Contact Us
×

Category: Analytics

Why Does Everyone Want To Do A Data Science Course? And Why It’s The Best Decision

Posted on by Imarticus Learning

Why Does Everyone Want To Do A Data Science Course? And Why It’s The Best Decision

Data-driven decision-making (DDD) has transformed our society. We make decisions using insights derived from analyzing large quantities of data: hiring managers interview candidates based on their resumes; doctors diagnose patients based on test results; marketing agencies design campaigns around consumer insights gleaned from monitoring buying behavior, and companies develop new products by conducting market research. The most successful organizations use DDD to find opportunities and improve processes. 

This means that people with experience in data analysis are highly sought after by companies across all industries – they are the future leaders of today’s business world! 

A data scientist is a person who uses statistics, programming knowledge, and domain expertise (collectively known as skills) to extract meaning from information contained within datasets for various purposes, including business applications or research projects.

What is a data science course?

Data science is a field of science that deals with the collection, storage, analysis, and distribution of data. Data science uses data to find patterns and trends. Data scientists use statistics, mathematics, and computer programming to analyze large quantities of data from many sources.

Data Science combines statistical analysis with computer programming skills to solve real-world problems such as forecasting future sales or understanding consumer behaviour.

Here are a few reasons why everyone wants to do a data science course

The rise of data science is a huge game-changer. The world is shifting from paper to digital, and as a result, there are more opportunities than ever before. Data science is an exciting field that has attracted many people. People want to learn how they can apply their knowledge in the real world and get a job.  

A data science course will help you become an expert in data science. It will also help you get a job in data science, and it can even help you make money as a data scientist!

Here are four main reasons people are interested in pursuing a career in this field:

  • It’s lucrative.
  • It helps you develop valuable skills.
  • There’s high demand for professionals trained in data science.
  • The work can be creatively stimulating.

The Data Science course is one of the best courses available today for beginners who want to launch their careers or get better at their current job. 

Discover a data science career with Imarticus Learning

This certificate program in data science and machine learning helps students get started in data science and machine learning. This curriculum, created in collaboration with iHUB DivyaSampark @IIT Roorkee, will teach students the principles and elements of data science and machine learning and arm them with the necessary skills to apply these ideas to real-world issues. 

Course Benefits For Learners:

  • This 5-month curriculum, created by renowned IIT faculty members, will teach students how to utilize Python to understand data mining and machine learning techniques.
  • Learners will be able to acquire a strong foundation in data science and specialize in machine learning using Python for data-driven decision-making with this data science curriculum. 
  • The data science online training will be live via online sessions with India’s best teachers.

Contact us through chat support, or drive to our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Best Practices For Supply Chain Planning: Forecasting Models Review

Posted on by Imarticus Learning

Best Practices For Supply Chain Planning: Forecasting Models Review

Multiple business units and internal supply chain team stakeholders are all involved in supply chain management. The appropriate people, making the right decisions based on the correct data and structure, are required for effective supply chain management.

However, reducing risks and overcoming the multiple stumbling blocks these complex supply networks provide is no easy task. Planning, sourcing supplies and materials, production, delivery, and returns are the five core processes of supply chain management, and each presents its own set of issues and considerations.

Integration, operations, purchasing, and distribution are the other four supply chain features to consider. 

Here are some of the best practices for supply chain planning

Emerging technologies and a more international supply chain are driving the growth of supply chain processes, yet trained employees are in limited supply to handle these operations. Just 38% of supply chain executives believe their present supply chain team can compete in today’s market. 

Effective cross-business execution is necessary for establishing an efficient supply chain. Too often, however, each supply chain function is considered a distinct entity, with business divisions, shifting objectives, time and resource restrictions, siloed systems and processes, and even location division. As a result, information gaps, delayed communication, errors, and policy contradictions are common.

A solid foundation is necessary to improve procedures and simplify a supply chain. The structural integrity of a supply chain determines its success. To establish a supply chain to fulfill your company’s objectives, you must first understand what you need from it.

