Big Data Analytics for Technical Professionals
Fundamental 15-day outline
Welcome to "Big Data Analytics for Technical Professionals," an in-depth 15-day program designed to equip technical professionals with the skills they need to tackle the ever-evolving world of Big Data. This course has been tailored with a Malaysian context, incorporating real-world examples and case studies from the Malaysian industry. With an engaging curriculum that includes interactive group projects and game development, this course will provide you with both the technical expertise and creative thinking skills required to excel in Big Data analytics.
Introduction to Programming Using Python
(3 Days)
Start your journey with an introduction to Python programming. This 3-day module will cover the basics, allowing you to get comfortable with Python syntax, data types, and basic operations. Malaysia's booming tech industry could be your playground as you learn to code!
Learning Outcomes
- Understand the basics of programming and Python syntax
- Learn essential Python data types (lists, dictionaries, strings, integers, floats)
- Implement basic operations (loops, conditionals)
Prerequisites
- Basic computer literacy
- No prior programming experience required
Outline
- Day 1: Python Basics
- Introduction to Python and its role in the Malaysian tech landscape
- Setting up Python Environment
- Python Syntax and Variables
- Hands-On: "Hello, Malaysia" Game
- Day 2: Data Types and Structures
- Strings and Text Manipulation
- Lists and Dictionaries
- Group Project: Building a Simple Malaysian Food Recommender
- Day 3: Basic Operations
- Conditional Statements
- Loops
- Functions
- Mini Project: A Simple Malaysian Weather App
Python for Analytics
(6 Days)
Dive deeper into Python’s powerful libraries to get a better grasp of analytics tools. Use real Malaysian datasets to draw insights and improve decision-making.
Learning Outcomes
- Understand data manipulation and cleaning using Pandas
- Learn basic data visualization techniques using Matplotlib and Seaborn
- Gain experience with machine learning algorithms using scikit-learn
Prerequisites
- Basic understanding of Python programming
Outline
- Day 1: Data Manipulation with Pandas
- Reading and Writing Data
- Data Cleaning
- Hands-On: Cleaning Malaysian Census Data
- Day 2: Data Visualization
- Introduction to Matplotlib and Seaborn
- Visualizing Malaysian Tourism Statistics
- Group Project: Malaysian Election Data Visualization
- Days 3-4: Machine Learning with Scikit-Learn
- Classification and Regression
- Clustering
- Mini Project: Predicting Kuala Lumpur Property Prices
- Days 5-6: Advanced Topics
- Natural Language Processing with NLTK
- Time Series Analysis
- Capstone Project: Analyzing Malaysian Stock Market Trends
SQL Essentials Using MS SQL
(2 Days)
Master the art of database queries with MS SQL. In this 2-day section, you'll explore the basics of SQL language, focusing on query formulation and data extraction.
Learning Outcomes
- Understand the role and importance of databases in analytics
- Learn SQL syntax and query formulation
- Perform basic data manipulation using SQL
Prerequisites
- Basic computer literacy
Outline
- Day 1: SQL Basics
- Introduction to MS SQL and its relevance in Malaysia
- SQL Syntax and Data Types
- SELECT Queries
- Hands-On: Querying a Malaysian Business Database
- Day 2: Advanced SQL
- JOIN Operations
- Aggregate Functions
- Group Project: Building a Simple SQL-driven Game
Descriptive Statistics
(2 Days)
Statistics are the backbone of analytics. Learn the basics of descriptive statistics to make sense of complex data and derive meaningful insights.
Learning Outcomes
- Understand the role of descriptive statistics in analytics
- Learn to compute and interpret mean, median, and standard deviation
- Use Python for statistical analysis
Prerequisites
- Basic understanding of Python programming
Outline
- Day 1: Fundamentals of Descriptive Statistics
- Types of Data
- Measures of Central Tendency
- Hands-On: Analyzing Malaysian Exam Scores
- Day 2: Variability and Distribution
- Measures of Variability
- Data Distribution
- Mini Project: Descriptive Analysis of Malaysian Health Data
Data Storytelling
(2 Days)
Data is powerful, but it’s the storytelling that persuades. In this 2-day module, transform your data into compelling narratives that resonate with the Malaysian audience.
Learning Outcomes
- Understand the principles of data storytelling
- Create interactive dashboards
- Learn to communicate analytics insights effectively
Prerequisites
- Basic understanding of Python and SQL
Outline
- Day 1: Principles of Data Storytelling
- The Art of Storytelling
- Data Narratives and Visualization
- Hands-On: Building a Story around Malaysian Economic Trends
- Day 2: Interactive Dashboards and Presentation
- Introduction to Dashboards
- Tools for Interactive Dashboards
- Group Project: Creating a COVID-19 Dashboard for Malaysia
Practical, connected learning
My wider training approach brings hands-on implementation and systems thinking together, connecting technology with real operational needs.