Learn Data Science
with Top Industry Experts
at 25% Off

Module 1

This module is optimized to help you develop a strong foundation for a data science career. It dives deep into the core principles of probability, statistics, and mathematics necessary for building machine and deep learning models further in the program. You will start working with data and learn how to visually present the results of your analyses.

Module 3

Building on the foundations developed in the first 2 modules, Module 3 will teach you how to apply advanced statistical methods to execute predictive analytics. You will learn how to use sklearn to build complete linear and logistic regression models from scratch, and how to cluster unlabeled datasets with k-means. You will then progress to building deep learning models with the Keras library in TensorFlow 2.0, optimizing your neural network with backpropagation and fine-tuning your model.

Module 5

Aside from the technical capabilities, you need to have strong business acumen to excel on the job. The courses in this module provide invaluable business preparation that few realize they need to break into data science. Any data scientist worth their salt should understand what drives value for a company—including identifying key performance indicators, how business variables are interrelated, and what makes sense from a strategic point of view. You should be able to extract meaningful insights from data to recommend actionable adjustments that create long-term benefits.

Module 2

Here you will focus on developing a versatile programming skillset. You will acquire a thorough functional understanding of relational databases, using essential SQL queries to preprocess data, as well as coding and leveraging popular libraries in Python, like NumPy and matplotlib. You will also learn the best ways to manipulate and visualize data in R.

Module 4

By now, you will have developed a solid understanding of Python programming and statistical modeling. The concluding module gives you the opportunity to mold your data science expertise according to a field of your choosing. From developing next-gen fintech products to helping retail giants boost profitability through customer analytics, you’ll be able to make a valuable contribution to a diverse industry spectrum.