Many businesses prefer centralized supply chain management, while others believe decentralization is the way to go. However, many dynamic and modern firms have devised a hybrid model that combines centralized strategy and decision-making with decentralized operations and workloads. This provides a more adaptable and flexible framework.

A hybrid system provides a variety of advantages. For starters, it enables supply chain management to work more closely with corporate governance and, as a result, align the supply chain with corporate objectives.

What are reviews of Forecasting Models?

The ISI-Web of Knowledge database was used to review forecasting journals systematically. Several publications were found and read, and forecasting methodologies pertinent to this study were thus chosen and evaluated. 

Findings: The primary forecasting models’ strengths, shortcomings, and applications get presented to assess trends and identify future issues. 

Limitations and implications of the study: It provides a theoretical reference framework for forecasting methodologies categorized as judgemental, consumer/market research, cause-effect, and artificial intelligence. Future studies will be able to evaluate these models qualitatively.

Discover Professional certification in supply chain management with Imarticus Learning

The supply chain management certification online provides cutting-edge information to those interested in taking the operations or supply chain analytics course. Students who enrol in this IIT Supply chain Management course will learn about Demand Planner and Data Scientist job titles.

Course Benefits For Learners:

  • We immerse students in relevant technologies and projects, such as six real-world projects that will give them a solid understanding of the sector to prepare them for a successful future as certified Supply Chain analysts.
  • Students who finish a supply chain management online course can prepare for highly sought-after professions such as Demand Planner or Data Scientist, which are in high demand among businesses today!
  • Students will learn to become data-centric and improve Supply Chain decision-making by utilizing the Python programming language.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Practical Applications Of AI To Supply Chain Planning

Posted on by Imarticus Learning

Practical Applications Of AI To Supply Chain Planning

Supply chain workers use artificial intelligence (AI) to solve problems and improve global operations. Throughout supply chains, AI-enhanced technologies improve productivity, mitigate the effects of a worldwide labor shortage, and uncover better, safer methods to transfer commodities from one location to another.

You can now easily find AI applications throughout the supply chain, from the factory floor to the front door. Shipping businesses use the Internet of Things (IoT) devices to collect and analyze data about items in transit and track the mechanical health and continual position of pricey trucks and transportation instruments.

Customer-facing shops are employing artificial intelligence (AI) to understand their core demographics better and generate more accurate forecasts about future behaviour. The list goes on and on – everywhere there’s a computer, there’s a list.

How can AI be used in supply chain management?

Chatbots for Operational Procurement

Streamlining procurement-related operations through the automation of Chabot capabilities necessitates access to robust and intelligent data sets, which the ‘procumbent’ or its ‘brains’ would be able to use as a frame of reference.

In terms of day-to-day work, Chatbots might be used to:

  • Speak with suppliers during minor interactions.
  • Set and deliver supplier actions for governance and compliance materials.
  • Make a purchase request.
  • Investigate and respond to internal queries about procurement functions 

Warehouse Supply And Demand Management Is Improving With Demand Forecasting

With algorithms and “constraint-based modeling,” a mathematical technique in which a minimum binds the consequence of each action and maximum range of constraints, machine learning finds patterns and influential elements in supply chain data. Thanks to this data-rich modeling, warehouse managers can make significantly more informed inventory stocking choices.

This big data predictive analysis is changing how warehouse managers manage inventory by delivering deep knowledge that manual, human-driven procedures and self-improving forecasting loops can’t provide.

Intelligence  in Logistics and Shipping with Autonomous Vehicles

In recent years, intelligence in logistics and shipping has been a focal point in supply chain management. Faster and more precise shipping cuts lead times and transportation costs, adds ecologically friendly aspects, lowers labor costs, and, most importantly, expands the gap between competitors.

AI is helping supply chain managers discover cost-cutting and revenue-boosting strategies.

