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Can an Artificial Intelligence and Machine Learning Certification Push Your Career Forward?

Posted on by Imarticus Learning

Can an Artificial Intelligence and Machine Learning Certification Push Your Career Forward?

Introduction

Countless professionals, office workers, job seekers, and aspirants are aware of the employment opportunities in artificial intelligence and machine learning and are prepared to provide their services to employers. AI and ML are considered valuable for entrepreneurs planning to increase their business and differentiate the services they provide.

The number of professionals with AI and ML certifications is growing in response to the increasing demand for these technologies in businesses and organizations. If you want to keep yourself updated and are interested in working in Artificial Intelligence and Machine Learning, you should consider a certification course in artificial intelligence and machine learning. 

Alternatively, if you have a Bachelor’s or Master’s in Computer Science, Engineering, Maths, Statistics, or Science with a minimum of 50% marks and do not know what to do next, you should consider this certification. An artificial intelligence and machine learning certification can give you the edge to get the promotion or job you’ve been coveting.

What is the value of an AI and MI certification?

Artificial Intelligence and Machine Learning are great career options–many industries have now consented to using AI and ML. These technologies have applications in several sectors–IT, aerospace, healthcare, robotics, banking, and finance. The Economic Times has predicted that there will be about 3 million jobs in this sector. 

If a person is skilled and equipped with an in-depth knowledge of AI and Ml, they will find it easy to grab a good job with a handsome salary in a multinational firm or any industry mentioned above. Job seekers can also find jobs on platforms such as NAUKRI.COM, which have approximately 15000 jobs for people interested in the field.

In India, the average wage of a professional Artificial Intelligence worker is about Rs. 15,70,800. Apart from the base salary, skilled individuals can use AI and ML certification to enhance their package and position in a company. 

Features of Artificial Intelligence and Machine Learning courses

  1. The courses will teach you extensively about AI and ML technologies and their application. We’ll cover topics like Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Neural Networks, and TensorFlow.
  2. The course provides learners with practical, hands-on learning in AI and ML labs and 12+ projects.
  3. Students get to work alongside world-renowned companies such as Uber, Netflix, Google, and Amazon.

Benefits of Artificial Intelligence and Machine Learning certification

  • Growth in demand

The demand for AI and related technologies will exponentially increase in the next few years. Businesses will switch to AI to generate better solutions and implement customized internal solutions. 

  • Almost every sector uses AI

If you master AI, you will have many career opportunities available in multiple industries. Many people want to be good at specific branches of AI, such as Deep Learning and Natural Language Processing. Being adept at these offers a chance at a great career.

  • High salary 

The median salary for an AI engineer in the USA is USD 130,000. As the sector keeps growing, domestic industries too will start moving towards fairer pay scales.

  • Better chances of getting a job interview 

Obtaining an AI certification can ensure that you get an interview callback. The AI certification will stand apart on your resume and help you get noticed in the pool of applicants.

Problems you can face while getting an AI and ML certification

Mastering AI and ML technologies can be difficult. Collecting data is a big problem faced by students in their careers. For problem-solving and analytics, one will have to request data from clients. The quality of the data obtained will determine how accurate the output will be. 

A career in AI and ML

To pursue a career in AI and ML, one should be mindful of the following facts:

  • You must understand different technologies in Artificial Intelligence and Machine Learning.
  • Focus on the basics of AI and ML.
  • Knowing about the methods that organisations use on their platforms can be an added advantage for job seekers.

Conclusion

A certification course in Artificial Intelligence and Machine Learning from Imarticus Learning Private limited will help you achieve your learning objectives. You can contact Imarticus Learning Pvt. Ltd through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Companies that hire employees with AI-certified skills will be setting themselves up for success as those skill sets continue to grow in demand. Certification isn’t just an opportunity; it’s an investment in your future and a safeguard against economic uncertainty.

How Learning Data Science from an IIT is Different

Posted on by Imarticus Learning

How Learning Data Science from an IIT is Different

An IIT is a premier institute of technology in India that offers a world-class education in engineering and other technical disciplines. IITs are known for their rigorous academic programs, which prepare students for successful careers in industry and academia.

Harvard Business Review ranked the data scientist position as the sexiest job of the 21st century. With companies like Amazon, Google, Facebook, and Uber investing heavily in data science (and their employees), it is currently in very high demand.

What are the exclusive features of learning from an IIT?

The statement is quite justifiable if we look at the points below.

