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Data Analysis with Python & Pandas
Curriculum
4 Sections
15 Lessons
4 Hours
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Python for Data
4
1.1
Python Setup and Notebooks
18 Minutes
1.2
Python Refresher for Analysis
11 Minutes
1.3
NumPy Arrays Essentials
17 Minutes
1.4
Reading Data: CSV, Excel, SQL
13 Minutes
Pandas Core
4
2.1
DataFrames and Series
17 Minutes
2.2
Selecting and Filtering Data
11 Minutes
2.3
Handling Missing Values
26 Minutes
2.4
Data Types and Conversions
11 Minutes
Transforming Data
4
3.1
GroupBy: Split, Apply, Combine
10 Minutes
3.2
Merging and Joining Datasets
17 Minutes
3.3
Reshaping: Pivot and Melt
15 Minutes
3.4
Dates, Times and Strings
15 Minutes
Analysis Workflows
3
4.1
EDA Workflow on a Real Dataset
11 Minutes
4.2
Visualisation with Matplotlib and Seaborn
9 Minutes
4.3
Course Project: Sales Data Analysis
20 Minutes
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