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Self-pacedData & Analytics

Understand data analytics functions

Apply foundational data analysis concepts to interpret data and generate meaningful insights for business decision-making.

~16 hours7 modulesIntermediate
Custom pricing for your team's size — get a quote in 24 hours
At a glancePart of a 9-course program
Total learning~16 hrs
Modules7
LevelIntermediate
FormatSelf-paced online
Get pricing for your team

Typical quote turnaround: 24 hours

Team reviewing business data together
Course overview

Turn raw data into business decisions

Your team learns the core analytics workflow — understanding, cleaning, and exploring data, then visualizing it and translating findings into decisions the business can act on.

Data types & structures Data cleaning Statistics Exploratory analysis Data visualization
By the end of this course

Skills your team applies on the job

Categorize data types & structures
Clean & prepare data for analysis
Apply basic statistical concepts
Perform exploratory data analysis
Build clear, effective visualizations
Turn insights into decisions
Curriculum

Modules in this course

Seven modules take your team through the full data analysis process — from understanding data to presenting decisions.

One of 9 courses in the
Data Analytics Professional Certificate
View program
Module list7 modules · ~16 hours
01
Understand data types and structures
Describe and categorize various data types and structures to enable effective data organization.
~2 hrs
~2 hrs
02
Clean and prepare data for analysis
Apply data cleaning and preparation techniques to handle missing values, remove inconsistencies, and standardize data for quality analysis.
~2.5 hrs
~2.5 hrs
03
Apply basic statistical concepts
Calculate and interpret measures of central tendency and variability to summarize key features of a dataset.
~2.5 hrs
~2.5 hrs
04
Perform exploratory data analysis (EDA)
Conduct exploratory data analysis using summary statistics and visualizations to identify patterns, trends, and outliers.
~2.75 hrs
~2.75 hrs
05
Introduce data visualization principles
Apply principles of effective data visualization to create and evaluate clear and informative charts.
~2.5 hrs
~2.5 hrs
06
Apply data insights to decision-making
Integrate data findings to create actionable business insights and recommendations to support effective decision-making.
~2.75 hrs
~2.75 hrs
07
Course assessment and reflectionHuman-graded
Demonstrate mastery of the data analysis process by completing a comprehensive project that transforms a raw dataset into a final recommendation.
Project
Project
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.

Analyst reviewing data on a laptop
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 to reskill employees in semi-technical or data-adjacent roles into confident analysts. It's an intermediate course within the Data Analytics Professional Certificate.

Great fit for roles like
IT Support SpecialistCustomer Success AssociateOther semi-technical roles
No coding experience required
No degree 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.

~16
hours of learning
Guided, hands-on training per learner in this course.
7
modules
From understanding data to presenting decisions.
5–10
hours per week
A sustainable pace — roughly 2–3 weeks to finish.
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 program
Talk to our team
Part of a program

Data Analytics Professional Certificate

This is one of 9 courses in the full pathway — from data foundations through Python, visualization, and data governance to a job-ready analyst.

9 courses63 modules~146 hrs6–8 months
View full programGet 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

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