Build practical programming and technology skills

Data Analysis with Python

Clean, explore, summarize, validate, combine, and communicate findings from structured datasets through reproducible Python workflows.

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PractitionerDifficulty

40 hoursEstimated time

8 modules32 lessons

5 guided labsKnowledge check

Plan your learning

Path Brief

Skills you will practice

Python · Data Analysis Python
Python · Data Analysis Workflow
Python · Tabular Data And Dataframes
Python · Cleaning Missing And Invalid Values
Python · Filtering Grouping And Aggregation
Python · Combining Multiple Datasets

Prerequisites

Python Fundamentals

Tools

A current web browser
A code editor or terminal appropriate to the path
A safe local or virtual lab environment

Before you begin

What you need

Python Fundamentals

Step-by-step curriculum

Learning modules

Complete lessons in order or open the module that matches your current goal. Your lesson progress is saved on this device.

01Data Analysis WorkflowBuild practical skill in data analysis workflow and connect it to the outcomes of Data Analysis with Python.4 lessons · 1 lab

Lesson 1

Data Analysis Workflow: Core Concepts for Data Analysis with Python

Understand the concepts, decisions, and vocabulary you need before applying Data Analysis Workflow in Data Analysis with Python.

25 min

Lesson 2

Set Up and Explore Data Analysis Workflow in Data Analysis with Python

Prepare the tools, data, project state, or test environment needed to explore Data Analysis Workflow safely and repeatably.

25 min

Lesson 3

Build a Practical Data Analysis Workflow Example in Data Analysis with Python

Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

30 min

Lesson 4

Debug Common Data Analysis Workflow Problems in Data Analysis with Python

Recognize common failure modes in Data Analysis Workflow, use the relevant diagnostics, and verify the correction.

25 min

Guided lab · 55 min · Safe

Guided Lab: Data Analysis Workflow in Data Analysis with Python

Data Analysis with Python — Data Analysis Workflow lab: Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

Not started

02Tabular Data and DataFramesBuild practical skill in tabular data and dataframes and connect it to the outcomes of Data Analysis with Python.4 lessons · 1 lab

Lesson 1

Tabular Data and DataFrames: Core Concepts for Data Analysis with Python

Understand the concepts, decisions, and vocabulary you need before applying Tabular Data and DataFrames in Data Analysis with Python.

25 min

Lesson 2

Set Up and Explore Tabular Data and DataFrames in Data Analysis with Python

Prepare the tools, data, project state, or test environment needed to explore Tabular Data and DataFrames safely and repeatably.

25 min

Lesson 3

Build a Practical Tabular Data and DataFrames Example in Data Analysis with Python

Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

30 min

Lesson 4

Debug Common Tabular Data and DataFrames Problems in Data Analysis with Python

Recognize common failure modes in Tabular Data and DataFrames, use the relevant diagnostics, and verify the correction.

25 min

Guided lab · 55 min · Moderate

Guided Lab: Tabular Data and DataFrames in Data Analysis with Python

Data Analysis with Python — Tabular Data and DataFrames lab: Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

Not started

03Cleaning Missing and Invalid ValuesBuild practical skill in cleaning missing and invalid values and connect it to the outcomes of Data Analysis with Python.4 lessons · 1 lab

Lesson 1

Cleaning Missing and Invalid Values: Core Concepts for Data Analysis with Python

Understand the concepts, decisions, and vocabulary you need before applying Cleaning Missing and Invalid Values in Data Analysis with Python.

25 min

Lesson 2

Set Up and Explore Cleaning Missing and Invalid Values in Data Analysis with Python

Prepare the tools, data, project state, or test environment needed to explore Cleaning Missing and Invalid Values safely and repeatably.

25 min

Lesson 3

Build a Practical Cleaning Missing and Invalid Values Example in Data Analysis with Python

Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

30 min

Lesson 4

Debug Common Cleaning Missing and Invalid Values Problems in Data Analysis with Python

Recognize common failure modes in Cleaning Missing and Invalid Values, use the relevant diagnostics, and verify the correction.

25 min

Guided lab · 55 min · Moderate

Guided Lab: Cleaning Missing and Invalid Values in Data Analysis with Python

Data Analysis with Python — Cleaning Missing and Invalid Values lab: Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

Not started

04Filtering, Grouping, and AggregationBuild practical skill in filtering, grouping, and aggregation and connect it to the outcomes of Data Analysis with Python.4 lessons · 1 lab

Lesson 1

Filtering, Grouping, and Aggregation: Core Concepts for Data Analysis with Python

Understand the concepts, decisions, and vocabulary you need before applying Filtering, Grouping, and Aggregation in Data Analysis with Python.

