Emerging Disciplines Top the Popularity Chart: Online Data Science Course on Coursera


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Summary

Online platforms like Coursera offer courses in Data Science, Machine Learning, AI

Stanford University’s Machine Learning Course Most Popular on Coursera

Thinking of studying data science after Plus-Two? Here is what is on offer

Digital skills are paving the way for dynamic changes in today’s job market, causing increased popular demand for emerging disciplines such as data science, machine learning, and artificial intelligence (AI). Young people are now increasingly opting for online platforms like Coursera to familiarize themselves with these topics and join the technological revolution.

However, the participation rate is not sufficient to meet the growing demands – there remains a huge skills gap between industries. Up to 80% of Indian engineers are unsuitable for jobs in the knowledge economy, according to the annual National Employability Survey of Aspiring Spirits (now SHL).

“Today entry-level positions are under threat. Most graduates want to improve their skills before applying for a job. The three main areas of development are data science, business and computer science. People with the right skills in demand tend to earn more, ”said Dulles Krishnan, Coursera Managing Director for India and ANZ.

Coursera offers courses from top universities and leading tech companies around the world, helping people develop and keep abreast of the latest recruiter requirements.

Here are the best Data Science courses on Coursera:

  • Machine learning by Stanford University

By opting for this popular course, you can gain a general overview of machine learning, data mining, and statistical pattern recognition in just 11 weeks. Renowned computer scientist Andrew Ng teaches this course drawing on a variety of case studies and applications. Here, you will learn the fundamentals of this cutting-edge subject, such as the application of learning algorithms to the development of intelligent robots, text comprehension, computer vision, medical computing, audio extraction and databases.

Click here to find out more.

  • Foundations: data, data, everywhere by google

Offered by tech giant Google, this five-week course is the first step towards the Google Data Analytics certificate program. Here, you will learn the skills required to apply for entry level data analyst jobs. Organizations employ data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make sound decisions. This course will introduce you to the world of data analysis through a hands-on program created by Google.

Click here to find out more.

  • Introduction to machine learning by Duke University

This six-week course will teach you the fundamentals of machine learning models such as logistic regression, multilayer perceptrons, convolutional neural networks, and natural language processing. Here, you’ll also learn how these models can solve complex problems in a variety of industries – from medical diagnostics and image recognition to text prediction.

Click here to find out more.

  • What is data science? By IBM

This course offers the opportunity to interact with Data Science professionals and gain insight into the importance of Data Science. The professionals will explain to you why Data Science is considered to be the first field generating jobs in the 21st century. Here you will also learn about the different avenues that can lead to a career in Data Science. This three-week introductory course applies to a variety of specializations or professional certificate programs, including IBM AI Foundations for Business Specialization and Key Technologies for Business Specialization.

Click here to find out more.

  • Getting Started with AWS Machine Learning by Amazon Web Services (AWS)

This five-week course is taught by Blaine Sundrud, AWS Senior Technical Trainer. Here, you’ll learn the fundamentals of AWS Machine Learning and some key industry-specific topics such as Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each of these topics includes multiple modules containing a variety of ML concepts, AWS services, and expert information.

Click here to find out more.

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