Data Science

Top 5 Free Courses to Learn About the ‘Hottest Field’ of 21st Century
Friday, January 20, 2017 12:03:09 PM

In today’s scenario, where demand for data scientists is skyrocketing, almost everybody wants to learn what data science is.  At the same time, the shortage of experts in big data is becoming a serious constraint for companies. The world of technology has long been associated with constant changes in what is mainstream, but the pace of this change, till date, has never been what it is today. With the inception of advanced analytics tools and cutting- edge technologies, the world of technology has transformed immensely.

The demand for big data experts, data scientists and analysts is strong and almost every academic institution is busy offering myriad courses for the same. But you don’t actually need to go back to an institution in order to establish yourself as an expert in big data. Focusing on technical certifications, these free online courses can help you in proving your worth to the employer-


An initiative by IBM, Big Data University offers courses providing hand-on experience and familiarity with the latest tools and applications of the latest, ground-breaking technologies in Big Data. Ranging from 2 to 10 hours, these courses are available in Portuguese, Japanese, English and Spanish, among others. Upon completion, students are awarded with IBM Open Digital Badges that can later be added to credentials in one’s resume, social media profiles and even in email signatures.


Founded by the creators of Apache Spark, Databricks offers numerous courses in conjunction with EdX (a Massive Open Online Courses provider). From basic Spark architecture to common operations and coding mistakes, additional topics spread across specific free courses comprise big data analyses, distributed machine learning and a lot more.


Popular for its Massive Open Online Course (MOOC), Coursera offers a 9-course program known as ‘Data Science Specialization’ conducted by John Hopkins University. It also hosts another course called ‘Machine Learning Program’ from the reputed professor of Stanford University, Andrew Ng. All courses, however, begin on specific dates. As per the policies of Coursera, enrolled students can access certain assignments and videos for free and decide if they want to purchase a specific course to complete the certificate program.


By expanding the Stanford experience to educators and students at no charge, SEE offers online courses specializing in artificial intelligence, statistical pattern recognition, and machine learning, among others. The courses cover numerous topics including adaptive control, deep learning, supervised and unsupervised learning and reinforcement learning.


It is a MOOC platform which offers numerous courses focusing on data science. While most of the courses are free, some of them demand small prices. Including content generated by researchers and professors, Udacity offers featured Nanodegree programs for aspiring data scientists looking for a specific degree without wasting several years. Nanodegree programs include various topics like Front-End Web Developer Course, Android Basics, and Machine Learning Engineering, among others.

Other than these 5, leading universities like Harvard, Stanford, CalTech and MIT offer unique programs to choose from. There are myriad paid courses in the market too, offered by Hortonworks, MapR, Dataquest, and DataCamp, among many others.

There’s no shortage of courses for all those who are the lookout to get into the field of data science. To be an expert, all you need is a goal and the right course – So, get going!