SPECIALLY DESIGNED FOR PROFESSIONALS

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The course has been curated by IIT faculty and Data Science and Machine Learning Professionals. It will help students build a solid data science foundation and master machine learning with Python for data-driven decision-making.

Through this course, we strive to generate experts who can furnish meaningful insights from data and help companies make the correct decisions for development.

LIVE TRAINING

The course will be offered live via online sessions with the best faculty in India. The trainers belong to IIT Roorkee, IIT Ropar, IIT Guwahati, and other supreme academies. The industry experts have ample knowledge of data science and machine learning projects.

CAMPUS IMMERSION

You can visit the campus of iHUB DivyaSampark @IIT Roorkee for two days and get a chance to unite with the IIT faculty and your coursemates. You can also visit the iHUB DivyaSampark startup incubation center and pitch your startup idea in Industry 4.0, Web3.0, Healthcare, and Sustainable Development.

STARTUP FUNDING SUPPORT

Through the Digital India scheme, iHUB DivyaSampark@ IIT Roorkee will deliver a forum for energetic startup-minded students to pitch their startup idea and get allowance support. It is an exciting opportunity for enthusiastic students who want to construct something they are proud of.

PROGRAM DELIVERED BY DR BALASUBRAMANIAN

This course will be handled by Dr. Balasubramanian Raman, designated as the chief data science and ML faculty.

CERTIFICATION BY IIT ROORKEE AND IMARTICUS

The course certificate will be allocated jointly by iHUB DivyaSampark @ IIT Roorkee, DST, and Imarticus Learning. This certificate shall be nationally-recognized, enhancing the students’ resumes and helping them stand out.

What does a perfect curriculum look like while studying at an IIT?

The curriculum of an IIT is highly advanced and updated according to market standards. What shall you learn? Let us see.

Learn Python: Data Science by Example

One of the best paths to learning data science is by example, precisely what you’ll find in this course. The certificate program in Data Science and Machine Learning from IIT is designed to give you a strong foundation in the basics of Python programming. It will teach you:

how to read data sets

how to organize your code with functions and loops

how to visualize your findings with plots and graphs

how to extract critical insights using advanced statistical techniques such as linear regression

how machine learning algorithms work on raw data sets and more.

Understand Basic Statistics for Science

The program is crafted to give you a strong foundation in statistics helping you understand and apply machine learning algorithms. You will learn to handle big data sets and visualize them effectively.

Predict values employing linear regression

Work with mean, frequency distribution, conditional probability, serial correlation, covariance, multicollinearity, etc

Analyze data utilizing Sampling Distribution, F-distribution, T-distribution, Chi-Square distribution, etc.

Machine Learning with Python

Through this program, you’ll gain the necessary skills and knowledge you need to succeed in this exciting field.

Introduction to Machine Learning

Linear Regression

Optimization

Logistic Regression

Decision Trees

Random Forest

PCA

K-Means Clustering

Time Series

Text Analytics

Neural Networks

Conclusion

The Indian Institutes of Technology (IITs) are world-renowned for their rigorous academic programs, unlike what students would find at a traditional college or university. And data science is no exception. Learning from an IIT is a great way to get started if you want to become a data scientist. We have already mentioned what you can expect from our data science program. So let’s not hurry to set your career on fire to be one of the best Data Science and Machine Learning Professionals.

We recommend you check out our Certificate Program in Data Science and Machine Learning if you want to learn data science. The program is designed to teach students the fundamentals and various aspects of data science and machine learning while equipping them with the proper knowledge to implement and apply these concepts to real-world problems.

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

Deep Learning AI For Decision Making In 2022

Posted on by Imarticus Learning

Deep Learning AI For Decision Making In 2022

Artificial Intelligence or AI has always been the future for humankind. John McCarthy coined the term AI in 1956 with the emergence of computer-based intelligence. In AI development, a series of advancements have been made to keep the simulation efficient and ongoing. But first, let’s brush up on Artificial Intelligence.

What is Artificial Intelligence? The simulation of intelligence surpasses human traits but is processed by a machine instead. These machines we are talking about are nothing but gears we use daily. Artificial intelligence utilizes computer systems in making a simulation laden with intelligence models.

AI focuses on speech recognition, language processing, decision-making, and problem-solving, among other features. Apart from being a multi-purpose data-driven model, it also implements other tasks such as planning, management, and learning.

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There are multiple types of AI: Artificial Narrow Intelligence, Reactive Machine AI, Limited Memory AI, Artificial General Intelligence, Artificial Super Intelligence, Self-Aware AI, and Theory Of Mind AI.

