Overview of the Program
Data Science is one of the most on-demand career pathways today. Companies require Data Scientists to not only conduct the usual business intelligence. Our program focuses on Python and SQL and equips you with all the fundamental skills to launch your career in Data Science.
With more data collected by companies today than over collected, every business, regardless of industry, requires professionals who can analyse data, draw useful insights (Data Analysts), build machine learning models to make predictions (Machine Learning Engineers), and structure data pipelines that collect data and preprocess it before storing or serving it automatically to ready-made data models (Data Engineers).
Data Science Foundations
For students looking to learn Data Science foundations only and kickstart their learning or vet if this is the pathway for them. [FREE]
Data Science Core
Learn everything from the foundations to the advanced concepts and set yourself up for all possible careers in Data Science.
The Data Science Curriculum
Curated from our in-depth research of the most on-demand skills in the job market, our curriculum is broken down into 5-week-long modules with the first module offered as a free prerequisite to the core program:
Data Science Foundations [FREE Pre-Bootcamp]
Learn the fundamentals of Python Programming for Data Science and how to work with and query relational databases with SQL. Bonus Content: Advanced Microsoft Excel.
Python Data Analysis
Learn Python data analysis libraries – Numpy and Pandas. Learn data visualisation with Matplotlib, Seaborn and Plotly.
General Data Analysis
Learn data analysis with SQL queries and relational databases. Learn essential data tools such as Microsoft Excel and Tableau.
Machine Learning I
Learn the foundations of ML, data preparation, supervised learning models (regression and classification), and model evaluation with Scikit Learn.
Machine Learning II
Learn the unsupervised learning models (dimensionality reduction and clustering), time series analysis, deep learning foundations with Scikit Learn, Scipy, and Stat Models.
Big Data Engineering
Learn how to handle big data with Apache Hadoop, Spark, and Kafka. Learn how to use Docker, Kubernetes, and data warehousing tools e.g. Snowflake.
Our programs are intensive, part-time and entirely virtual to allow anyone to upskill into tech regardless of their current engagements, location, or previous educational background. Here is how it works:
We offer the best financing plans to fit students from all economic backgrounds. We also have a 50% money-back guarantee for students if you do not get a job within 12 months of program completion.
Pay for the program in full on enrolment. 20% cheaper than flexible payments.
Pay in 5 instalments for every 5-week module in our 25-week core program (5 modules).
DEFER50% into an
Pay 50% of the program upfront or instalments. Defer the rest into an income-share.
Our admissions process is straightforward and runs concurrently as a student takes the FREE Foundations course: