Data Science with Python Training
The Data Science with Python training covers essential topics of python that will help you learn Data Science. You will learn the basics of Computer Science, Introduction to Programming Languages like C & Python. In addition, you will learn Machine Learning, Deep Learning, Neural Networks. By the end of this course, you will have a conceptual understanding of basics of programming language, working with operating systems such as Linux, Windows, MacOS and using Python with Jupyter Notebook to understand Data Science.
Basics of CS
- Binary System, Digits
- Digital Data: Images, Videos, Music, Text Files
- Intro to Algorithms & Pseudocode
- Scratch Basics
Operating Systems: Unix vs Windows
- Terminal / Command Prompt
- BASH basics, User Permissions
- Difference between programs and scripts
- Remote Connection to Server/Instance (SSH), ./bashrc
Intro to Programming Languages
- Compiler vs. Interpreter
- Memory & Storage
- Program Data Structure & Data Types
- Arrays, Variables, Lists, Sets and Dictionaries
Object Oriented Programming
- Learning how to code: C Programming
- Functions, Arguments, Return Values, Variables
- Main, Header Files, Comments
- Operators, Conditional Statements, Loops
- Memory Overflow/Debugging
- How Python Simplifies our lives
Introduction to Python Features
- Installing and Using Ipython3
- Variables and Data Types
- String Formatting
(Recap of) Linux & Python Basics
- Numpy & Advanced Python and OOP
- Data Visualisation using Matplotlib
- Data Processing with Pandas
- Introduction to Machine Learning
- Machine Learning Techniques
- Intro to Deep Learning: Neural Networks
- ML Models, Accuracy Assessment, Performance & Prediction
