Course overview
In this course, you’ll learn to use NumPy and pandas for data exploration, preparation, and analysis. You’ll start this course by learning how NumPy can streamline your data science workflow with vectorized operations, ndarrays, and Boolean indexing. You’ll then discover how pandas can super-charge your data exploration, preparation, and analysis. Finally, you’ll bring everything you’ve learned to a data analysis project to test your skills.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Key skills
- Analyzing data with NumPy and pandas
- Implementing coding concepts such as vectorized operations and Boolean indexing
- Optimizing your data science workflow and building proficiency in data analysis
Course outline
Introduction to Pandas and NumPy for Data Analysis [7 lessons]
Introduction to NumPy 2h
Lesson Objectives- Improve your workflow using vectorized operations
- Select data from NumPy ndarrays
- Analyze data using NumPy methods
Boolean Indexing with NumPy 2h
Lesson Objectives- Create Boolean arrays based on data values
- Select specific rows and columns using Boolean arrays
- Analyze data using Boolean indexing
Introduction to Pandas 2h
Lesson Objectives- Differentiate between pandas DataFrame and Series objects
- Select data in pandas using axis labels
- Generate a count of unique non-null values in a DataFrame column
Exploring Data with Pandas: Fundamentals 2h
Lesson Objectives- Explore data using common methods
- Assign data in pandas using index labels
- Analyze data using pandas
Exploring Data with Pandas: Intermediate 3h
Lesson Objectives- Select data in pandas by location
- Create complex filters using Boolean masks in pandas
- Analyze data using pandas
Data Cleaning Basics 2h
Lesson Objectives- Read files using different encodings
- Extract and convert numeric values from string values
- Resolve missing values
Guided Project: Exploring eBay Car Sales Data 3h
Lesson Objectives- Clean a dataset on your own
- Employ new pandas methods
- Present your analysis to support your code
Projects in this course
Exploring eBay Car Sales Data
For this project, we’ll assume the role of data analysts for a used car classifieds service to explore and clean a dataset of car listings from eBay Kleinanzeigen, a section of the German eBay website.
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We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
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Go from zero to job-ready
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Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Share the evidence of your hard work with your network and potential employers.
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