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Data Science & ML track

Pandas

DataFrames, reshaping, groupby, joins and ML-ready feature matrices.

8 concepts4 labs1 challenges
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Concepts

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Work through the concepts in order, or jump to what you need.

1

Pandas Introduction

Concept · Hands-on lab included

2

Reading and Writing Data

Concept · Hands-on lab included

3

Indexing and Selection

Concept · Hands-on lab included

4

Data Cleaning

Concept · Hands-on lab included

5

GroupBy and Aggregation

Concept · Hands-on lab included

6

Merging and Joining

Concept · Hands-on lab included

7

Time Series in Pandas

Concept · Hands-on lab included

8

Applying Functions and Vectorization

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

Browse all labs

Load, Type, Round-Trip

30 min · beginner · Reading and Writing Data

Selection Championship

25 min · intermediate · Indexing and Selection

Clean a Real-Smelling Messy CSV

30 min · intermediate · Data Cleaning

GroupBy to ANSWERS

30 min · intermediate · GroupBy and Aggregation

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Next modules

Keep your learning streak going with related modules.

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Mathematics

Linear algebra, calculus and notation needed for machine learning.

0%

Statistics

Distributions, estimators, hypothesis testing and statistical inference.

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Python

Scientific Python stack: environments, typing, numpy-style thinking.

DevOpsForge - Data Science & ML · Pandas
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