Deep learning comes under machine learning, which AIs use to imitate human behavior and gain general insight into humans. If you want to opt for a deep learning course or an artificial intelligence course to benefit your career or implement your knowledge, keep reading this article.

Applications of AI in Terms of Decision Making

Here is a list of all the tasks you can expect from an Artificial intelligence course in decision making.

  • Business operations: AI ensures efficiency in administrative tasks and takes the upper hand when interacting with figured data, thereby making faster and more accurate decisions.
  • Complex problem-solving: A step-by-step process can assist AI in figuring out complex data and multilayer problems. You can also utilize AI tools for predicting and optimizing pricing. 
  • Customer-related management: AI is valuable in the following arrangements –personalized customer interaction, customer behavior evaluation, prediction of consumer trends, and handling customer service.
  • Performance assessment: AI minimizes the number of human errors indefinitely and also helps in providing a transparent cover to employee data.
  • Strategic management: One thing that sits well with AI is the strategic management of changes. It can plan, manage, reduce shortcomings, and deliver a highly manufactured model in production.

Deep Learning Techniques

To create powerful deep learning models, you can choose a deep learning course that teaches these methods. An artificial intelligence and machine learning course teaches the following techniques. 

  • Transfer learning: You can use the transfer learning technique to train a model that has been previously perfected. This method takes less data than its competitors, reducing workload and computation time.
  • Training from scratch: Usually, for newer networks, this training involves collecting an extensive data set for configuring a network architecture. You can use this method for output categories. 
  •  Learning rate decay: The rate at which data becomes unstable has been studied back and forth. The learning rate decay method defines the process of the learning rate for increased performance and reduced training period.
  • Dropout: This technique solves problems like overfitting networks by dropping units and their connections with neural networks. The dropout technique has been increasingly helpful in document classification, speech recognition, and computational biology tasks.

Limitations And Challenges

Deep learning and decision-making go hand-in-hand, but simultaneously, they can hold several limitations that may limit their power. With an advanced simulated environment comes equally baffling challenges. These pointers discuss the constraints faced by AI in terms of deep learning.

  • Massive Pile-up of Data: Deep learning in itself requires the storage of large amounts of data. In addition, more accurate models require better parameters which can pose a storage issue.
  • Inflexibility: One downside of deep learning models is that they face hurdles in terms of multitasking. Machine learning only helps AIs deliver accurate solutions to one problem at a time.
  • Reasoning issues: Reasoning tasks such as programming, implementing data manipulation and long-term planning are beyond the current reach of AIs.

Conclusion

Artificial Intelligence is a rapidly increasing system that enables human behavior and accurately represents human complexity. While there are many scopes in terms of artificial intelligence, an Artificial Intelligence and Machine Learning course can help you pave the way for market trends in 2022. 

Think NLP is difficult? Here’s a step-by-step guide to mastering it

Posted on by Imarticus Learning

Think NLP is difficult? Here’s a step-by-step guide to mastering it

If you want to learn NLP, you’re probably wondering why it’s so tricky. The reason is that most people don’t understand the basics of this field or have the patience to learn them correctly. This guide will explain NLP and how to use it to get more out of your data analysis process.

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Natural Language Processing (NLP) is the study of language. It is a branch of AI (artificial intelligence) that studies how computers interact with human language, specifically how to design computers to process and evaluate huge volumes of natural language data.

What are the applications of NLP?

It is a powerful tool that you can use in many different applications. Here are just some of the ways you might use NLP:

  • Customer service: When talking with customers, it’s essential to know how they feel about your product or service. By using NLP techniques like positive language and mirroring, you can find out what their needs are so that you can help them more effectively. 
  • Marketing: Using emotional appeals in marketing campaigns will increase sales and retention rates by 79%. In addition, dynamic targeting has increased response rates by 60%. That means if you want people who like cats or dogs (or both!), knowing where those people live helps ensure they see ads for pet products when they search online!

Thinking that NLP is too difficult for you to learn, think again. It is a tool that can help you get started with your transformation process by understanding how your brain works and what influences the way you think and behave. It isn’t a magic wand or replacement for human interaction; it’s just another way of looking at things to understand ourselves and others around us better!

NLP is a powerful tool that you can use to transform your life. It’s also one of the fastest-growing subfields in AI, so you need to know how it works before jumping into the deep end. 

