Learn to use Python Like a Data Scientist. Including tutorials on Numpy, Pandas, Matplotlib , Seaborn and a lot more!!
This module teaches students to program in Python and is scheduled to start their career in Artificial Intelligence and Data Science.
What you’ll learn
- You will first learn how to Install Python and Jupyter on your desktop/laptop.
- Programming Languages and Computation.
- Programming in Python.
- Python Commands.
- Python Data Structures – Lists.
- Python Data Structures – Dictionary and Tuple.
- Functions and Scope.
- Classes and Methods.
- Python Comprehensions in Lists and Dictionaries.
- List and Dict Comprehensions.
- File IO in Python.
- Handling CSV files in Python.
- CSV Reading and Writing.
- JSON Reader and Writer in Python.
- Pandas in Python.
- Pandas in Python Notebook.
- Seaborn visualisation in Python.
- Data pre processing using python.
- Learn how to analyze, retrieve and clean data with Python – Data cleaning.
- You will understand and learn the basics of For Loops and Advanced For Loops.
- You will understand Why foundations Modify Lists and Dictionaries and Functions.
- Data Cleaning and Preparation for Machine Learning.
Course Content
- Introduction and Installations –> 2 lectures • 8min.
- Week 1 –> 7 lectures • 2hr 16min.
- Week 2 –> 6 lectures • 2hr 8min.
- Week 3 –> 5 lectures • 1hr 53min.
- Week 4 –> 4 lectures • 1hr 30min.
- Real Application – Customer Data Preprocessing –> 2 lectures • 28min.
Requirements
- No programming experience needed , you will be taught everything from scratch up to a professional level.
This module teaches students to program in Python and is scheduled to start their career in Artificial Intelligence and Data Science.
If you want to enter the domain of Data Science and are from a different discipline or career path then this module is for you to enroll in .
You should prepare for the practical workshops by watching the lecture videos, reading the written material including the assigned practical tasks, and prepare some of the initial practical tasks so you are ready for the days work.
The format of this module is a 4-week intensive module which is designed to teach you the necessary programming skills to excel throughout the remaining of your exciting program. I understand that you come from a variety of different backgrounds and encourage you to engage and communicate with us about your learning where possible; whether you are completely new to programming or whether you’ve dabbled in it before. Programming is a skill which takes time to master, and the more you practice these skills the better you will become.
The first two weeks contain many smaller topics which are fundamental to programming understanding, with later weeks utilizing these for more advanced applications.
All of the programming part will take place in Jupyter Notebook and relevant python version installation and usage will be shared in this course.
Week 1.
- Environments
- Variables
- Data Primitives
- Data Structures (Collections)
- Control Flow
- Scope Teaching
Week 2.
- Functions
- List/Dict Comprehensions
- Libraries
- Python Modules
- Object Oriented Python
- Teaching
Week 3.
- Coursework Introduction
- Numpy and N-Dimensional Matrices
- File Input/output
- Error-handling / Exceptions Teaching
Week 4.
- Introduction to Pandas library
- Visualization of Data with Python Coursework
Real Application.
- Customer Data Pre-Processing