25 min

Lesson 2

Set Up and Explore Filtering, Grouping, and Aggregation in Data Analysis with Python

Prepare the tools, data, project state, or test environment needed to explore Filtering, Grouping, and Aggregation safely and repeatably.

25 min

Lesson 3

Build a Practical Filtering, Grouping, and Aggregation Example in Data Analysis with Python

Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

30 min

Lesson 4

Debug Common Filtering, Grouping, and Aggregation Problems in Data Analysis with Python

Recognize common failure modes in Filtering, Grouping, and Aggregation, use the relevant diagnostics, and verify the correction.

25 min

Guided lab · 55 min · Moderate

Guided Lab: Filtering, Grouping, and Aggregation in Data Analysis with Python

Data Analysis with Python — Filtering, Grouping, and Aggregation lab: Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

Not started

05Combining Multiple DatasetsBuild practical skill in combining multiple datasets and connect it to the outcomes of Data Analysis with Python.4 lessons · 1 lab

Lesson 1

Combining Multiple Datasets: Core Concepts for Data Analysis with Python

Understand the concepts, decisions, and vocabulary you need before applying Combining Multiple Datasets in Data Analysis with Python.

25 min

Lesson 2

Set Up and Explore Combining Multiple Datasets in Data Analysis with Python

Prepare the tools, data, project state, or test environment needed to explore Combining Multiple Datasets safely and repeatably.

25 min

Lesson 3

Build a Practical Combining Multiple Datasets Example in Data Analysis with Python

Store a small dataset in an appropriate collection, update it, search it, and explain why the chosen structure fits.

30 min

Lesson 4

Debug Common Combining Multiple Datasets Problems in Data Analysis with Python

Recognize common failure modes in Combining Multiple Datasets, use the relevant diagnostics, and verify the correction.

25 min

Guided lab · 55 min · Moderate

Guided Lab: Combining Multiple Datasets in Data Analysis with Python

Data Analysis with Python — Combining Multiple Datasets lab: Store a small dataset in an appropriate collection, update it, search it, and explain why the chosen structure fits.

Not started

06Time-Series and Categorical DataBuild practical skill in time-series and categorical data and connect it to the outcomes of Data Analysis with Python.4 lessons

Lesson 1

Time-Series and Categorical Data: Core Concepts for Data Analysis with Python

Understand the concepts, decisions, and vocabulary you need before applying Time-Series and Categorical Data in Data Analysis with Python.

25 min

Lesson 2

Set Up and Explore Time-Series and Categorical Data in Data Analysis with Python

Prepare the tools, data, project state, or test environment needed to explore Time-Series and Categorical Data safely and repeatably.

25 min

Lesson 3

Build a Practical Time-Series and Categorical Data Example in Data Analysis with Python

Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

30 min

Lesson 4

Debug Common Time-Series and Categorical Data Problems in Data Analysis with Python

Recognize common failure modes in Time-Series and Categorical Data, use the relevant diagnostics, and verify the correction.

25 min

07Exploratory Analysis and ValidationBuild practical skill in exploratory analysis and validation and connect it to the outcomes of Data Analysis with Python.4 lessons

Lesson 1

Exploratory Analysis and Validation: Core Concepts for Data Analysis with Python

Understand the concepts, decisions, and vocabulary you need before applying Exploratory Analysis and Validation in Data Analysis with Python.

25 min

Lesson 2

Set Up and Explore Exploratory Analysis and Validation in Data Analysis with Python

Prepare the tools, data, project state, or test environment needed to explore Exploratory Analysis and Validation safely and repeatably.

25 min

Lesson 3

Build a Practical Exploratory Analysis and Validation Example in Data Analysis with Python

Build a form or request validator with valid, missing, malformed, and boundary inputs.

30 min

Lesson 4

Debug Common Exploratory Analysis and Validation Problems in Data Analysis with Python

Recognize common failure modes in Exploratory Analysis and Validation, use the relevant diagnostics, and verify the correction.