Moving commodities worldwide is costly, and it is only getting more so. The cost of shipping products grew by 12% in 2020, the highest amount in five years.

A company uses AI to negotiate better shipping and procurement costs, monitor carrier contracts, and detect where supply chain adjustments might result in higher earnings. Users may access a centralized database that provides financial decision-making guidance based on practically every facet of supply chains.

Discover a supply chain management career with Imarticus Learning

The supply chain management certification provides cutting-edge information to those interested in taking the supply chain analytics course. Students who enroll in this Supply chain Management course will learn about Demand Planner and Data Scientist job titles.

Course Benefits For Learners:

  • We engage students in important technology and projects, such as six real-world projects, to provide them with a thorough grasp of the industry and prepare them for a successful career as certified Supply Chain analysts. 
  • Students who complete supply chain management and analytics courses can prepare for a highly sought-after career such as Data Scientist. This role is in great demand among organizations today! 
  • Using the Python programming language, aspirants will learn how to become data-centric and enhance Supply Chain decision-making.

Accelerating AI adoption for the future of machine learning

Posted on by Imarticus Learning

Accelerating AI adoption for the future of machine learning

The word ‘artificial intelligence’ plays a very prominent role in recent times. You have heard it a lot but do you know what it means? If not, then you will know now. Artificial intelligence (AI) and machine learning (ML) are booming fields in technological development and practical deployment in today’s world. Artificial intelligence and machine learning open parts for various technologies that are required in various domains and areas of work.

So, artificial intelligence and machine learning courses are in high demand now. But a question may arise in your mind, why learn machine learning? This article will give you all the answers.

Importance of learning artificial intelligence

As we all know that today’s time is technologically driven and hence, artificial intelligence as a part of machine learning is a very important factor of the same. It is also known that AI and ML courses are being taken up by many individuals in today’s time. But, why are people taking up these courses and what is the importance of artificial intelligence can be stated as follows:

  • Artificial intelligence has started to shape the arena of the business industry and big businesses have already started to incorporate artificial intelligence in their organizations.
  • Artificial intelligence helps businesses to make on-point and accurate business strategies. It also allows organizations to take belly decisions and formulate strategies.
  • AI and ML courses help you to understand the different areas and varieties of AI algorithms that are needed in different organizations. It helps you to understand that not every organization follows the same type of AI technology.
  • The financial services industry also incorporates AI technology for the prevention and detection of fraud. So, if you want to take up AI and ML courses, then you may have a career option in this field as well.
  • As you have noticed, nowadays many online shops and websites have incorporated artificial intelligence as well. They act as virtual customer assistance (VCA). Whenever you have any query or you need customer care support, AI comes to your rescue and provides solutions to all your problems.
  • Not to forget the field of medical science where artificial intelligence has started to play a pivotal role. There are hospitals and healthcare centers that use healthcare bots to assist doctors and healthcare workers. This has happened because of the incorporation of AI technology.

Therefore, these are all the main pointers that you can consider as the features of artificial intelligence and also the reason why you should take up artificial intelligence and machine learning courses.

Why learn machine learning and artificial intelligence?

So, if you are a student and you are confused about whether you take up artificial intelligence and machine learning courses or not, then you may clear your head. 

Artificial intelligence has a great career in today’s technological world. As every big and growing organization is incorporating artificial learning in their system, you being a graduate of AI and ML courses get an upper hand whenever and wherever you try to join any organization in this specific field. Having a proper understanding of the said topic is a benefit in itself and you will ace your role in the same if you take up specialization courses for artificial intelligence and machine learning.

Conclusion

As a part of an organization, it is very important to build and prepare a team with the incorporation of new and recent strategies of artificial intelligence. Therefore, artificial intelligence and machine learning courses are crucial and act as a stepping stone for having a future in the said field.

artificial intelligence and machine learning courses by E&ICT Academy, IIT GuwahatiThe course of artificial intelligence and machine learning in collaboration with IIT Guwahati by Imarticus is your one-stop destination which will pave your way to have a career in the said field.

