DSM
Data AnalysisBeginner

Data Analysis with Pandas

Master DataFrames, data cleaning, exploratory data analysis, and transformation — the daily toolkit of every practising data scientist.

18h estimated22 lessons1765 XP total
0 / 22 lessons0%

Learning journey

01

Section 01

Pandas Core

DataFrames, Series, indexing, filtering, and the core pandas workflow.

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Pandas DataFrames: Your Data's Home
40 mins+75 XP
Start
Series & Index
30 mins+60 XP
Data Selection: loc, iloc & Boolean Masking
35 mins+70 XP
Adding & Modifying Columns
30 mins+60 XP
Handling Missing Data
35 mins+70 XP
Sorting & Ranking
25 mins+50 XP
02

Section 02

Data Cleaning

Diagnose and treat nulls, duplicates, bad types, messy strings, and outliers — the work that makes every downstream analysis trustworthy.

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03

Section 03

Data Transformation

Aggregate with groupby, reshape with pivot and melt, combine with merge, and window over ordered data — the operations that turn raw tables into answers.

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04

Section 04

Exploratory Data Analysis

Run a disciplined, question-driven EDA — univariate, bivariate, and multivariate — and finish with a full report on a real dataset.

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More coming soon

Control Flow, Functions, Data Structures — this track is actively expanding.

Skills you're building

VariablesAhead
Data TypesAhead
Type ConversionAhead
Python ListsAhead
NumPy ArraysAhead
VectorizationAhead

What Python unlocks

📊Pandas — data analysis
🔢NumPy — numerical computing
🤖Scikit-learn — machine learning
🧠TensorFlow / PyTorch — deep learning

Where this leads

Python for Data ScienceNow
↓
Data Analysis with Pandas
↓
Machine Learning

First lesson · 40 mins · +75 XP

Pandas DataFrames: Your Data's Home