Python is one of the most popular programming languages in the world. It gained prominence owing to its simplicity and ease of use. Its syntax is very similar to english language.
It is an open source free for use tool and has a vast community that contributed over 70K+ libraries. These rich set of libraries makes coding easy for developers and data scientists. Often libraries replace long codes with fewer lines of code.
- Never memorize code!
- Free and open source
- Great community
- Plenty of libraries for Data Science & Machine Learning
- Easy and intuitive to use
Note:
- Data Science is not about programming languages/tools such as Python, R, Excel, Jupyter Notebook, Google Colab, etc
- Data Science is about using the above tools and techniques, and, if required, inventing new tools and techniques, to solve a problem using “data” in a “scientific” way in a specific domain!
Class Sessions
1- Data Science Fundamentals
2- Problems Data Science Can Solve
3- The Data Science Process
4- What is Python?
5- Get Started with Google Colab
6- Comments in Python
7- Operators in Python
8- Variables in Python
9- Input and Output in Python
10- Data Structures & Data Types in Python
11- Strings
12- Introduction & Implementation of List in Python
13- Introduction & Implementation of Tuple in Python
14- Introduction & Implementation of Dictionary in Python
15- Inbuilt Functions
16- Define functions in Python
17- Methods in Python
18- Difference between functions and methods
19- Packages in Python
20- Python Notebook