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Data Science & ML track

EDA

Data profiling, multivariate exploration, leakage hunting and sanity checks.

6 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

EDA Introduction

Concept · Hands-on lab included

2

Univariate Analysis

Concept · Hands-on lab included

3

Bivariate Analysis

Concept · Hands-on lab included

4

Missing Data and Outliers

Concept · Hands-on lab included

5

EDA Workflow

Concept · Hands-on lab included

6

Automating EDA

Concept · Hands-on lab included

Practice

Hands-on labs

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

Browse all labs

First-Pass Audit Sprint

25 min · beginner · EDA Introduction

Profile Every Column

25 min · beginner · Univariate Analysis

Pair Everything

30 min · intermediate · Bivariate Analysis

Classify the Pathologies

30 min · intermediate · Missing Data and Outliers

Continue

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.

0%

Python

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

DevOpsForge - Data Science & ML · EDA
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