Master Python, SQL, R and Looker Studio, then go on to machine learning and deploy real models. Live mentorship, portfolio projects and a written placement guarantee.
Every business now runs on data, but very few people can collect it, clean it, analyse it and explain it clearly. This program trains you to do all four, starting with Python, SQL and R, moving through dashboards in Looker Studio, Power BI and Tableau, and finishing with machine learning models that you deploy yourself.
You learn by building. Every module ends with a hands-on lab in our cloud sandbox, and each phase feeds a portfolio project that hiring managers can open and review. You don't need a high-end laptop or prior coding experience, because bridge modules cover programming and maths fundamentals first.
From the core languages to production deployment. Filter by area to explore what you'll learn.
The most widely used language in data science. Learn to write clean code and analyse data with the libraries every employer expects.
Pull exactly the data you need from relational databases. It's the daily task behind almost every analytics role.
A statistics-first language common in research, healthcare and finance, with excellent tools for analysis and publication-quality charts.
Real data is messy. Learn to clean, reshape and explore it so your models and dashboards stand on solid ground.
Google's free dashboard tool. Connect Sheets, BigQuery and databases, then publish interactive reports that anyone can open from a link.
Still the most common analyst tool. Go beyond formulas to automated, decision-ready workbooks.
Build enterprise-grade BI dashboards in the two tools most often listed in analytics job descriptions.
Choose the right chart and tell the story behind the numbers so stakeholders actually act on them.
The maths that makes conclusions trustworthy, taught with code rather than just formulas.
Build predictive models end to end, from feature engineering through evaluation and tuning.
Neural networks for images and text, including how modern transformer models work.
Forecast sales, demand and traffic with the methods businesses use for planning.
Process datasets that are too big for a single machine using distributed computing.
Store, query and run data workloads in the cloud the way companies actually do.
Take a model from a notebook to a live API with versioning and monitoring.
Modules are sequenced so each one builds on the last. Nothing assumes knowledge you haven't learned yet.
Everything runs in our cloud sandbox, so there's nothing complicated to install.
Each project mirrors a real business problem and is reviewed by an industry mentor before it goes on your GitHub.
Predict which telecom customers are about to leave and rank the factors driving churn.
Query a sales database with SQL and publish an interactive Looker Studio report for a leadership team.
Forecast weekly demand across stores to support inventory planning.
Classify thousands of reviews and surface what customers love and what they complain about.
Package your best model as an API with Docker and deploy it to the cloud.
The skills you build map directly to the job titles employers are hiring for.
Turn business questions into SQL queries, dashboards and clear recommendations.
Build and validate predictive models that solve measurable business problems.
Train, deploy and monitor models inside production systems.
Design dashboards and data models in Looker Studio, Power BI and Tableau.
Bridge business teams and data with strong Excel, SQL and storytelling skills.
Build the pipelines and warehouse tables that analytics teams rely on.
Our alumni work at Amazon, Microsoft, Deloitte, PwC, Cognizant and Tata Consultancy Services. Read their stories →
Quick answers to what learners ask most before enrolling.
No. Python is taught from the first week, and bridge modules cover programming and maths basics. Many of our learners come from non-technical backgrounds.
Python is our primary language and covers most data roles. R is taught alongside it because it's strong for statistical analysis and reporting, and it's still common in research, healthcare and finance. You'll learn when each one is the better choice.
Looker Studio, formerly known as Google Data Studio, is Google's free tool for building interactive dashboards and reports. It connects to Google Sheets, BigQuery, databases and many other sources, and finished reports can be shared with a simple link.
Data Science builds your analytics and machine learning foundation. The Generative AI program focuses on building applications with large language models. Many learners start with Data Science and add Generative AI afterwards.
Yes. Data Science is covered by our written Placement Guarantee Agreement: a 180-day placement window, a minimum of 5 guaranteed interviews, and a 100% tuition refund if you meet the milestones and no offer arrives. Read the full terms on the Placement Guarantee page.
Sessions are live and online, led by industry practitioners. Every lecture is also recorded in HD and available on your student portal with lifetime access.
