Python For Data Science

In this course we introduce Python and construct building. Python is the mainstream programming language today in Data science, analytics, Machine learning and Artificial intelligence.

We learn 8 pillars in Python programming for Data science – Subset, Aggregation, Data Structure,

Loop, Function, Join, Pandas and Numpy. Along with those we learn 6 most frequently appeared bugs in

Pythons and how to handle those. At the end of the 1 month course, you can effortlessly write and automate python codes using loops and functions.

Along with Python skills, we teach construct building. Construct is approach to solve a data science problem – a must skill to be a successful data scientist. In fact how good you are at building constructs, would decide how successful you would be in your data science career. We pick up a real business problem, and solve it using at least 5 constructs, while programming part is done in Python.