Big Data Analytics and AI / Machine Learning with Python Coding / Programming (beginner to Intermediate)

• Write computer program in Python language
• Identify and employ appropriate statistical algorithms and data models
• Apply Python powerful libraries for data analytics and visualization
• Apply Python powerful libraries for machine learning
• Integrate knowledge and abilities to solve problems with big-data analysis and to diagnose unintended outcomes

What You'll Learn

• Python Basics (2hr)
• Numbers Data Type / Variables
• Strings and Printing
• Boolean Data Type
• Comparison / Logic Operators
• Data Structures (2hr)
• Lists
• Tuples
• Sets
• Dictionaries
• Programming Fundamentals (2hr)
• Conditions / Branching
• Loops
• Functions
• OOP
• Statistics Essentials (3hr)
• Describing variability
• Probability distributions
• Regression
• Data Manipulation with Numpy (2hr)
• Arrays
• Indexing / Selection
• Operations
• Data Processing with Pandas (2hr)
• Series and DataFrames
• Missing Data and GroupBy
• Concatenating, Merging, Joining
• Operations
• Data Input / Output
• Graphs and Data Visualization with Matplotlib (3hr)
• Matplotlib Graphs
• Seaborn heatmap / pair plots
• AI and Machine Learning (3hr)
• Integration to solve problems and diagnose unintended outcomes (3hr)

Minimum Entry Requirement

Pass at least GCE 'O' level or GCE 'N' level Math

Able to create worksheets in Excel or similar application