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Data Science Academy

PYTHONPythonAiData_science

Turn raw data into insight with Python. Master NumPy, pandas, visualization, and scikit-learn, from cleaning data to building and evaluating models.

🤖 AI-Powered📚 30 courses👥 100,000+ learners⭐ 4.9 rating
Course Overview

Data Science with Python

Turn raw data into insight with Python. Master NumPy, pandas, visualization, and scikit-learn, from cleaning data to building and evaluating models. This track covers 30 progressive mini-courses from absolute beginner (A1) through advanced (B2), with short focused lessons and quick quizzes to lock in each concept.

What You Will Learn

You start with the fundamentals and build up through intermediate and advanced topics, each course building on the last. Every lesson is practical and bite-sized, with a 24/7 AI tutor available when you need help.

How It Works

Each course is broken into four focused, bite-sized lessons. Complete a few lessons a day and you will master the full track in weeks, not months.

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How You'll Learn

🎯
Interactive Lessons
Hands-on coding exercises with real-time feedback
🤖
AI Tutor
Get instant help from our AI when you're stuck
💻
Built-in Editor
Write and run code directly in your browser
🏆
Certificate
Earn a certificate when you complete the course
Curriculum

30 Courses

Every course in the Data Science Academy learning path.

01

What Data Science Actually Is

A14 lessons

Explain what data science is and where it fits among analysis, ML, and engineering.

02

Your Jupyter Workbench

A14 lessons

Set up Python and run your first analysis inside a Jupyter notebook.

03

NumPy: Arrays That Compute Fast

A14 lessonsPRO

Create and operate on NumPy arrays for fast numerical work.

04

NumPy: Reshaping and Aggregating

A14 lessonsPRO

Reshape arrays and compute summaries along chosen axes.

05

Meet the pandas Series

A14 lessonsPRO

Use a labeled pandas Series as the building block of tabular data.

06

The pandas DataFrame, End to End

A24 lessonsPRO

Build, inspect, and navigate a DataFrame fluently.

07

Load Real Data Into pandas

A24 lessonsPRO

Read CSV and Excel files and write clean output back out.

08

Select and Filter Your Data

A24 lessonsPRO

Pull out exactly the rows and columns you need with conditions.

09

Summary Statistics That Tell a Story

A24 lessonsPRO

Compute and read the core descriptive statistics of a dataset.

10

Sort, Group, and Plot Basics

A24 lessonsPRO

Order data, form first groups, and draw a simple matplotlib chart.

11

Clean Data and Tame Missing Values

B14 lessonsPRO

Detect, drop, and fill missing data without distorting results.

12

GroupBy and Aggregation Mastery

B14 lessonsPRO

Split, aggregate, and transform groups for rich summaries.

13

Merge and Join Datasets

B14 lessonsPRO

Combine tables with the right join type and key columns.

14

Reshape With Pivot and Melt

B14 lessonsPRO

Move between wide and long layouts to fit any analysis.

15

Work With Dates and Times

B14 lessonsPRO

Parse, extract from, and resample datetime data confidently.

16

Exploratory Data Analysis in Practice

B14 lessonsPRO

Run a structured EDA pass to understand a fresh dataset.

17

Beautiful Plots With seaborn

B14 lessonsPRO

Create statistical visualizations that reveal patterns fast.

18

Feature Engineering Foundations

B14 lessonsPRO

Craft new features that make models smarter.

19

Correlation and Distributions

B14 lessonsPRO

Measure relationships and read distribution shapes correctly.

20

Your First scikit-learn Model

B14 lessonsPRO

Train and predict with the scikit-learn estimator workflow.

21

Train, Test, and Cross-Validate

B24 lessonsPRO

Split data honestly and validate models without leakage.

22

Regression Models That Predict Numbers

B24 lessonsPRO

Build and compare models for continuous targets.

23

Classification Models That Predict Classes

B24 lessonsPRO

Train models that assign records to categories.

24

Evaluate Models the Right Way

B24 lessonsPRO

Pick and read the metrics that match your problem.

25

Pipelines and Preprocessing at Scale

B24 lessonsPRO

Wrap transforms and models into leak-proof pipelines.

26

Reduce Dimensions With PCA

B24 lessonsPRO

Compress many features into a few informative components.

27

Find Groups With Clustering

B24 lessonsPRO

Discover natural segments in unlabeled data.

28

Time Series Forecasting Basics

B24 lessonsPRO

Analyze and forecast data ordered in time.

29

Handle Imbalanced and Messy Targets

B24 lessonsPRO

Train fair models when classes are rare or skewed.

30

Interpret Models and Communicate Results

B24 lessonsPRO

Explain model decisions and present findings that drive action.

FAQ

Frequently Asked Questions

Is the Data Science Academy course free?

Yes. You can start the Data Science Academy course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn PYTHON?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior PYTHON experience.

How will I learn PYTHON on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing Data Science Academy?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the Data Science Academy course.

Can I learn PYTHON on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn PYTHON on any device and your progress syncs across them.

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