Discover a career in data analytics with Imarticus Learning

 This data science career will teach students data science in a practical setting. Students will create complex models that will generate critical business forecasts and insights. 

We at Imarticus believe that learning is an ongoing process. Our mission is to prepare our global learning community for a futuristic, tech-driven world by structuring information with modern technology and making learning accessible.

Course Benefits for Students:

  • Students will be familiar with data analytics, machine learning basics, and the most extensively used data science tools and methodologies. 
  • To get a data analyst certification course, students must complete 25 real-world projects and case studies led by business partners. 
  • The ability to display data using a data analytics tool is one of the most sought-after skills in the industry today. As a result, new graduates and those just beginning their jobs may want to consider enrolling.

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

Landing a data analytics job-interviews as a fresher: What I’ve learned

Posted on by Imarticus Learning

Landing a data analytics job-interviews as a fresher: What I’ve learned

Introduction

Trends in today’s industries show that data-driven organisations consistently outperform their competitors. So for businesses, hiring data experts is a growing priority. Data analysts are in high demand, which puts newcomers in a great position. Jobs are emerging and if you have mastered the right skills and can demonstrate your expertise, you can land a data analytics role. Yes, it is possible to get hired as a data analyst even without any previous experience. You need to learn the necessary skills and start marketing yourself as a data analyst. Learn how.

Data Industry

Today, the digital world is driven by big data. It is estimated that by 2025, the volume of global data will touch 180 zettabytes. In January 2020, India alone contributed 9.4% of the world’s total global analytics job openings. Every industry and sector in the world is dealing with vast amounts of data and using data analytics to grow their business. Data-driven businesses consistently outperform their competitors, so it’s a priority to hire logical data experts across industries.

The global big data analytics market size was $240.56 billion in 2021. It grew to $271.83 billion in 2022 and is projected to grow to $655.53 billion by 2029 at a CAGR of 13.4%. This rapid growth in the data industry is creating big demand in the data analytics job market. The number of skilled data analysts is increasing to cope with the demands of data manipulation.

Data Analytics

Data analytics is the process of deriving meaningful conclusions from a vast pool of data that can help companies strategise their business better. The role of a data analyst is to process various types of data about a product, customer, or company, making it relevant for business decisions. Key information processed by data analysts through analytical principles and algorithms helps organizations customize their offerings to stakeholders and customers, and design marketing strategies and business processes.

Data Analyst Role

A fresher can take up a data analyst job provided one learns business processing techniques and the required skills. For starting a career in data analytics, the following steps are recommended:

  • Get certification – Enroll in a prestigious, project-based course thoughtfully designed with the needs of today’s industry in mind.

  • Build your data portfolio – Highlight your accomplishments in the field. Also, showcase your volunteer data skills with what you’ve contributed to data forums and the community.

  • Bank on your transferable skills – Your core skills, such as the analytical skills you acquired during your degree, presentation of data insights, and use of basic analytics tools also add value to your data profile.

  • Identify and enhance the basic skills – Knowing Microsoft Excel is necessary. You can emphasise the essential tasks of a data analyst, such as classifying data and calculating numbers. Brush up on your math and statistics principles.

Learning Data Analytics

If the question of how to become a data analyst is bothering you, then taking a step toward learning data analytics will open up avenues to becoming a data analyst or data scientist. Of course, basic programming skills in SQL, database, BI tool, Python, R, and conceptual knowledge of data mining, familiarity, and interest in topics, including data warehouse, will help in learning techniques in data analysis.

Data Analytics Course

Since data analytics is essential in every field, choosing a good institution to learn data analytics that imparts industry-ready skills to the students is crucial. Training providers offer a high-quality learning experience, supported by skilled and experienced teachers, and have resources to engage in real-life projects. A program in data analytics certification course with job-interview guarantee option will allow freshers to learn and land  good job-interview opportunities.

One such program, Data Analytics and Machine Learning, offered by Imarticus Learning is an ideal opportunity for fresh graduates and those looking to switch careers to Data Science and Machine Learning.

The certification will help professionals improve their knowledge in the field of analytics and specific tools like R programming, SAS, Big Data, Hadoop, and more. With a proven track record of over 1,000 assured placements, Imarticus Landing’s program guarantees an excellent job in a salary range between Rs 7 to Rs 22.5 lakh per annum.

Conclusion

If you are looking for a reliable data analytics certification course with a job-interview guarantee, you are just one step away from your destiny. The Data Analytics course at Imarticus is the best option for you to enhance your career as a reputed data science professional of the future.

