Data Science
Beginner
Online
Data Science with Pandas & NumPy
Learn data manipulation, analysis, and visualisation using Python's most powerful libraries. Work with real datasets from finance, healthcare, and social media.
8 weeks
5 lessons
3 enrolled
0★ (0 reviews)
What You Will Learn
- Load and clean data with Pandas
- Perform numerical computing with NumPy
- Create compelling visualisations with Matplotlib & Seaborn
- Statistical analysis and hypothesis testing
- Aggregate and merge datasets
- Present findings in a data story
Requirements
- Basic Python knowledge (variables, loops, functions)
- No statistics background required
Syllabus
Week 1-2: NumPy Arrays & Operations Week 3-4: Pandas DataFrames & Data Cleaning Week 5-6: Data Visualisation Week 7-8: Statistics & Capstone Analysis
1.
NumPy Arrays & Vectorised Operations
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30 min
Watch
2.
Pandas DataFrames: Load & Explore
35 min
3.
Data Cleaning & Transformation
40 min
4.
Data Visualisation with Matplotlib
35 min
5.
Statistical Analysis & Hypothesis Tests
45 min
Kofi Mensah
Data Scientist with expertise in statistical modelling, pandas, and scikit-learn. MSc Data Science.
2 Courses
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