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Computer Programming
Data Science
Data Science
Curriculum
5 Sections
25 Lessons
Lifetime
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Introduction
1
1.0
Introduction to Data Science
NumPy
6
2.1
Introduction to NumPy
2.2
Creating NumPy arrays
2.3
Array indexing and slicing
2.4
Sorting arrays
2.5
Array concatenation and splitting
2.6
Computation on NumPy arrays
Matplotlib
4
3.1
Line plot
3.2
Scatter Plot
3.3
Histograms
3.4
Pie chart
Pandas
8
4.1
Introduction to Pandas
4.2
Pandas Series
4.3
Pandas DataFrame
4.4
Indexing and Selecting Data
4.5
Boolean Indexing
4.6
Sorting a DataFrame
4.7
Handling Missing Data
4.8
Aggregation and grouping
Seaborn
6
5.1
Seaborn Datasets
5.2
Visualizing statistical relationships
5.3
Visualizing distributions of data
5.4
Visualizing categorical data
5.5
Statistical estimation and error bars
5.6
Estimating regression fits
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