

Incomplete dataset

Complete and balanced data is necessary to build machine learning models,  However, if an incomplete dataset is used, it might lead to inaccurate predictions and erroneous conclusions.

Missing values

If a dataset has a lot of missing values, then it becomes difficult to work with the data since many programming languages fail to give accurate results in this case. A non-stationary dataset might pose a challenge since it becomes complex to work with.

Data protection

The threat of cyber-attacks calls for secure data storage to prevent the leakage of sensitive information. Due to some organisations’ stringent data protection measures, accessing it becomes difficult for data scientists. Even after accessing, working on this data while conforming to these additional restrictions often becomes challenging for them. 

Data inaccuracy

If a model has been built with incorrectly labelled data, then it will certainly give incorrect results once new information has been incorporated. Therefore, ensuring the accuracy of results using proper data labels and variable types often proves quite daunting.

Data inconsistency

Consistent data is a must to build an appropriate machine learning model. Any inconsistency in the data can lead to false conclusions. Thus, the data should be free from bias and there should be no inaccurate data sources when building ML models. 

How can these challenges be tackled?

Several measures can be taken to tackle the challenges that have been discussed above:

  • Setting a definite target 

Setting the primary purpose behind the data collection and analysis is essential as it will help to make the process more precise and focussed. Once the research question has been defined, it becomes easier to carry out data operations and derive insights.

  • Cleaning the data to minimise errors

While cleaning the data, it is essential to reduce errors as much as possible, omit missing values or substitute them with other appropriate values and eliminate duplicate observations. It is also vital to detect unnecessary trends and anomalies in the dataset. 

  • Checking the linearity of data

It is crucial to check for non-linear relationships in the collected data and make them linear if needed. Checking data linearity will provide information on whether the data is sufficient or if some more variables need to be included.

  • Efficiently managing data

Efficient data management and integration tools must be utilised to ensure the availability of appropriate data required for the study. Data must be collected from reliable sources and appropriately sorted.

  • Implementing data governance

Data management and model governance processes must be set up to improve model performance, precision and accuracy. If required, regular model re-training is a must by setting up relevant tools and processes. 

Conclusion 

There are many challenges one might encounter in this field. However, it does not deter aspirants from pursuing data science and machine learning courses to join this thriving industry. In addition to imparting theoretical knowledge, these courses encourage hands-on experience working with various tools necessary to tackle these challenges successfully.

 If you are interested in data science and machine learning, then check out the Imarticus IIT Roorkee data science course. The 5-month certificate programme in data science and machine learning is designed by eminent IIT faculty members. It will teach you the fundamentals of data science and machine learning while training you to apply this knowledge to real-world problems.