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Online data science school

Become a Practicing Data Scientist

Move from a beginner to a practitioner with help of our innovative teaching method
& work on 15 real world case studies during class along with our top facullty
Launching a 5 week Deep-learning course!

“With good experience of programing knowledge I looked for a data science course that help me to understand the basic math and core concepts behind most common machine learning algorithms. I think the biggest advantage of Deeplearningtrack data science school it that they use Excel to make understanding easier. The class had a pretty steep learning curve but experienced instructors, teaching materials and class recordings supported that well. I liked teaching format. Weekends classes fitted to my schedule so I could get most out of it. Good investment to my future.”

- Janos Gonda, Software consulting

Industry relevant curriculum

✔︎ "Practice" with real world datasets

✔︎ Designed by data scientists

✔︎ Industry ways of solving problems

Top faculty



Faculty team from Amazon, ZS Associates, American Express along with industry veterans

Experiential Learning
✔︎ A case study for each concept

✔︎ Assignments & discussions

✔︎ Learning from first principles

Full Coursework support

✔︎ Pre-read handouts,

software codes

✔︎ Small class size

✔︎ Active discussion forums

Team Deeplearningtrack

Deeplearningtrack team

Jahnavi Mahanta

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13+years of marketing/risk analytics strategy experience in financial/credit card domain with organizations like American Express. Jahnavi has led many data-science teams to develop and deploy large scale marketing data capabilities like customer offer recommenders, customer response prediction models. A machine learning enthusiast and learner, with a special interest in the area of deep learning.

Jahnavi holds a masters degree in Economics from Ohio State University, USA.

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Manu has over 15 years of experience in Analytics and consulting working with leading global organizations like American Express, Accenture  in the areas of Fraud Management, Credit risk and Customer analytics. He has been solving business problems using analytics and data science and has worked with clients across geographies and industries - Retail banking, Wealth Management, Telecom, Entertainment, Micro Finance Institutions and others.

Manu holds a Master’s degree in Business Administration from MDI Gurgaon and a Bachelor’s degree in Engineering from IIT Delhi. Manu is the co-founder and Chief Data Scientist at MathLogic, an analytics/data science consulting and training firm.

Manu Chandra

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