Data Science

Think like a Computer Scientist !!

Learn the Methods and Techniques to Extract Information from Data, and generate useful Predictions, with Weka / Python / R

Harness the power of Hadoop with PySpark mLib

Build a Portfolio of 12 Machine Learning Projects using R, SVM, Regression, Unsupervised Machine Learning & More!

Master Core ML, the machine learning framework used across Apple products (macOS, iOS, watchOS, and tvOS) for performing fast prediction

Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.

New to deep learning? Start with this course, giving you the opportunity to build your first deep learning model using the popular Keras library.

Linear Algebra, Statistics, Calculus, & Probability. Together these 4 branches of Maths are the four foundational pillars of everything in Data Science domain

Expose yourself to Advanced Python Techniques and Methods Required as a Data Scientist

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow

Build Scalable Data Systems: From Ingestion to Insight

Empower yourself with the sufficient knowledge and experience to perform analysis for Text and Image data using Machine Learning

SAS Predictive Analytics and Machine Learning

Neural Networks: Machine Learning Inspired by the Brain

Weka provides the best machine learning experience for newbie AI enthusiasts without coding experience

Encode empirical and institutional knowledge into PML models to sustain your organization's competitive advantages

So, you want to go 10X faster at ML in Production ?

Comprehensive training of Machine Learning Algorithms for Trading, Risk Management, Investment Management, Credit Scoring

This Comprehensive Training will help you become an expert in R programming. Take a deep dive in the mysteries of RStudio.

Gain expertise to pre-process, prepare, clean up, extract and engineer new features from the raw and time-series data

Learn the Deep Learning library for Scientific Computing

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!