4.5
Beginner
2h 30min
Updated 3 weeks ago
Python Data Analysis and Visualization
Delve into Python data analysis and visualization using NumPy, SciPy, Pandas, and Seaborn. Gain insights into reading, cleaning, and visualizing data to generate actionable insights.
Content
1.
What is Analytics
2 Lessons
Get familiar with transforming raw data into actionable insights using Python.
2.
Python Basics for Analytics
7 Lessons
Walk through Python basics, key data structures, control flow, Numpy, and Scipy usage.
3.
Reading Data
5 Lessons
Examine reading data from CSV, JSON, raw files, and using Pandas for dataset analysis.
4.
Describing Data
4 Lessons
Grasp the fundamentals of data analysis and reshaping in Python using Pandas.
5.
Cleaning Data
6 Lessons
Take a closer look at handling missing data, outliers, scaling, and encoding categorical data.
6.
Visualizing Data
10 Lessons
Focus on Python data visualization using Matplotlib and Seaborn for comprehensive data analysis.
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