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Self-pacedData Analytics

Part of Data Analytics Professional Certificate

Use Python for data cleaning and exploration

Apply Python data analysis libraries to prepare datasets for advanced analysis.

~17.1 hours7 modulesIntermediate

Custom pricing for your team's size — get a quote in 24 hours

At a glancePart of Data Analytics Professional Certificate

Total learning~17.1 hrs

Modules7

LevelIntermediate

FormatSelf-paced online

Get pricing for your team

Typical quote turnaround: 24 hours

Course overview

Apply Python data analysis libraries to prepare datasets for advanced analysis

Apply Python data analysis libraries to prepare datasets for advanced analysis. Across 7 hands-on modules, your team works through import & export data, practice data transformation &, data visualization for insights and more.

Import & Export Data Practice Data Transformation & Data Visualization for Insights Exploratory Data Analysis Basics Handle Missing & Inconsistent

By the end of this course

Skills your team applies on the job

Import and Export Data Efficiently

Practice Data Transformation and Manipulation in Python

Explore Data Visualization for Insights

Explore Exploratory Data Analysis Basics

Handle Missing and Inconsistent Data

Learn Python for Data Analysis Basics

Curriculum

Modules in this course

7 modules take your team through the full process from start to finish.

One course in the

Data Analytics Professional Certificate

View program

Module list7 modules · ~17.1 hours

Reflect on Course Assessment and LearningHuman-graded

Complete a practical project that demonstrates the end-to-end process of cleaning, transforming, and exploring a dataset using Python.

~0.08 hrs

Import and Export Data Efficiently

Apply Python methods to import data from various file formats and export cleaned datasets.

~2.58 hrs

Practice Data Transformation and Manipulation in Python

Perform data transformation operations to reshape and prepare datasets for exploratory analysis.

~3.58 hrs

Explore Data Visualization for Insights

Create and customize data visualizations using Python libraries to communicate data insights effectively.

~2.83 hrs

Explore Exploratory Data Analysis Basics

Conduct exploratory data analysis by applying descriptive statistics and visualizations to uncover initial insights.

~2.83 hrs

Handle Missing and Inconsistent Data

Correct missing and inconsistent data in a dataset using pandas.

~2.58 hrs

Learn Python for Data Analysis Basics

Apply fundamental Python syntax and data structures to write simple scripts for data operations.

~2.58 hrs

How the course works

Learn by doing, in real tools

Every module blends short video lessons, readings, and hands-on exercises — then applied projects prove the skill and assessments confirm mastery.

Learn · video & readings

Practice · hands-on

Apply · real projects

Assess · role checks

How work is graded

Practice is auto-checked

Instant right/wrong feedback as learners go.

Projects are human-graded

Reviewed by instructors with written feedback.

Assessed against the role

Live assessments confirm real job readiness.

Who this is for

Built for the people already on your team

Designed for employees ready to move into a new role — no specialist background needed, the basics are covered along the way. It's an intermediate course within Data Analytics Professional Certificate. Great fit for roles like IT Support Specialist / Customer Success Associate currently in a semi-technical or adjacent role.

Great fit for roles like

IT Support Specialist / Customer Success Associate currently in a semi-technical or adjacent role

No prior experience required

Time commitment

A focused course, on your team's schedule

Fully self-paced — learners fit study around their working week and move at a pace that fits the team.

~17.1

hours of learning

Guided, hands-on training per learner in this course.

modules

From start to finish.

5-10

hours per week

A sustainable pace, flexible by learner.

A mentor supporting a learner at a laptop

What sets it apart

Real human support — not just videos

Where most online learning leaves people to figure it out alone, live help is woven through every module. That's what drives completion, not just enrollment.

Tutoring— On-demand subject help the moment a learner gets stuck.

Live assessment— Skills checked against real role expectations, not just quizzes.

Human-graded work— Projects reviewed by people, with actionable feedback.

Coaching— An academic coach keeps each learner on pace to finish.

Get team pricing

Custom pricing, built around your team

Pricing depends on your team size and enterprise needs — so the fastest way to an accurate number is a quick conversation. Tell us a little about your team and we'll send a tailored quote.

Get a quote in 24 hours — no lengthy sales process

Volume pricing that scales with your team's size

Take this course on its own or the full Data Analytics Professional Certificate

Talk to our team

Part of a program

Data Analytics Professional Certificate

This is one of 4 courses in the full pathway.

4 courses63 modules~146.3 hrs6–7 months

View full program Get team pricing

Questions

Frequently asked

Pricing is customized to your team's size and rollout needs, so we quote per organization rather than list a single price. Request a quote and we'll send an accurate number within 24 hours.

Get pricing for your team

Ready to turn skills challenges into skills opportunities?

Talk to our team Browse programs

Use Python for data cleaning and exploration

Apply Python data analysis libraries to prepare datasets for advanced analysis

Skills your team applies on the job

Modules in this course

Learn by doing, in real tools

Built for the people already on your team

A focused course, on your team's schedule

Real human support — not just videos

Custom pricing, built around your team

Data Analytics Professional Certificate

Frequently asked

Ready to turn skills challenges into skills opportunities?

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