Here’s How To Build A Connected System In Supply Chain Planning

Posted on by Imarticus Learning

Here’s How To Build A Connected System In Supply Chain Planning

In recent years, supply chain management has seen significant changes. Companies utilize enterprise resource planning (ERP) systems primarily for cooperation and data tracking. Some businesses use a combination of spreadsheets and ERP systems to plan, while others employ cloud-based planning tools.

All diverse systems, technologies, and networks involved in a connected supply chain are interconnected. They must effectively interact with one another to ensure end-to-end visibility and efficacy across the supply chain.

Many companies that wish to improve their operations have this as their ultimate goal. Connected supply chains can benefit from automation technologies since they provide system cohesiveness while also enhancing efficiency by reducing human chores in the end-to-end process. In the event of a disturbance, process automation can also assist supply chains in maintaining their resilience and adaptability. This blog post will help you guide how to build a connected system in Supply chain planning.

What is the process of supply chain planning?

The process of planning a product from raw material to a consumer is known as supply chain planning. Supply planning, production planning, demand planning, and sales and operations planning are all part of this process.

Supply planning identifies the most efficient technique to meet the demands generated by the demand plan. The role is to strike a balance between supply and demand that meets the company’s financial and service goals.

Demand planning predicts demand to ensure that items get supplied on time. Demand planning helps enhance revenue forecasting accuracy and synchronize inventory levels with peak demand.

How To Build A Connected System In Supply Chain Planning?

To view the larger picture, use business processes.

You can’t replace your current IT assets when modernizing the supply chain. When it comes to supply chain transformation, you don’t have to start from scratch; you may improve the fundamental techniques you currently have.

To acquire the visibility you need to optimize operations, mapping your business processes is the best place to start. You can’t maximize something you don’t understand. This method will help you focus your transformation efforts by first pointing out which procedures should be automated.

Combine supply chain and enterprise planning.

The second essential step is connecting supply chain planning to sales, operations, and financial planning. Companies may make real-time adjustments to inventory estimates and supplies by synchronizing their short-term operational planning with more effective business planning procedures. 

When real-time S&OP solutions with enterprise-wide collaboration get implemented, critical stakeholders throughout the organization can immediately generate new scenarios and analyze how to use their resources efficiently to maximize revenue when an unforeseen incident occurs.

 Discover a supply chain management career with Imarticus Learning

The supply chain management certification online provides cutting-edge information to those interested in taking the operations or supply chain analytics course. Students who enroll in this IIT Supply chain Management course will learn about Demand Planner and Data Scientist job titles.

Course Benefits For Learners:

  • We engage students in important technology and projects, such as six real-world projects, to provide them with a thorough grasp of the industry and prepare them for a successful career as certified Supply Chain analysts. 
  • Students who complete supply chain management and analytics course can prepare for highly sought-after careers such as Demand Planner or Data Scientist, both of which are in great demand among organizations today! 
  • Using the Python programming language, aspirants will learn to become data-centric and enhance Supply Chain decision-making.

Learn Python online: Turn python scripts into machine learning tools

Posted on by Imarticus Learning

Learn Python online: Turn python scripts into machine learning tools

In 2022, you will be able to learn Python online and turn your scripts into powerful machine learning tools. This is an exciting time for Python developers, as the language is becoming more popular than ever for data science and machine learning applications. This guide will teach you everything you need to know about Python for data analysis and machine learning. So what are you waiting for? Start Learning Python today!

Python is a programming language with many features, including an intuitive syntax and robust data structures. It’s no wonder that Python is one of the most popular languages today.

But what makes Python so unique? And why should you learn it?

Here are five reasons to start learning Python in 2022:

  • Python is easy to understand.
  • Python is a universal language that you can use for many different purposes.
  • A python is a powerful tool for data science and machine learning.
  • Python is growing in popularity, so learning Python will make you more marketable.
  • Python is fun! Python is the best language for beginners and experienced programmers alike. 

