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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
- 22 lessons · 1h 18m
- Intermediate
Created by LearnKasts Demo
Free
What's included
- 22 lessons
- 7 modules
- 1h 18m
- Access on any device
- Lifetime access
- Certificate of completion
Curriculum
7 modules · 22 lessons
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Getting Started Quiz
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pandas Series — 1D Data 3 min
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pandas DataFrame — 2D Data 6 min
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Cleaning Messy Data 6 min
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Pandas Core Quiz
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groupby and Aggregation 6 min
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Merging and Joining DataFrames 5 min
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Exploratory Data Analysis (EDA) 6 min
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Data Analysis Quiz
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Visualising Data with Matplotlib 6 min
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Statistical Visualisation with Seaborn 6 min
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Data Visualisation Quiz
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NumPy Arrays and Vectorised Math 4 min
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Pivot Tables and Cross-tabulation 6 min
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Time Series Analysis 7 min
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Advanced Techniques Quiz
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Intro to scikit-learn — Train Your First Model 8 min
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Machine Learning Intro Quiz
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Capstone — Sales Performance Analysis 10 min
Description
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.
Your instructor
LearnKasts Demo
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Python Data Analytics
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Python Data Analytics
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