Data Analysis With Python
Data Analysis With Python
Included with
Recommended experience
Recommended experience
What you'll learn
Use NumPy/Pandas, load and clean data, analyze statistics, and visualize insights with Matplotlib/Seaborn in Jupyter for data science tasks.
Details to know
June 2026
1 assignment
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There are 6 modules in this course
Python is a core skill for anyone working with data—and this course shows you exactly how to use it in practice. Through real-world examples, you’ll build an end-to-end data analysis workflow using four of Python’s most powerful libraries: NumPy, Pandas, Matplotlib, and Seaborn. You’ll start by loading and cleaning messy datasets, then move into common statistical analysis and transformation techniques.
Finally, you’ll bring your insights to life with clear, compelling visualizations. Whether you’re just getting started in data or want to reinforce your Python fundamentals, this course will give you the tools and confidence to turn raw data into impactful results.
What's included
2 videos3 readings
2 videos•Total 2 minutes
- Course Introduction•1 minute
- Download Student Files•2 minutes
3 readings•Total 11 minutes
- Getting Started•1 minute
- Learner Files•5 minutes
- Data Analysis with Python - Glossary•5 minutes
What's included
22 videos5 readings
22 videos•Total 58 minutes
- Chapter Introduction - Loading & Cleaning Data•1 minute
- Introduction to NumPy & Pandas•1 minute
- NumPy Arrays•3 minutes
- Operations with NumPy Arrays•2 minutes
- Pandas Series•3 minutes
- Operations with Pandas Series•3 minutes
- Pandas DataFrame•4 minutes
- Loading Data•1 minute
- Generating Data with NumPy•4 minutes
- Generating Data with NumPy random()•3 minutes
- Importing Data with Packages•3 minutes
- Importing Data from csv•1 minute
- Cleaning Data•1 minute
- Exploring Data•5 minutes
- Changing Column Names, Data Types, & Indicies•6 minutes
- Identifying Missing Values•3 minutes
- Filling Missing Values•2 minutes
- Cleaning Duplicate Values•3 minutes
- Cleaning Erroneous Data•3 minutes
- Exporting Data•1 minute
- Chapter Exercise - Loading & Cleaning Data•1 minute
- Chapter Exercise Review•5 minutes
5 readings•Total 5 minutes
- Interactive Exercise 1•1 minute
- Loading Data - Notes•1 minute
- Interactive Exercise 2•1 minute
- Cleaning Data - Notes•1 minute
- Interactive Exercise 3•1 minute
What's included
18 videos4 readings
18 videos•Total 61 minutes
- Chapter Introduction - Analyzing Data•1 minute
- Transforming Data•1 minute
- Selecting Columns from a DataFrame•3 minutes
- Filtering Rows from a DataFrame•6 minutes
- Subsetting with loc & iloc•5 minutes
- Removing Rows with drop()•3 minutes
- Creating & Transforming Columns•6 minutes
- Sorting Columns•3 minutes
- Grouping & Aggregation•4 minutes
- Combining Data•6 minutes
- Statistical Analysis•1 minute
- Measures of Central Tendency•4 minutes
- Measures of Dispersion-cleaned•2 minutes
- Calculating a z-score-cleaned•2 minutes
- Identifying Outliers-cleaned•6 minutes
- Measuring Correlation•2 minutes
- Chapter Exercise - Analyzing Data•1 minute
- Chapter Exercise Review•5 minutes
4 readings•Total 4 minutes
- Transforming Data - Notes•1 minute
- Interactive Exercise 4•1 minute
- Statistical Analysis - Notes•1 minute
- Interactive Exercise 5•1 minute
What's included
18 videos2 readings
18 videos•Total 51 minutes
- Chapter Introduction - Visualizing Data•1 minute
- Visualizing Data for Exploratory Analysis•1 minute
- Building the DataFrames to Visualize•3 minutes
- Updating the DataFrames to Visualize•3 minutes
- Creating Histograms•4 minutes
- Creating Box Plots•3 minutes
- Creating a Pairplot•2 minutes
- Creating a Correlation Matrix Heatmap•5 minutes
- Visualizing Data for Sharing Insights•1 minute
- Rebuilding the DataFrames to Visualize•2 minutes
- Creating Scatter Plots•3 minutes
- Formatting Scatter Plots•5 minutes
- Creating Bar Plots•2 minutes
- Formatting Bar Plots•4 minutes
- Creating Line Charts•2 minutes
- Formatting Line Charts•5 minutes
- Chapter Exercise - Visualizing Data•1 minute
- Chapter Exercise Review - Visualizing Data•5 minutes
2 readings•Total 2 minutes
- Visualizing Data for Exploratory Analysis - Notes•1 minute
- Visualizing Data for Sharing Insights - Notes•1 minute
What's included
1 video
1 video•Total 1 minute
- Course Summary•1 minute
What's included
1 assignment
1 assignment•Total 30 minutes
- Qualified Assessment•30 minutes
Instructor
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