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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.

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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

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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.

  • From Raw Data to Real Decisions
  • Analyst, Scientist, or Engineer?
  • The Five Stages of a Data Project
  • +1 more
02

Your Jupyter Workbench

A14 lessons

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

  • Install Python the Painless Way
  • Cells, Kernels, and Run Order
  • Markdown Notes Beside Your Code
  • +1 more
03

NumPy: Arrays That Compute Fast

A14 lessonsPRO

Create and operate on NumPy arrays for fast numerical work.

  • From Python List to ndarray
  • Shape, Size, and dtype
  • Vectorized Math Without Loops
  • +1 more
04

NumPy: Reshaping and Aggregating

A14 lessonsPRO

Reshape arrays and compute summaries along chosen axes.

  • Reshape and Flatten Arrays
  • Sum, Mean, and the Axis Trick
  • Boolean Masks for Selection
  • +1 more
05

Meet the pandas Series

A14 lessonsPRO

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

  • A Column With a Name and Index
  • Label-Based vs Position-Based Access
  • Series Math and Alignment
  • +1 more
06

The pandas DataFrame, End to End

A24 lessonsPRO

Build, inspect, and navigate a DataFrame fluently.

  • Rows, Columns, and the Index
  • Build a DataFrame From Scratch
  • head, info, and describe
  • +1 more
07

Load Real Data Into pandas

A24 lessonsPRO

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

  • read_csv and Its Useful Options
  • Open Excel Sheets in pandas
  • Parse Dates and Set dtypes on Load
  • +1 more
08

Select and Filter Your Data

A24 lessonsPRO

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

  • Pick Columns by Name
  • Filter Rows With Conditions
  • Combine Filters With AND and OR
  • +1 more
09

Summary Statistics That Tell a Story

A24 lessonsPRO

Compute and read the core descriptive statistics of a dataset.

  • Mean, Median, and Mode
  • Spread: Variance and Std Dev
  • Min, Max, and Quartiles
  • +1 more
10

Sort, Group, and Plot Basics

A24 lessonsPRO

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

  • Sort by One or Many Columns
  • Your First groupby Summary
  • Line and Bar Charts in matplotlib
  • +1 more
11

Clean Data and Tame Missing Values

B14 lessonsPRO

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

  • Find the NaNs Hiding in Your Table
  • Drop vs Fill: Choosing Wisely
  • Impute With Mean, Median, or Mode
  • +1 more
12

GroupBy and Aggregation Mastery

B14 lessonsPRO

Split, aggregate, and transform groups for rich summaries.

  • Split-Apply-Combine Explained
  • Multiple Aggregations With agg
  • Group by Several Keys
  • +1 more
13

Merge and Join Datasets

B14 lessonsPRO

Combine tables with the right join type and key columns.

  • Inner, Left, Right, and Outer
  • Merge on Keys and Indexes
  • concat to Stack and Append
  • +1 more
14

Reshape With Pivot and Melt

B14 lessonsPRO

Move between wide and long layouts to fit any analysis.

  • Wide vs Long, and Tidy Data
  • pivot_table for Cross-Tabs
  • melt to Go Long
  • +1 more
15

Work With Dates and Times

B14 lessonsPRO

Parse, extract from, and resample datetime data confidently.

  • Parse Strings Into Datetimes
  • Extract Year, Month, and Weekday
  • Resample to Daily or Monthly
  • +1 more
16

Exploratory Data Analysis in Practice

B14 lessonsPRO

Run a structured EDA pass to understand a fresh dataset.

  • Frame the Questions First
  • Profile Every Column
  • Univariate Then Bivariate
  • +1 more
17

Beautiful Plots With seaborn

B14 lessonsPRO

Create statistical visualizations that reveal patterns fast.

  • Why seaborn Over Raw matplotlib
  • Distributions: hist, kde, box
  • Relationships: scatter and line
  • +1 more
18

Feature Engineering Foundations

B14 lessonsPRO

Craft new features that make models smarter.

  • Bin Numbers Into Categories
  • Encode Categorical Columns
  • Scale and Normalize Numbers
  • +1 more
19

Correlation and Distributions

B14 lessonsPRO

Measure relationships and read distribution shapes correctly.

  • Correlation Is Not Causation
  • Pearson vs Spearman
  • Read a Correlation Heatmap
  • +1 more
20

Your First scikit-learn Model

B14 lessonsPRO

Train and predict with the scikit-learn estimator workflow.

  • The fit and predict Contract
  • Features X and Target y
  • Train a Linear Regression
  • +1 more
21

Train, Test, and Cross-Validate

B24 lessonsPRO

Split data honestly and validate models without leakage.

  • Why You Hold Out a Test Set
  • train_test_split Done Right
  • K-Fold Cross-Validation
  • +1 more
22

Regression Models That Predict Numbers

B24 lessonsPRO

Build and compare models for continuous targets.

  • Linear Regression Revisited
  • Ridge and Lasso Regularization
  • Decision Tree Regression
  • +1 more
23

Classification Models That Predict Classes

B24 lessonsPRO

Train models that assign records to categories.

  • Logistic Regression for Yes/No
  • k-Nearest Neighbors
  • Decision Trees and Random Forests
  • +1 more
24

Evaluate Models the Right Way

B24 lessonsPRO

Pick and read the metrics that match your problem.

  • Regression Metrics: MAE, MSE, R2
  • The Confusion Matrix Decoded
  • Precision, Recall, and F1
  • +1 more
25

Pipelines and Preprocessing at Scale

B24 lessonsPRO

Wrap transforms and models into leak-proof pipelines.

  • Why Pipelines Beat Manual Steps
  • ColumnTransformer for Mixed Types
  • Tune With GridSearchCV
  • +1 more
26

Reduce Dimensions With PCA

B24 lessonsPRO

Compress many features into a few informative components.

  • The Curse of Too Many Features
  • How PCA Finds Components
  • Scale First, Then Fit PCA
  • +1 more
27

Find Groups With Clustering

B24 lessonsPRO

Discover natural segments in unlabeled data.

  • Supervised vs Unsupervised
  • k-Means and Choosing k
  • Hierarchical and DBSCAN
  • +1 more
28

Time Series Forecasting Basics

B24 lessonsPRO

Analyze and forecast data ordered in time.

  • Trend, Seasonality, and Noise
  • Rolling Windows and Lags
  • Stationarity and Differencing
  • +1 more
29

Handle Imbalanced and Messy Targets

B24 lessonsPRO

Train fair models when classes are rare or skewed.

  • Why Accuracy Lies on Imbalance
  • Resampling: SMOTE and Undersampling
  • Class Weights and Thresholds
  • +1 more
30

Interpret Models and Communicate Results

B24 lessonsPRO

Explain model decisions and present findings that drive action.

  • Feature Importance and SHAP
  • Partial Dependence Intuition
  • Charts That Persuade Stakeholders
  • +1 more
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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