25 min

08Reproducible ReportsBuild practical skill in reproducible reports and connect it to the outcomes of Data Analysis with Python.4 lessons

Lesson 1

Reproducible Reports: Core Concepts for Data Analysis with Python

Understand the concepts, decisions, and vocabulary you need before applying Reproducible Reports in Data Analysis with Python.

25 min

Lesson 2

Set Up and Explore Reproducible Reports in Data Analysis with Python

Prepare the tools, data, project state, or test environment needed to explore Reproducible Reports safely and repeatably.

25 min

Lesson 3

Build a Practical Reproducible Reports Example in Data Analysis with Python

Analyze a small CSV dataset from load through a grouped summary and save the cleaned result or report.

30 min

Lesson 4

Debug Common Reproducible Reports Problems in Data Analysis with Python

Recognize common failure modes in Reproducible Reports, use the relevant diagnostics, and verify the correction.

25 min

Portfolio integration

Capstone Project

Analyze and Report on a Business Operations Dataset

Combine the path skills in a portfolio-ready project with clear functional requirements, tests, verification evidence, and operating notes.

GuidedIndependentPortfolio

Acceptance criteria

The core workflow works from start to finish.
Invalid input or failure states are handled clearly.
The result is tested and documented.
A reviewer can reproduce the setup and verification.

Continue in Programming

Related Programming

Skill assessment

Data Analysis with Python

Path Brief

Skills you will practice

Prerequisites

Tools

What you need

Learning modules

Data Analysis Workflow: Core Concepts for Data Analysis with Python

Set Up and Explore Data Analysis Workflow in Data Analysis with Python

Build a Practical Data Analysis Workflow Example in Data Analysis with Python

Debug Common Data Analysis Workflow Problems in Data Analysis with Python

Guided Lab: Data Analysis Workflow in Data Analysis with Python

Tabular Data and DataFrames: Core Concepts for Data Analysis with Python

Set Up and Explore Tabular Data and DataFrames in Data Analysis with Python

Build a Practical Tabular Data and DataFrames Example in Data Analysis with Python

Debug Common Tabular Data and DataFrames Problems in Data Analysis with Python

Guided Lab: Tabular Data and DataFrames in Data Analysis with Python

Cleaning Missing and Invalid Values: Core Concepts for Data Analysis with Python

Set Up and Explore Cleaning Missing and Invalid Values in Data Analysis with Python

Build a Practical Cleaning Missing and Invalid Values Example in Data Analysis with Python

Debug Common Cleaning Missing and Invalid Values Problems in Data Analysis with Python

Guided Lab: Cleaning Missing and Invalid Values in Data Analysis with Python

Filtering, Grouping, and Aggregation: Core Concepts for Data Analysis with Python

Set Up and Explore Filtering, Grouping, and Aggregation in Data Analysis with Python

Build a Practical Filtering, Grouping, and Aggregation Example in Data Analysis with Python

Debug Common Filtering, Grouping, and Aggregation Problems in Data Analysis with Python

Guided Lab: Filtering, Grouping, and Aggregation in Data Analysis with Python

Combining Multiple Datasets: Core Concepts for Data Analysis with Python

Set Up and Explore Combining Multiple Datasets in Data Analysis with Python

Build a Practical Combining Multiple Datasets Example in Data Analysis with Python

Debug Common Combining Multiple Datasets Problems in Data Analysis with Python

Guided Lab: Combining Multiple Datasets in Data Analysis with Python

Time-Series and Categorical Data: Core Concepts for Data Analysis with Python

Set Up and Explore Time-Series and Categorical Data in Data Analysis with Python

Build a Practical Time-Series and Categorical Data Example in Data Analysis with Python

Debug Common Time-Series and Categorical Data Problems in Data Analysis with Python

Exploratory Analysis and Validation: Core Concepts for Data Analysis with Python

Set Up and Explore Exploratory Analysis and Validation in Data Analysis with Python

Build a Practical Exploratory Analysis and Validation Example in Data Analysis with Python

Debug Common Exploratory Analysis and Validation Problems in Data Analysis with Python

Reproducible Reports: Core Concepts for Data Analysis with Python

Set Up and Explore Reproducible Reports in Data Analysis with Python

Build a Practical Reproducible Reports Example in Data Analysis with Python

Debug Common Reproducible Reports Problems in Data Analysis with Python

Capstone Project

Analyze and Report on a Business Operations Dataset

Acceptance criteria

Test your understanding

Related Programming

Check your starting point

Plan the capstone

Explore related paths