For more information about the courses, please contact us via live chat and/or message or visit one of our training centers in Pune, Mumbai, Thane, Gurgaon, Delhi, Bangalore, Chennai, or Ahmedabad.

What a Decade of Success Looks Like in the Edtech Sector

Posted on by Imarticus Learning

What a Decade of Success Looks Like in the Edtech Sector

Since its inception in 2012, Imarticus Learning has become a leading online professional educational facility focused on creating the workforce of the future with new-age programs in Data Science & Business intelligence, Advanced Analytics, AI, Investment Banking, Financial Technology, Finance, Advertising, and much more. Nikhil Barshikar, the founder, chairman, and managing director created Imarticus Learning in 2012 and has effectively directed candidates in the proper professional route.

Imarticus Learning’s all-encompassing courses and programs have helped many successful people. Imarticus regards learning as an ongoing process. Their goal over the years has been to organize information and make learning accessible using contemporary technology to prepare our worldwide community of learners for a forthcoming, tech-driven society.

EdTech company

Imarticus Learning has a track record of achievement in offering high-quality learning from universities worldwide and developing challenging programs that are immersive, relevant, and progressive.

It has attempted to mix in-class study with practical experiences as an ed-tech startup by mainly focusing on hands-on and experiential knowledge. Imarticus Learning has indeed been devoted to offering creative and outcome-focused programs for more than a decade. 

In recent years, a growing number of start-ups have recognised the promise of ed-tech. Because of the Digital India program, the cultural relevance of learning through Indian society, and lower mobile internet pricing, the upward trend will continue.

Venture capital and private equity groups are also investing heavily in this industry, not just in K-12 (kindergarten through 12th grade), as well as online classes. Supplemental courses, exam preparation, online certification, and gamification all have enormous untapped potential.

An examination of China’s present startup environment will reveal a few real winners, among them is the ed-tech industry. With the statewide lockdown in India, there is an unexpected increase in demand for ed-tech businesses, even as others struggle to find their way out. According to analysts, the e-commerce market and ed-tech are some industries that may survive this rough period.

10 Years of Imarticus in Ed-tech

Over the last decade, Imarticus Learning has partnered with industry titans such as KPMG, Capgemini, Deutsche Bank, Goldman Sachs, HSBC, and others. It can today claim 85% of student recruitment in the world’s largest corporations. We have partnered with a total of 480 firms to date, and the list is growing with each passing year, thanks to cutting-edge tech and a strong staff of mentors.

After ten years of meeting the requirements of thousands of students, Imarticus Learning is looking to fund $40-50 million (303-379 crores).

As a consequence of virtual classrooms, electronic learning, digital teaching resources in classrooms, and the increasing use of cutting-edge technologies such as virtual worlds, machine intelligence, and augmented reality, learning delivery and techniques are developing. In various educational institutes, not only students and professors, but even businesses, are becoming increasingly aware of the advantages of educational technology.

Our online training programs are created and delivered in collaboration with international organizations and industry experts.

Students who complete the program obtain an industry-endorsed certificate that will look excellent in any portfolio and amaze future and current employers.

Advantages of Becoming a Member of Imarticus Learning Family

You may do so as an Imarticus after you have finished your course by going into our LMS and accessing curriculum information and learning resources to refresh your recollection.

Furthermore, the private equity platform has provided a multitude of industry opportunities and references of both open and confidential networks, which has aided previous Imarticus students.

Conclusion

To summarise, Indian ed-tech has a very promising future ahead of it, which we at Imarticus are very enthusiastic about. If you wish to discuss and dispute the above topics, or if you are developing anything in this area and want to talk about it, please visit Imarticus’ official page.

Smartphone usage and low data rates have changed the game for ed-techs. In India now, there are around 350 million smartphone users, a figure that is predicted to quadruple by 2022. With these figures, it is clear that mobiles and digital gadgets will be the universities of the future.

The delivery and methods of learning are evolving as a result of online classes, virtual classrooms, digital learning materials in classrooms, and the rising usage of cutting-edge technology such as virtual worlds, artificial intelligence, and augmented reality. Not only students and teachers, but also businesspeople, are becoming more aware of the possibilities of educational technology in several educational institutes.

Online courses provide the general public with a flexible and cost-effective approach to learning new skills. Education advances are allowing people to quickly access education, move beyond traditional academic education, and obtain a deeper grasp of a subject via videos, online study material, and educational applications with a range of learning aids.

