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Course · Intermediate

Python Data Analytics

Learn Python for data analytics from scratch — pandas, NumPy, matplotlib, seaborn, and scikit-learn — through hands-on Jupyter notebook lessons that take you from environment setup to a real-world sales capstone project.

4 learners 21 lessons · 1h 18m
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What you'll learn
This course teaches you the complete Python data analytics workflow using the tools professionals use every day. You'll start by setting up Jupyter and your Python environment, then work through pandas for data wrangling, groupby and merge operations for analysis, matplotlib and seaborn for visualisation, NumPy and pivot tables for advanced techniques, and scikit-learn for your first machine learning model. Every lesson is hands-on — you'll write and run real code, see actual outputs, and finish with a capstone project analysing a real-world sales dataset from start to finish.
Curriculum
7 modules · 21 lessons
Getting Started 3 lessons · 6m
Getting Started Quiz
Pandas Core 4 lessons · 13m
pandas Series — 1D Data 3 min
pandas DataFrame — 2D Data 6 min
Cleaning Messy Data 6 min
Pandas Core Quiz
Data Analysis 4 lessons · 16m
groupby and Aggregation 6 min
Merging and Joining DataFrames 5 min
Exploratory Data Analysis (EDA) 6 min
Data Analysis Quiz
Data Visualisation 3 lessons · 12m
Visualising Data with Matplotlib 6 min
Statistical Visualisation with Seaborn 6 min
Data Visualisation Quiz
Advanced Techniques 4 lessons · 16m
NumPy Arrays and Vectorised Math 4 min
Pivot Tables and Cross-tabulation 6 min
Time Series Analysis 7 min
Advanced Techniques Quiz
Machine Learning Intro 2 lessons · 8m
Intro to scikit-learn — Train Your First Model 8 min
Machine Learning Intro Quiz
Capstone Project 1 lesson · 10m
Capstone — Sales Performance Analysis 10 min
LearnKasts Demo
LearnKasts Demo
Free
21 lessons
7 modules
1h 18m
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Lifetime access