So why not start learning Python today? You might get surprised at how quickly you can pick it up.

How to turn your python scripts into machine learning tools?

A python is a powerful tool for automating tasks, and it has many libraries that allow for easy integration with machine learning tools. Internal tools for every significant machine learning project are inevitably buggy and unmaintainable. 

Fortunately, there is a better way by using Python’s Machine Learning Server; you can turn your python scripts into machine learning tools that are scalable and easy to use. 

#1: Embrace Python scripting: The best way to learn is by doing

Streamlit applications are simply scripts that run from top to bottom. There is no hidden state. You may factor your code using function invocations. You may create Streamlit apps if you know how to write Python scripts.

#2: Treat widgets as variables. There are no callbacks in Streamlit! Every contact repeats the script from beginning to end.

#3: Reuse data and computation. What if you need to store a lot of data or do complicated calculations? The key is to reuse data safely across runs. Streamlit provides a cache primitive that behaves like a persistent, immutable-by-default data store that allows Streamlit apps to reuse knowledge securely.

#4. Let Streamlit do the heavy lifting. There’s no need to fiddle with HTML, CSS, or JavaScript. Instead, focus on your app’s logic and let Streamlit take care of the rest.

Discover data analytics course in India with Imarticus Learning

This data analytics course with a placement guarantee teaches students how to use Data Science in the real world and create sophisticated models that produce essential business insights and projections.

Course Benefits for Learners:

The Growing Importance Of Data Science Certifications

Posted on by Imarticus Learning

The Growing Importance Of Data Science Certifications

Data Science is a popular rising topic with several employment opportunities. According to a LinkedIn research, Data Science is the fastest-growing new employment category, with a whopping 37 percent hiring increase over the last three years. Data Science is reshaping practically every business and growing in popularity. But, what is the significance of Data Science? This post will provide you with an answer to that question.

What is the history of Data Science?

It has been an essential component of numerous sectors, including agriculture, marketing optimization, risk management, fraud detection, marketing analytics, and public policy.

It attempts to handle numerous challenges within individual sectors and the economy by utilizing data preparation, statistics, predictive modelling, and machine learning.

It promotes the usage of general methods without varying their application, regardless of domain. This approach differs from traditional statistics, focusing on offering solutions relevant to specific industries or topics.

Why is Data Science important?

Data is pointless until it gets transformed into useful information. Data science is about mining massive datasets, including structured and unstructured data, and uncovering hidden patterns to derive relevant insights. The significance of Data Science rests in its numerous applications, which span from everyday activities like asking Siri or Alexa for suggestions to more complicated applications such as running a self-driving car.

Data Science includes Computer Science, Statistics, Inference, Machine Learning techniques, Predictive Analysis, and new technologies.

It enables businesses to understand their customers better and become more powerful better. Customers are the heart and soul of every company, and they play a significant part in its success or failure. With data science, companies can interact with their customers in a more customized way, resulting in increased brand power and engagement.

One of the reasons it is gaining popularity is that it helps marketers tell their stories engaging and impactful. When brands and businesses use this data effectively, they can convey their narrative to their target audience, resulting in stronger brand connections. After all, nothing connects with customers like a compelling tale that evokes all human emotions.

The Future Of Data Science

Today, companies have access to massive databases due to documenting every element of client engagement. Data science plays a vital role in assessing and developing machine learning models based on this data. This is because these datasets get utilized to provide valuable insights. As a result, it’s logical to expect that as analysis and machine learning increase, the demand for data scientists will increase.

More positions should become available as the area advances. Individuals interested in pursuing a profession in data science may look forward to a bright future. Data Science has broad use across all sectors.

Discover data science certification course with Imarticus Learning

The Data Science career helps students get started in data science and machine learning. This curriculum, created in collaboration with iHUB DivyaSampark @IIT Roorkee, will teach them the principles and elements of data science and machine learning and arm them with the necessary skills to apply these ideas to real-world issues. 

