Learn the fastest growing programming language in the world!
Introduction to Python for Data Science is a hands on course, you will learn to write code from the first lesson!
Store, access, and manipulate data in lists and dictionaries
Write Python functions to facilitate code reuse
Use Jupyter Notebook, which is an interactive computational environment, in which you can combine code execution, rich text, mathematics and plots
Get certification in Python upon successful exam fulfillment
Day 1 : May 24
Day 2 : May 27
Day 3 : May 31
Day 4 : June 3
Day 5 : June 7
Day 6 : June 10
Python Data Structures
Data structures are the fundamental constructs that provides a particular way of organizing data so it can be accessed efficiently, depending on your use case.
More Data structures and Comparison operators
Advanced Python functions
Intro to Pandas
Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
Pandas groupby & Visualizations
Pandas groupby is used for grouping the data according to the categories and apply a function to the categories. An essential piece of analysis of large data is efficient summarization using aggregations.
Data visualization is the most important step in the life cycle of data science, data analytics, or we can say in data engineering. It is more impressive, interesting and understanding when we represent our study or analysis with the help of colours and graphics.