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Python for Data Science: From NumPy to EDA

This course is for Python programmers ready to enter data science. You will master NumPy, Pandas, Matplotlib, and Seaborn to manipulate, analyze, and visualize complex datasets, culminating in a complete exploratory data analysis project.

6
Sectors
29
Missions
R

Created by Route Radiant

@routeradiant · view creator

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Enroll free to unlock every interactive mission, your progress tracker, and a verified certificate when you finish.

Full Curriculum

1

High-Performance Computing with NumPy

Learn to perform efficient numerical computations on large datasets using the foundational NumPy library.

5 missions
2

Data Wrangling with Pandas

Master the core tool for data manipulation in Python, the Pandas DataFrame.

5 missions
3

Advanced Pandas: Grouping and Combining

Perform complex data transformations by grouping, merging, and reshaping DataFrames.

5 missions
4

Foundational Visualization with Matplotlib

Build a wide range of static, publication-quality plots from the ground up using Matplotlib.

5 missions
5

Statistical Visualization with Seaborn

Leverage the high-level Seaborn library to create beautiful and informative statistical graphics.

4 missions
6

Project: Exploratory Data Analysis in Action

Apply all your learned skills to perform a complete exploratory data analysis on a real-world dataset.

5 missions

What You'll Learn

  • Creating and Inspecting NumPy Arrays
  • Array Indexing and Slicing
  • Vectorized Operations
  • Statistical Aggregations
  • Broadcasting and Reshaping
  • Introducing Series and DataFrames
  • Data Selection with loc and iloc
  • Filtering with Boolean Masking
  • Handling Missing Data
  • Modifying DataFrames
  • Grouping and Aggregation
  • Merging and Joining DataFrames

Frequently Asked Questions

What is Python for Data Science: From NumPy to EDA?

Python for Data Science: From NumPy to EDA is a free, AI-crafted learning course: This course is for Python programmers ready to enter data science. You will master NumPy, Pandas, Matplotlib, and Seaborn to manipulate, analyze, and visualize complex datasets, culminating in a complete exploratory data analysis project.

Who is Python for Data Science: From NumPy to EDA for?

The course is designed for intermediate learners. The curriculum is split into 6 sectors with 29 total missions, so you can work through the material at your own pace.

How do the missions work?

Each sector contains a sequence of missions. Enroll for free to unlock them one by one — completing a mission unlocks the next, so you build on what you have learned as you go.

Is this course really free?

Yes. Python for Data Science: From NumPy to EDA is part of the Route Radiant community library and is completely free to enroll in and learn from. Your progress and certificates stay in your account.

Mastery Awaits

Complete all 29 missions to unlock your verified holographic certificate.

Enroll and finish all missions to unlock

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