Course Objective

Learners will be able to perform data analysis using Python to uncover new insights and patterns in data

Learning Outcomes

• LO1 – Learners will be able to implement data analysis processes to define hypothesis and solve problems.
• LO2 – Learners will be able to analyse findings from data and evaluate data models.
• LO3 – Learners will be able to conduct data exploration and statistical analysis.
• LO4 – Learners will be able to conduct present data analysis results using visualization techniques.

What You’ll Learn

LU1 Introduction to Python programming

• Define hypothesis to measures and test problems
• Introduction of Python for data analysis
• Explore data types and usage
• Logical data modeling steps – control structures and functions
• Python modules and packages

LU2  Data Analysis  

• Install Python Pandas library for data analysis
• Import and prepare data
• Qualitative and quantitative analysis
• Analyse findings to draw conclusion
• Evaluate data models

LU3 Data Mining and Statistical Analysis

• Data mining techniques
• Hypothesis testing
• Statistical data analysis

LU4 Data Visualization and Storytelling

• Data Interpretation with data visualization

•  Present data analysis findings with data storytelling