Top 5 Data Science courses on Coursera: Upskilling through online learning

Digital skills are pioneering dynamic changes in today’s job market, prompting a rise in the popular demand for emerging disciplines like Data Science, Machine Learning and Artificial Intelligence (AI). Young people are now increasingly opting for online platforms like Coursera to get familiar with these topics to join the tech revolution.

However, the rate of participation is not enough to meet the growing requirements — there remains a massive skills gap across industries. As much as 80% of Indian engineers are unsuitable for jobs in the knowledge economy, according to the Annual National Employability Survey of Aspiring Minds (now SHL).

“Today, Entry-level positions are in jeopardy. Most graduates want to improve their skills before applying for jobs. The top three areas of upskilling are Data Science, Business and Computer Science. People who have the right in-demand skills tend to earn more,” said Dulles Krishnan, managing director of Coursera for India and ANZ.

Coursera offers courses from top universities and leading tech companies around the world, assisting people to upskill and keep up with the most recent recruiter requirements.

Here are the top Data Science courses on Coursera:

• Machine Learning by Stanford University
  

Going for this popular course, you can get 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 state-of-the-art subject such as how to apply learning algorithms to the development of smart robots, text understanding, computer vision, medical informatics, audio and database mining.

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• 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 programme. Here you will learn the skills required to apply for entry-level data analyst jobs. Organisations employ data analysts to assist them in improving their processes, identifying opportunities and trends, launching new products and making sound decisions. This course will introduce you to the world of data analytics through a hands-on curriculum created by Google.

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• Introduction to Machine Learning by Duke University
  

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

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• What is Data Science? by IBM
  

This course offers the opportunity to interact with some Data Science professionals and get an overview of the importance of Data Science. The professionals will explain to you why Data Science is regarded as the prime field of generating jobs in the 21st century. Here you will also learn the various routes that can lead to a career in Data Science. This three-week introductory course is applicable to a variety of specializations or professional certificate programmes, including IBM AI Foundations for Business Specialization and Key Technologies for Business Specialization.

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

This five-week course is taught by AWS’s senior technical trainer Blaine Sundrud. Here you will learn the fundamentals of AWS Machine Learning and some industry-specific key topics like Machine Learning on AWS, Computer Vision on AWS and Natural Language Processing (NLP) on AWS. Each of these topics comprises several modules containing a variety of ML concepts, AWS services and expert insights.

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