With the availability of numerous paid and free courses across the internet, it becomes overwhelming for students to start with Data Science. To demystify the process, we painstakingly curate a list of topics from over 25+ websites and create a simplified path for our community to follow within 2 months.
Data Science is all about extracting meaningful insights from huge amount of data. This online data science certification course will revolve around the concepts of Python, Machine Learning, Data Cleaning and Data Analysis. This course will help you understand core concepts and the latest advancements including aspects of Supervised and Unsupervised machine learning, and introduce you to the very latest tools and algorithms used in the industry.
The course is conducted by Consulting & Analytics Club, IIT Guwahati in the winters, and along with Winter Consulting and other initiatives, we support 25K+ students and professionals each year. The online course was started to train the students from IIT Guwahati, but has eventually spread out to different universities and organisations across India and beyond - spanning 50+ countries all across the world.
Hours of Content
"I wish organisations get this driven to actually make people learn."
This 2.5 months journey has been an amazing learning experience for me. When I first decided to enroll for this course, I hadn't expected to gain so much. Thanks to the entire team for coming up with such a comprehensive and well curated course. This course was very fulfilling in terms of the knowledge I gained as well as the hands-on experience I got through assignments and projects.
Teaching Assistant at Texas A&M University, Texas
" Knowledge was imparted through a very impeccable and adapted material... A very motivating experience week by week."
Universidad Privada del Norte, Peru
"The course content was carefully and flawlessly curated with beginner friendly and easily consumable modules.. This community is priceless!"
University of Delhi
∙Basics of Python
∙Data Analysis and Visualisation
∙Handling Missing Values
∙Types of Machine Learning
∙Overfitting and Underfitting
∙Support Vector Machines
∙The Confusion Matrix
∙Tree Based Models
∙Feature Selection & Engineering
∙Introduction to Deep Learning
∙K Means Clustering
∙Webinars by Industrial Experts
However, you may access the course materials for free!
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