Questions, answered

We are a technology education platform. We run immersive, project-based courses in Data Analytics and QA Automation, provide career services to help graduates get hired, and deliver the same training inside companies that want to upskill their own teams.

Two: Data Analytics, covering SQL, Python and Power BI, and QA Automation, covering Playwright, TypeScript and CI/CD. Both are taught live by practitioners and end in a portfolio project.

Every course is 100% online with live classes. You join real sessions with a teacher and work in small groups, from wherever you are. There is no campus attendance requirement.

No. Most of our students start as complete beginners. Both courses begin with foundations and build from there, and the preparation work brings everyone to the same starting point before day one.

A laptop or desktop you can install software on, a reliable internet connection, and a working microphone. A webcam is recommended for live sessions and group work.

Full-time is roughly 45 hours a week. Part-time is around 20 hours a week and is designed to run alongside a full-time job. Both include live sessions plus independent practice.

Teaching assistants are available throughout the day, sessions are recorded so you can catch up, and you can repeat a module in a later cohort at no extra cost.

Yes. Students who meet the completion requirements receive a Renas Academy certificate of completion. It confirms you completed the program — it is not a university degree or a government licence.

Eight modules covering the full analyst workflow: spreadsheets and analysis foundations, SQL and data modelling, extraction and automation, data visualisation in Power BI, Python with Pandas for analysis, and a capstone project on a real partner dataset.

Around 400 hours of guided practice. That is roughly two months full-time, or six months part-time.

SQL, Python, Power BI, dbt, Pandas and spreadsheets. We teach the tools analysts are hired to use, not toy alternatives.

No. You need to be comfortable with everyday numbers. We teach the statistics you actually need for analysis as part of the Python module.

Most become Data Analysts or BI Analysts. Some move into analytics engineering, and others into operations or product analyst roles. Around 87% report being employed within six months.

Yes. Every module ends in something you can show, and the capstone is a complete analysis built on a real partner dataset and presented to the people who own that data.

Ten modules taking you from IT fundamentals through HTML/CSS, JavaScript and TypeScript, Git, SQL, testing foundations (SDLC, STLC, manual testing, Jira), Playwright, API testing, and CI/CD with Docker and AWS — ending in a month-long capstone.

24 weeks, part-time, at around 20 hours a week. It is built to run alongside a full-time job.

Playwright is what most new automation projects choose: faster, less flaky, with cross-browser support, auto-waiting and tracing built in. The concepts transfer directly if your employer uses Selenium.

Yes, and it is one of the most common backgrounds we see. Your testing instincts are an advantage — the course adds the programming and automation skills that change what you get paid.

No. The first modules build the web and programming foundations, including JavaScript and TypeScript, before you touch Playwright.

A complete automation framework on your GitHub: UI and API suites written in TypeScript, containerised and running in a CI pipeline with reporting. It is the thing interviewers ask about.

QA Automation Engineer, SDET, QA Analyst and Automation Test Lead are the most common. Entry-level roles typically start around $56,000, with mid-level around $90,000.

Complete the online application. It takes about five minutes and asks about your background, goals, availability and preferred program. There is no application fee.

Our admissions team reviews your application and gets in touch within two working days to talk through your goals, answer questions and confirm the right program and cohort for you.

There is no exam. We do have an admissions conversation, which is less an assessment than a chance to make sure the course fits what you actually want and the time you have available.

No. Cohorts are capped so every student gets teacher time, and we only accept students we believe the program genuinely suits. If another program fits you better, we will say so.

Earlier is better. Seats are released a few months ahead and popular cohorts fill up, so applying early gives you the most choice of start dates and formats.

Usually yes. Deferring to a later cohort depends on availability, so talk to admissions as early as you can and we will work out what is possible.

No. Our students range widely in age and arrive from logistics, marketing, finance, support, hospitality and plenty of other fields. Experience outside tech is often the reason a team wants to hire you.

Tuition starts from $2,500 and varies by course and format. Our admissions team will confirm the exact figure for the cohort you are applying to.

Three: pay upfront for our best rate, spread tuition across equal monthly payments, or apply for a need-based scholarship. Employer sponsorship is also common.

No. There is no application fee, no materials fee, and no charge for career services after you graduate.

All live classes and teaching support, lifetime access to the platform and future course updates, project weeks and portfolio reviews, and career services for life.

We offer partial scholarships for career changers and under-represented groups in tech. It is a short written application, reviewed each cohort, and it can be combined with a monthly payment plan.

Yes, and many do. We can invoice your company directly and provide whatever documentation their training budget requires.

Resume and portfolio reviews, LinkedIn guidance, technical and behavioural interview preparation, mock interviews, job-search coaching, networking events and introductions to hiring partners.

Week one, not after you finish. Building your portfolio and positioning happens alongside the technical work rather than being bolted on at the end.

No, and be sceptical of anyone who does. Outcomes depend on your effort, your portfolio, interview performance, location, work authorisation and the market. What we guarantee is the coaching, the network and the support — for as long as you need it.

For life. Coaching and the alumni network stay open whether you are job hunting now or three years from now.

Yes. We maintain relationships with employers and recruiters who hire for data and QA roles, and partners often get early access to graduating cohorts. We will not share your profile with an employer without your agreement.

Career services has tracks for that too — job seeker, career changer, freelancer and upskiller — each with its own coaching focus rather than a single job-hunting template.