Course Benefits For Learners:

  • This 5-month curriculum, created by renowned IIT faculty members, will teach students how to utilize Python to understand data mining and machine learning techniques.
  • Learners will be able to acquire a strong foundation in data science and specialize in machine learning using Python for data-driven decision-making with this data science curriculum. 
  • The data science online training will be live via online sessions with India’s best teachers.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Do You Need An Artificial Intelligence Certification?

Posted on by Imarticus Learning

Do You Need An Artificial Intelligence Certification?

AI is becoming one of the most promising and in-demand career paths today. It offers many opportunities for those with the right skill set to enter this booming industry. 

The demand for AI professionals keeps rising as more and more businesses turn to AI to improve operations and increase efficiency.

 If you want to work in AI, you may be wondering what you need to do. One way to learn AI is through an artificial intelligence course. 

If you are interested in learning more about AI, here are 8 reasons why you should earn certification in this field. 

  • Stay Up-to-date 

AI is an emerging technology, and professionals need to stay in touch with the latest trends and developments.

An artificial intelligence course provides the latest information on AI technologies and applications. Moreover, this also demonstrates your commitment to learning.

  • Validation

A certification from a top institute validates your skills and gives you credibility. This shows employers that you have the skills to work with AI technology. 

So, it’s vital to ensure that your skills are indeed validated and that you can use the certification to further your career. Imarticus Learning offers a globally recognized artificial intelligence course collaborating with IIT Guwahati.

  • Future-Proof Career

A career in AI is an excellent choice for anyone looking for a future-proof job. As artificial intelligence evolves and becomes more prevalent in society, those with the skills to work with AI will be in high demand.  So, if you decide to learn AI and take it up as a career, it’ll help you stand out from other job candidates.

  • Improves Employability

Certification from a top institute improves your employability. For instance, completing an artificial intelligence course, like that offered by Imarticus Learning, increases your employability. 

The AI and ML fields offer pretty high salary packages for their roles. For instance, the average package in India is around INR 15-40 Lacs for ML and AI roles.

You can apply your newly learned skills in various fields, such as healthcare, finance, manufacturing, and logistics.

  • Improves Marketability

An AI certification can increase your marketability, whether you want to change careers or advance in your current field.

Companies seek workers who can automate processes and make data work as the world becomes technology-driven.
An AI certification proves that you have the skills to make this happen.

  • Technical Competence

An AI certification will give you the skills to stay ahead of the curve in an increasingly competitive field and help demonstrate your proficiency and show employers that you are serious about your career in AI. 

AI programs, based on application-based learning skills, provide you with skills to build your own AI applications and apply them in a way that will benefit your business.

  • Understanding AI

Before enrolling in an AI certification course, you need to check its curriculum. In addition, you can also learn about the faculty and industry experts who’ll help you better understand how AI works. 

The course curriculum will build a strong foundation of AI concepts. And the industry experts will help with the practical implementation of machine learning, deep learning, and AI techniques through real-world projects in diverse industries.

Imarticus Learning offers an AI course with an extensive curriculum covered over nine months. 

  • Specialization

An AI certification will allow you to specialize in a particular area of artificial intelligence. AI is a vast field with many sectors and specializations. 

Here are some of the most common roles you’ll find in AI:

  • Machine learning engineer: works with data to develop and train machine learning models.
  • Business analyst: analyses business and documents its systems, assessing the business model.
  • Data analyst: interprets data and makes recommendations to help improve business decisions.
  • Web & social media analyst: analyses web and social media data to help improve online visibility and engagement.
  • Artificial intelligence engineer: develops and deploys AI algorithms and applications.
  • Data scientist: collects and analyses large data sets to find trends and insights.
  • Machine learning architect: responsible for designing and developing machine learning models and algorithms.

These are some roles you can apply to after learning AI.

Conclusion

The field of artificial intelligence is one of the most rapidly growing and exciting areas in the tech industry. If you want to enter the field of AI or advance your career, a certification may be beneficial. 

