Renas AcademyA community that lasts
You join a cohort learning the same thing at the same time — and a network of alumni who have already done it. Both stay with you after graduation.
Data Analytics Course
Master data with the Renas Academy Data Analytics course
Learn SQL, Python and Power BI in as little as two months. Build a portfolio on real datasets, with live teaching and career support that starts on day one.
from 1,000+ students enrolled
- Duration400 hours · 2 to 6 months
- Format100% online, live classes
- LevelBeginner friendly
Tools you'll use
SQLPythonPower BIdbtPandasSheets
Wherever you're starting from
Most of our students have never written a line of code. What they share is a reason to learn.
Solve a personal challenge
Learn data skills to make sense of a project, a hobby or a side business you already care about.
Ship a specific project
Arrive with a dataset or an idea and leave with a working analysis or a dashboard people use.
Change careers
Build the fundamentals and the portfolio you need to land a first role in data.
Grow in your current job
Bring data fluency back to your team and stop waiting on someone else for every number.
Eight modules, one portfolio
Around 400 hours of project-based learning, from your very first query to a capstone you can show an employer.
Preparation work
Before the course starts you work through guided tutorials at your own pace, so everyone arrives on the same footing.
What you'll be able to do
- Write your first Python script
- Read and edit a simple SQL query
- Structure data in a spreadsheet
Foundations of analysis
The analyst workflow end to end: framing a question, finding the data, cleaning it, and defending the answer.
What you'll be able to do
- Clean a messy dataset
- Choose the right metric
- Present a finding clearly
SQL and data modelling
Query relational databases with confidence, from simple filters to window functions and multi-table joins.
What you'll be able to do
- Join across many tables
- Use window functions
- Model a star schema
Extraction and automation
Get data out of the tools your business already uses, and stop repeating the same manual export every week.
What you'll be able to do
- Pull data from an API
- Schedule a recurring job
- Build a small ELT pipeline
Data visualisation
Turn an analysis into something a stakeholder can read in ten seconds — and trust enough to act on.
What you'll be able to do
- Design a dashboard
- Pick honest chart types
- Publish for a live audience
Python for analytics
Move past the limits of spreadsheets: explore, reshape and model data with the Python data stack.
What you'll be able to do
- Analyse data with Pandas
- Run a statistical test
- Automate a report
Capstone project weeks
Two weeks on a real partner dataset, in a small team, ending in a presentation to the people who own the data.
What you'll be able to do
- Scope a real problem
- Work in a data team
- Present to stakeholders
Career services
Runs alongside the course and continues after it: portfolio reviews, mock interviews and introductions.
What you'll be able to do
- Build a portfolio
- Practise interviews
- Meet hiring partners
What happens after the course
Where our data analytics graduates land, based on the roles they report back to us.
87%employed within 6 months of graduating
400hof hands-on practice across the course
3portfolio projects built on real data
Roles graduates move into
- Data Analyst46%
- BI Analyst24%
- Analytics Engineer16%
- Ops / Product Analyst14%
Four ways to pay for the course
Pick the route that fits your situation — we will help you work out which one applies.
- Pay in full before the course starts, with an early-bird discount
- Split tuition into monthly instalments while you study
- Pay per module as you progress through the course
- Employer sponsorship, if your company covers professional training
What is available depends on where you live and how you work. Our admissions team goes through the options with you before you commit to anything.
Course tuitionStarts from$2,500
Covers all 400 hours of teaching, the platform, project weeks and lifetime career services. No hidden materials fee.
Talk about financingInstalment plans start at $420/month.
Pick a date that works for you
Cohorts are capped so every student gets teacher time. Seats are released a few months ahead.
Common questions
The things people ask us most often before they apply.
Do I need coding experience?
No. Most students start with none at all. The preparation work covers the basics before the course begins, so everyone arrives ready for day one.
How much time should I plan for each week?
Full-time is roughly 45 hours a week for two months. Part-time is around 20 hours a week across six months, built to fit alongside a job.
Is the course fully online?
Yes. Every course runs online with live classes — you join real sessions with a teacher and work in small groups, from wherever you are.
What if I fall behind?
Teaching assistants are available throughout the day, sessions are recorded, and you can repeat a module in a later cohort at no cost.
What happens after graduation?
You keep lifetime access to the course material, the alumni network and career services — including future updates to the curriculum.
Why Renas Academy
Learning designed to stick
The things students tell us made the difference, in their words as much as ours.
Flexible formats
Full-time in two months, or part-time over six while you keep working. Fully online either way, with the same curriculum and teachers.
Portfolio-ready projects
Every module ends in something you can show. You graduate with work built on real datasets, not tutorial exercises.
Career coaching built in
Coaching starts in week one, not after you finish: portfolio reviews, mock interviews and warm introductions.
A platform built for learning
Track progress, replay any lesson, and keep access to every update we ship to the course — for life, at no extra cost.
Alumni
What graduates say
“I went from spreadsheets to building the dashboards our whole team now runs on. The projects felt real from the first week.”
“The SQL and Python modules alone paid for the course. Career coaching made the job search far less lonely than I expected.”
“Coming from marketing, I was sure I was not technical enough. Eight weeks later I was the one leading our reporting.”