Data Analytics and Visualization with Python
About This Course
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
• 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
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old