Top 6 machine learning questions you must learn before going for a data science interview

Posted on by Imarticus Learning

Top 6 machine learning questions you must learn before going for a data science interview

Data science is a course that analyzes data and extracts particular meaning. In contrast, machine learning is a field that completely understands and builds methods that utilize data to inform predictions. Machine learning is a sub-unit of artificial intelligence. Machine learning studies development.

 The importance of Machine learning and artificial intelligence is increasing with each passing day. Multiple candidates excel at projects but often fail to pass the interview. The main issue arises when the candidate has prepared for the tough questions but fails to answer the basic concepts of the Data Science Course. Some basic yet essential questions have been mentioned to solve candidates’ issues.

 1- What is Cross-validation in simple terms?

 Cross-validation is a method used to evaluate a model’s performance on a new and independent dataset. The most basic form of cross-validation is when data is separated into training and testing groups. This is done using the training groups to create the model and testing groups to test the data. A resampling technique called cross-validation is used to assess machine learning models on a small data sample. The process contains a single parameter, k, that designates how many groups should be created from a given data sample. As a result, the process is frequently referred to as k-fold cross-validation.

 2- Why is Naive Bayes not helpful? How would you improve a spam detection algorithm that utilizes naive Bayes?

Naive Bayes holds a strong assumption that the features are assumed to be uncorrelated with one another, but this is not the reality. To improve the algorithm that deals with Naïve Bayes, the data is to decorrelate the features to make the assumption correct. The Data Science course provides a brief overview of the latest topics. 

 3- What is the concept of Decision Trees?

 Decision trees are mainly used in operations research, strategic planning, and machine learning. Each of the squares is referred to as a node. Here multiple nodes are used to make the decision trees accurate and descriptive. Decision trees are capable of producing clear rules. Without requiring much computing, decision trees conduct classification. Both continuous and categorical variables are capable of being handled by decision trees.

 4-: What’s the trade-off between Bias and Variance?

Answer: Bias occurs when the data is overly redone or least considered. This results in the underfitting of data and makes it hard to predict accurately. 

A variance occurs when the error occurs due to too much complexity in the learning algorithm. The result is when the algorithm faces high sensitivity due to a high degree of variation in the training data. Here, the candidate needs to emphasize the variance model and its functioning.

 5: What’s your favorite algorithm, and why?

IIT data science and machine learning certification course enable candidates to try all algorithms and excel in their careers. This open-ended question would analyze the candidates’ suitability for the job position. Moreover, this question would assess the candidate’s interest, technological awareness, and detailed attention to data science. The candidate must ensure that basic algorithms are chosen to explain. This would enable the candidate to focus on the description of the algorithm and include creative concepts. The candidate must answer the question carefully as the interviewer might dig deep into the idea and ask for the latest improvements.

 6- Tell us your recent project which you completed or are currently working on.

The interview panel doesn’t always focus on technical concepts. Additionally, they evaluate the candidate’s ability to communicate and think creatively. This inquiry gives an accurate picture of the applicant and their current knowledge. Though this question might sound simple, however, this question covers the teamwork and creativity of the candidate.

The way the candidate explains the recent project and technical aspects. It’s crucial to remember that the interviewer will be satisfied if the candidate discusses recent developments in data science. The products which would be made in the future and its benefit should also be addressed. This would increase the morale of the candidate.

IIT data science and machine learning certification course would be of great help to help the candidate achieve success in their career. The candidate must know algorithms, data structures, and architecture to become an expert in machine learning. The Data Science course would also enable the candidate to understand software engineering and system design. You can visit the website to learn more about the IIT data science and machine learning certification course. Here is the link to our program webpage. You can also contact our chat support for more queries. You can also visit our Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad centers.

7 reasons your supply chain career has not taken off

Posted on by Imarticus Learning

7 reasons your supply chain career has not taken off

If you’ve worked in the supply chain industry for a while, you know there’s no shortage of career opportunities. But if you are new to the game, it can be hard to figure out where your next steps should be. This post will examine seven reasons why your supply chain career hasn’t started yet.

Reason #1: Lack of a supply chain career roadmap

A supply chain career roadmap lists all the steps you’ll need to take from your current job or career to your desired destination. It will include everything from where you should start looking for jobs, how to get your foot in the door at various organizations, what kind of training and education is vital for each step along the way, and how much time you’ll need to invest into learning new skills.

