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Cohort 1 starts November 20 Live on Zoom Apply now

The programme

3-Month Live Data Analytics Cohort

Build practical data analytics skills through an 3-month live, instructor-led cohort designed to help you move from learning to doing.

First cohort starts November 20  •  Live Online on Zoom  •  12 Weeks

What this programme is

This is a live, instructor-led group programme delivered on Zoom over eight weeks. You will learn the data analytics workflow end to end — from asking the right questions and cleaning data, to analysing it, visualising it and presenting your findings.

Each week builds on the last, and you learn alongside other participants through discussion, exercises and a practical project. Private 1:1 coaching is available as an optional paid add-on for participants who want extra personalized support.

Tools you will use

  • Excel
  • SQL
  • Power BI
  • Tableau
  • Databases

Who it is for

Our team will confirm the entry requirements when you apply. If you are unsure whether the programme suits your level, book a consultation and we will talk it through.

Practical project experience

You practise with exercises throughout the programme, complete a practical analytics project in Week 11, and use Week 12 to prepare portfolio-ready work and present your findings.

Now open for applications

3-Month Live Data Analytics Cohort

Starts
November 20
Delivery
Live Online
Platform
Zoom
Format
Instructor-Led Group Cohort
Duration
12 Weeks
Level
Beginner
Investment $0
Apply Now

No payment is required to apply. We review every application and contact you about next steps.

Curriculum

Week-by-Week: What You'll Experience Over 12 Weeks

Each week is delivered live by your instructor and builds on the last.

Week 1

Foundations of Data Analytics

Get a clear picture of how analytics works and how the rest of the programme fits together.

  • The data analytics workflow from question to insight
  • Types of data and where it comes from
  • Asking useful business questions
  • Setting up your tools

Week 2

Excel for Data Analysis

Use spreadsheets as a serious analysis tool, not just a place to store numbers.

  • Spreadsheet essentials and good structure
  • Formulas and functions for analysis
  • PivotTables and summaries
  • Analysing a business dataset

Week 3

Data Cleaning & Preparation

Learn to prepare messy, real-world data so your analysis can be trusted.

  • Spotting data quality problems
  • Cleaning and standardising fields
  • Handling missing and duplicate values
  • Preparing data for analysis

Week 4

SQL & Working With Databases

Ask questions of data stored in databases using SQL.

  • How relational databases are organised
  • Writing SELECT queries
  • Filtering, sorting and aggregating
  • Combining tables with joins

Week 5

Data Visualization & Storytelling

Turn analysis into visuals and a story your audience can act on.

  • Choosing the right chart
  • Clear, honest visual design
  • Building a narrative around findings
  • Presenting to non-technical audiences

Week 6

Power BI & Business Intelligence

Build interactive reports and dashboards in Power BI.

  • Connecting and shaping data
  • Building reports and dashboards
  • Interactive visuals and filters
  • Sharing insights with others

Week 7

Practical Analytics Project

Apply everything to a practical project with instructor feedback.

  • Defining the question and scope
  • Cleaning, analysing and visualising data
  • Working through the project with feedback
  • Drafting your findings

Week 8

Portfolio, Presentation & Career Preparation

Finish strong: package your work, present it and plan your next steps.

  • Preparing portfolio-ready work
  • Presenting your analytical findings
  • Career preparation guidance
  • Planning your continued learning

Learning outcomes

What You'll Be Able to Do

  • Understand the data analytics workflow
  • Clean and prepare datasets
  • Analyze business data
  • Work with spreadsheets
  • Write SQL queries
  • Build dashboards
  • Create effective visualizations
  • Communicate analytical insights
  • Work on practical projects
  • Build portfolio-ready work
  • Present analytical findings
  • Develop a structured approach to analytics problems

Outcomes depend on your participation and practice. Epsilon Data Consult does not guarantee employment or any specific career result.

Your instructor

Learn With an Experienced Instructor

Isaac Twum, Data Analytics Instructor

Isaac Twum

Data Analytics Instructor

Experienced in transforming complex health data into actionable insights that improve clinical decision-making and enhance healthcare delivery. Adept at leveraging statistical modeling, data visualization, and healthcare IT systems to support data driven solutions in underserved communities. Committed to innovation, collaboration, and advancing public health through evidence-based analytics.

Experienced in transforming complex health data into actionable insights that improve clinical decision-making and enhance healthcare delivery. Adept at leveraging statistical modeling, data visualization, and healthcare IT systems to support data driven solutions in underserved communities. Committed to innovation, collaboration, and advancing public health through evidence-based analytics.
  • Excel
  • SQL
  • Tableau
View LinkedIn profile

FAQ

Questions About the Programme

Yes. The programme is delivered through live instructor-led sessions on Zoom.

12 Weeks.

The first cohort starts on November 20.

No. The primary programme is a live instructor-led group cohort.

Our team will confirm the entry requirements when you apply. If you are unsure whether the programme suits your level, book a consultation and we will talk it through.

The programme covers Excel, SQL, Power BI, Tableau and Databases. The week-by-week curriculum shows what is taught each week.

You practise with exercises throughout the programme, complete a practical analytics project in Week 11, and use Week 12 to prepare portfolio-ready work and present your findings.

No. Private 1:1 coaching is an optional paid add-on.

Yes. You can book a consultation to ask questions before you apply.

Click Apply Now and complete the application form. Our team will review your application and contact you about the next steps.

Payment is the final step of the application. You can pay by the method(s) shown on the payment page, and you will receive a receipt by email once your payment is confirmed. If no fee has been set yet, no payment step is shown.

Ready to Start Your Data Analytics Journey?

The first Epsilon Data Consult Data Analytics cohort begins November 20. If you're ready to learn through live instruction, practical exercises and a structured 12-week programme, take the next step.