In 2016, a 5-month long Advanced Analytics Learning Program was developed through collaboration between ZS and INSOFE to teach ZS employees, the foundational and advanced concepts of statistics, probability, machine learning, and other data science techniques and its practical applications using R.
ONLINE COURSEWORK
Deep Learning
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| Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models |
deeplearning.ai |
16 Weeks |
| CS231n | Convolutional Neural Networks for Visual Recognition |
Stanford |
16 Lectures |
| FastAI Course v3 (2019) |
FastAI, USF |
14 Lectures |
Data Science
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| CS109: Introduction to Data Science |
Harvard University |
15 Weeks |
| Introduction to Data Science |
University of Washington |
8 Weeks |
| The Data Scientist’s Toolbox, Getting and Cleaning Data, R Programming, Exploratory Data Analysis, Reproducible Research, Statistical Inference, Regression Models, Practical Machine Learning, and Developing Data Products |
John Hopkins University |
36 Weeks |
| The Analytics Edge |
MIT |
12 Weeks |
| Introduction to Big Data with Apache Spark |
UC Berkeley |
4 Weeks |
| Scalable Machine Learning |
UC Berkeley |
4 Weeks |
Machine Learning
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| Machine Learning |
Stanford |
10 Weeks |
| Statistical Learning |
Stanford |
10 Weeks |
Data Mining
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| Pattern Discovery in Data Mining |
UIUC |
4 Weeks |
| Mining Massive Datasets |
Stanford |
10 Weeks |
Network Science
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| Networks, Crowds, and Markets |
Cornell University |
10 Weeks |
Statistics
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| ‘Descriptive, ‘Probability’, and ‘Inferential’ statistics |
UC Berkeley |
15 Weeks |
| Statistics 110 |
Harvard |
35 Weeks |
Game Theory
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| Introduction to Game Theory |
Yale University (OYC) |
24 Lectures |
| Game Theory |
Stanford |
7 Weeks |
| Game Theory II: Advanced Applications |
Stanford and UBC |
6 Weeks |
Adjudged as “Top 10 Analytics Training Institutes in India” by Analytics India Magazine and the only institute in Asia that is certified by the prestigious Language Technologies Institute (LTI) of Carnegie Mellon University (CMU), International School of Engineering (INSOFE) aims to transform the applied engineering education space in India with current focus area as Big Data Analytics / Data Science. The vision of INSOFE is to be the best place in the world for students and working professionals to learn Applied Engineering.