Reason #2: Lack of Supply Chain Analytics Training

Supply chain analytics are not just about inspecting data and making decisions based on it—they also help companies to improve their business processes by identifying opportunities for cost savings or revenue increases. In addition to this, they can help you identify potential issues before they become more significant problems down the road, which could result in better customer satisfaction scores as well as lower operating costs overall.

Reason #3: Lack of Supply Chain Analytics Tool experience

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Supply chain analytics tools are a must-have for any supply chain professional, but they’re not something people learn in college. To succeed as a supply chain professional, you must know how to use these tools and understand their importance. 

Reason #4: Lack of Industry Experience

The fourth reason your supply chain career has not taken off is that you lack industry experience. As a recent graduate, it will take time for you to build up the necessary skills and knowledge to succeed in this field. 

Reason #5: Lack of Networking

When it comes to networkers, you must be willing to go the extra mile. While some people may be okay with just being friends on Facebook and LinkedIn, you need to get out there and meet people in person. 

Reason #6: Unclear Job Goals and Objectives

When setting goals and objectives, you should always start with a clear idea of what you want. This will help you focus on achieving these goals instead of being distracted by other tasks.

Reason #7: Excessive Reliance on Job Boards

The internet has revolutionized the means we search for jobs, but it has also made it easier to apply for more than one job at a time. This can be good news for your career aspirations if you’re looking for something that pays well and offers flexible hours. 

Discover Supply chain management courses with Imarticus Learning

Managers might use a supply chain analytics certification to make strategic, operational, and tactical decisions. By combining conventional supply chain online courses with data-driven decision-making, get ready to contribute to developing more tactical and inventive global supply chains in the future.

 Course Benefits For Learners:

  • Students are exposed to significant technologies, including six real-world projects, to give them a thorough grasp of the industry and prepare them for a successful career.
  • Learners may get ready for highly sought-after jobs like demand planners or data scientists by finishing a supply chain management and analytics degree!
  • Python will teach aspirants to become data-centric and enhance supply chain decision-making.

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

Supply chain analyst : Salary, jobs, education, career advancement

Posted on by Imarticus Learning

Supply chain analyst: Salary, jobs, education, career advancement

Supply chain analysts work with businesses to guarantee that the appropriate items, in the proper amounts, are delivered to consumers on time. These specialists are well compensated, but it is not a career for everyone. There are various stages you must take if you want to become a supply chain analyst.

What do supply chain analysts do?

Supply chain analysts work with various data to help companies improve their supply chains. They use data to provide insight into supply chain operations, design and implement solutions to improve supply chain efficiency and effectiveness, plan and implement supply chain strategies, influence and collaborate with stakeholders, identify opportunities for improvement, and more.

Your education level will depend on the position you’re applying for. You’ll need a bachelor’s degree in supply chain management, logistics, or business to be a supply chain analyst. Supply chain analysts with master’s degrees are called senior analysts and can earn more than those with bachelor’s degrees. 

What skills do supply chain analysts need?

Supply chain analysts must have a wide range of skills and knowledge. Employers look for candidates with the following qualifications:

  • Analytical skills. Supply chain analysts need to use Excel, data analysis, data visualization, and modeling tools to analyze supply chains and make recommendations for improvement.
  • Data science skills. Supply chain analysts may need to perform statistical analysis on large datasets containing sensitive information—such as financial or personal information—so they must understand privacy regulations such as GDPR (General Data Protection Regulation). 

How much money can supply chain analysts make?

Supply chain analysts are in high demand and can earn a decent salary. Supply chain analysts work in a variety of industries and locations. Some companies hire supply chain analysts from college, while others prefer candidates with experience in supply chain management or related fields. Supply chain analysts can expect to receive competitive benefits packages that include health insurance plans and paid time off for vacation days or sick leave.

Supply Chain Analyst Career Paths

There are different types of supply chain analyst jobs. You could be a supply chain analyst, a supply chain manager, or a supply chain management analyst. The supply chain management specialist is one of this career’s most common job titles. Here is what you can expect if you choose this career path:

  • Supply Chain Analyst—In charge of working with vendors and internal departments to ensure smooth operations within an organization.
  • Supply Chain Manager—Managed all aspects of the company’s supply chains, including inventory levels, transportation costs, and vendor relationships.
  • Supply Chain Management Analyst—Typically works closely with executives at companies to help them understand how their current systems work.

Explore a Career in Supply chain Management with Imarticus Learning

Supply Chain Analytics enables management to make data-driven choices at the strategic levels. Prepare to participate in the creation of more innovative and tactical global Supply Chains of the future by merging traditional Supply Chain planning with data-driven decision-making.

