Data Analytics and Visualization with Python (Synchronous e-learning)
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