3.87 out of 5
515 reviews on Udemy

Python Programming with Data Science

Learn the most popular programming language in 2020: Python!
You will first learn how to Install Anaconda and Jupyter on your desktop/laptop
You will understand and learn the basics of For Loops and Advanced For Loops
You will have clarity on Python generators and will master the flow of your code using "If Else"
You will understand Why foundations Modify Lists and Dictionaries and Functions
Learn how to analyze, retrieve and clean data with Python
Get introduced to Using API's
Learn Concatenation (Combining Tables) with Python and Pandas and Manipulating Time and Date Data with Python Datetime
Data Cleaning and Preparation for Machine Learning
You will learn to Use Pandas with Large Data Sets, Time Series Analysis and Effective Data Visualization in Python

Why Learn Python For Data Science?

Before we explore how to learn Python for data science, we should briefly answer why you should learn Python in the first place.

In short, understanding Python is one of the valuable skills needed for a data science career.

Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:

  • In 2016, Python replaced Java as the most popular language in colleges and universities and has never looked back

  • In 2016, it overtook R on Kaggle, the premier platform for data science competitions.

  • In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.

  • In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.

  • In 2019 IEEE Spectrum (world’s largest professional organization dedicated to applied science and engineering) has ranked Python at the top of the list of ‘top programming languages in 2019’

  • Tiobe analysts believe that within three to four years’ time, Python will “probably replace C and Java” to become the most popular programming language in the world

Data science experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.

According to Indeed, the average salary for a Data Scientist is $127,918.

The good news? That number is only expected to increase. The experts at IBM predicted a 28% increase in demand for data scientists by the year 2020.

So, the future is bright for data science, and Python is just one piece of the proverbial pie. Fortunately, learning Python and other programming fundamentals is as attainable as ever.

But remember – just because the steps are simple doesn’t mean you won’t have to put in the work. If you apply yourself and dedicate meaningful time to learning Python, you have the potential to not only pick up a new skill, but potentially bring your career to a new level.

Welcome to Python

A Warm Welcome to the Unique World of Python!


Python Intro

Intro Continued

Python Part 1

Python: Part 2

Anaconda and Jupyter Installation

Python: Part 3

Basic programs using Jupyter

Python: Part 4


Python: Part 5

Part 5

Python: Part 6 Set function and Dictionaries

Part 6

Part 7: Conditional Statements: IF Elif Else

Conditional Statements: IF Elif Else

Part 8: Numpy Fundas

Numpy Fundas


Numpy Arrays Part 1
Numpy Arrays Part 2

Day 11 - Pandas

Day 11

Day 12 - Play with Data using Numpy & Pandas

Play with Data using Numpy & Pandas

Day 13

Day 13

Day 14

Day 14

Data Files/Resources

Data Files
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
3.9 out of 5
515 Ratings

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17 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion

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