Course Benefits For Learners:

  • To provide students a complete understanding of the sector and position them for a prosperous future as certified Supply Chain analysts, we include them in significant technologies and initiatives, including six real-world projects.
  • By completing a supply chain management and analytics degree, students may prepare for highly sought-after positions such as demand planner or data scientist, which are in great demand!
  • Aspirants will learn to become data-centric and improve Supply Chain decision-making using 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. 

Python is better than javascript. Here’s why

Posted on by Imarticus Learning

Python is better than javascript. Here’s why

In this digital age, everything around us functions as a result of some programming. Therefore, programming is an incredibly beneficial skill to have in 2022. There are several online programming languages that you can learn. Currently, Python is an in-demand programming language for various reasons and is widely used by beginners and seasoned programmers alike.

Before choosing which language to learn, you must first know what you wish to accomplish by learning the language. Python is the best option for data analytics. With its vast number of libraries, it can handle almost any task that you throw its way. Meanwhile, JavaScript is the best choice for web development. It’s versatile and easy to use, and it is the ideal choice for designing various apps.

You might also want to engage with recruiters, senior developers, or employees at firms across industries to find out which languages are preferred in a particular industry. This will help you understand what language is ideal for you for the task you wish to accomplish or the type of firm you want to join.

In this blog, let’s see how Python is better than JavaScript:

Easy to learn and beginner-friendly:

Python is widely known for its simplicity. Here’s why beginners choose Python over JavaScript:

  • It is easy to understand and write; thus, it’s more readable. On the other hand, JavaScript is comparatively difficult to debug.
  • There are fewer lines of code when programming in Python than in other languages like C or C++.
  • There are fewer syntactical rules in Python. For example, you do not have to add a semicolon after every line of code. On the other hand, in JavaScript, many additional characters like curly brackets and semicolons are required to make the code meaningful.
  • It has a wide range of frameworks available (Python libraries) which contain pre-written code that will help you to speed up your project creation.
  • There are many Python Tutorials available on the internet that allow you to learn Python online for free. Hence, it is a very accessible programming language.

This being said, interest is also a factor in w. The more you are interested in learning the language, the easier it will be to learn. More importantly, you must spend more time developing actual projects rather than just learning the syntax.

Python is a versatile language:

Contrary to the belief that Python is only for the back-end, you can actually use it for general purposes too! It is versatile in terms of the application, as it is used on the server side as well as the client side. However, do note that Python can be used on the front end—but it is not advisable to replace languages designed for the front end with Python. 

Python is gaining a lot of popularity among developers. Given its applications, it can be considered the future of programming languages. There are a lot of frameworks (Python libraries) available which can be used for data analysis, artificial intelligence, and machine learning.

Preferred language for data analysis:

Although JavaScript is very popular, it cannot perform all types of tasks. Data science is a booming field where specialists have to analyse and manipulate data to achieve an end. Data scientists have to use many languages to accomplish a single task, and one of them is Python. You can use JavaScript for data science, but specialists do not prefer to use it. Why? 

  • Python offers many data science packages and built-in functions, whereas JavaScript has limited options.
  • Python is a better choice for data science, as you will find many “how-to Python” tutorials online and other related tips.
  • You can perform actions quickly through Python or R languages.

Hence, if you are inclined towards a data science career, Python is the way to go, as it is more efficient and structured for this path. There are several Python training courses or Python tutorials available online to help students and tech enthusiasts learn this magical tech language.

Data Analytics and Machine Learning Course by Imarticus Learning is an ideal program for recent graduates and professionals who want to build a successful career in data science and analytics. This program covers a combination of the Data Science and Analytics industry and will help you acquire the required professional skills desired by the world’s largest employers in the industry. It covers capstone projects, real case studies, and business projects with mentorship from top industry experts. 

The syllabus consists of SQL Programming, Python Programming, Statistics, Machine Learning with Python, R and Data Science, Big Data & Hadoop, Big Data Analytics with Spark, Data Visualization with Tableau, and Data Visualization with PowerBI.

This course by Imarticus Learning offers two different learning tracks—one for recent graduates and another for working professionals. Each track is designed to suit the different requirements of the target audience. Both courses are designed per industry standards to deliver the best learning outcomes.

Keen to explore how Imarticus Learning can help you expedite your programming journey? Schedule a FREE counseling session with us by contacting our chat support, or simply drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.