Getting a certification in AI can help you stay ahead of the curve and land a job in this cutting-edge field. This article looked at 8 reasons why you should earn accreditation in an artificial intelligence course. 

You can learn AI through Imarticus Learning’s IIT artificial intelligence course. Contact Imarticus or visit one of their centers to learn more about their world-class AI certification. 

So You Want A Data Science Career? Start By Doing This

Posted on by Imarticus Learning

So You Want A Data Science Career? Start By Doing This

If you are searching for how to start building a robust data science career, then you must have come across hard skill terms like machine learning (ML), analysis, and statistics. Apart from the hard skills, you should also possess soft skills like persuasive communication and critical thinking if you want to grow up in this role. The industry of data science is vast with endless opportunities so you just need to have the required skills and education to land your dream job in the future.

What are the different career options in data science?

Here are some of the most common job titles you can be entitled to if you want a career in data science: 

Data Mining Engineer 

A data mining engineer not only examines the data of their own business but information from third-party as well. Apart from analyzing data, a data mining engineer also develops complex algorithms for analyzing the data. 

Business Intelligence Analyst 

These analysts figure out business and market trends by using data. They analyze data and develop a clear picture of the company’s position.

Data Scientist 

Data scientists can translate any business case into an analytical agenda, creating hypotheses, interpreting data, and discovering patterns to measure the impact they create on businesses. They can also select relevant algorithms to help in analyzing the data further. Their role is not just limited to explaining what impact will be created by data on the company but also to bring out solutions that will be helpful for the company in dealing with these effects in the future. 

Data Architect

A data architect works in close association with system designers, developers, and users for creating blueprints that are used by data management systems to integrate, centralize, maintain and safeguard the sources of data.

Senior Data Scientist 

A senior data scientist has the potential to anticipate the future needs of a business. They collect data and also analyze it thoroughly to get through very complex business problems smoothly. Using their prior experience, they can design new standards and also drive their development. They also find out ways in which they can use the statistical data and create tools for analysis. 

An overview of Imarticus’ certificate programme in data science and machine learning

Our certificate program in data science and machine learning has been curated to help you know the initials of data science and machine learning. In collaboration with iHUB DivyaSampark @ IIT Roorkee, we have designed this programme to help individuals learn the fundamentals along with various aspects of data science and machine learning.

In the process, you will be also equipped with the knowledge required to implement these concepts to real-life problems. You will also know about data mining and machine learning tools using Python. One of the most remarkable aspects of this 5-month programme designed by eminent IIT faculty members is that it teaches you how to use data-based insights to create a positive impact on organizational growth. 

This particular data science programme will also help individuals build a very strong base in databases and gain specialization in machine learning with Python as it will lead to data-oriented decision-making. This programme is an attempt to raise professionals who can render meaningful data insights and help businesses follow the right path to achieve their growth objectives. 

Why choose Imarticus’ certificate programme in data science and machine learning?

There are plenty of data science courses available but the programme that we offer stands apart from the rest in many aspects, such as: 

Get LIVE training sessions by IIT faculty and industry experts 

The programme will be delivered to you live through online classes taken by top Indian faculty belonging to IIT Delhi, IIT Roorkee, and other distinguished institutes. Industry experts also have intense knowledge about data science and machine learning as they have been working on relevant projects in several organizations. 

Startup mentorship and funding programme

Those who are enthusiastic about start-ups can also pitch ideas and seek funding support on this platform created by iHUB DivyaSampark @IIT Roorkee under the national scheme of Digital India. 

Recognition from iHUB DivyaSampark @ IIT Roorkee and the Department of Science and Technology 

Once you complete the programme, you will receive a certificate issued by iHUB DivyaSampark @ IIT Roorkee, Department of Science and Technology in partnership with Imarticus Learning under NM-ICPS. The certificate will create a huge impact on your profile and will give a boost to your data science career. 

Conclusion

So, if you have already decided on starting a career in data science and machine learning, what are you even waiting for? Go ahead and get registered for this certificate programme on our website. You can also call us to chat with us to know more details about this certificate programme that is a magic wand for all data science aspirants. 

Supply Chain Planning Courses: Best Practices To Adopt In 2022

Posted on by Imarticus Learning

Supply Chain Planning Courses: Best Practices To Adopt In 2022

Supply chain management (SCM) is vital for a company’s growth and performance in the industry. A good SCM system can also help determine the business’s future and its serviceability in the future.  If done correctly, it can determine if the company will make it or break it.

Increased sales and overall better performance of an organization are directly proportional to how successfully a corporation handles the process of taking a product or a service idea to the finished items. This is indeed a tough and long process with a lot of moving pieces.

A supply chain management career is one of the most sought-after career options amongst students and working professionals looking to change careers or upskill and reskill themselves nowadays. If you are interested in this field, then this is the perfect time for you to dive deep into exploring this exciting new career opportunity. 

Give a quick read to this article to know more about the various aspects of supply chain planning in detail.

What is Supply Chain Management?

Supply chain management or SCM is the management of a product’s or service’s full manufacturing cycle, from raw materials through the final delivery of the items to the customer. Therefore, a business establishes a network of suppliers in its company who transports products from raw material suppliers to the organizations that deal with customers.

For example, a clothing and accessories company’s supply chain management will deal with all the processes of manufacturing items, then transporting them to a place for warehousing, and finally packaging and shipping them as the client orders on a day-to-day basis.

Why is Supply Chain Management Important for a Business?

A well-thought-out supply chain management or SCM plan not only helps in fulfilling the day-to-day activities of an organization but also possesses the ability to quickly diagnose problems in any of the steps and creatively solve them within minutes. Below are some of the reasons why supply chain management is a core part of any business:

  • For any company in any industry, its customers are the most important thing if the business wants to earn profit and grow. Customers will always expect their desired products and services to be delivered to them as soon as possible. Thus, it falls on quick and solid supply chain management to deliver with precision in order to satisfy the client’s needs.
  • Customers also want their things to arrive on time, without any delays. For example, if a pizza delivery company promises to deliver pizzas in less than 30 minutes, but is unable to maintain this timeframe repeatedly, then its customers will automatically feel betrayed and look for better options.
  • Manufacturers and retailers rely on efficient supply chain management to develop a high-functioning network that satisfies the highest customer service requirements at the lowest total cost.
  • Good supply chain management can drastically reduce operating, production, and purchasing costs. Retailers and manufacturers rely on supply networks to get items quickly. As a result, they would not be losing their valuable time.

Roles and Responsibilities of a Supply Chain Manager

Below is the list of roles and responsibilities of a supply chain manager:

  • A supply chain manager should be able to get together with all the other departments and maintain an effective communication system to maintain a successful supply chain.
  • They have to create and maintain a precise inventory of goods and supplies throughout the organization’s sites and warehouses.
  • Basic knowledge of data analysis is a must for supply chain managers. As it will help in giving recommendations by looking at the current inventory and processes.
  • A supply chain manager is also a person who develops strategies, which will enhance supply chain efficiency while maintaining quality and safety, and executes subsequent process adjustments.
  • One of their most important responsibilities includes negotiating prices for raw materials from retailers, small vendors, and/or large shipping companies. 
  • They also take part in product development meetings and provide guidance, in terms of costing and other things related to the new products or services.
  • Last but not the least, they also keep track of all the suppliers and see if they can meet the company’s delivery specifications or not. Based on that, they change their suppliers.

Conclusion

Companies need efficient management of providing products and services to their customers and also moving goods across locations for various purposes. The job growth in this career is above average, according to reports. 

As a result, the demand for skilled supply chain managers is not going to vanish anytime soon. Now is the perfect time for joining a supply chain management and analytics course and learning all about this career option. Visit our website to know more about this course and also to browse other options.