Introduction to Python
Learn the fundamentals of data analysis in Python. Learn scientific computing with numpy to broaden your skill set.
4 h
Introduction to R
Learn the fundamentals of data analysis by experimenting with common data structures such as vectors, matrices, and data frames.
4 h
Introduction to SQL
Learn the fundamentals of querying tables in relational databases like MySQL, SQL Server, and PostgreSQL.
4 h
Intermediate Python
Improve your data science skills by using Matplotlib to create visualisations and pandas to manipulate DataFrames.
4 h
Intermediate R
Continue your R ninja journey by learning about conditional statements, loops, and vector functions.
6 h
Python Data Science Toolbox : Part 1
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
3 h
Supervised Learning with scikit-learn
Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.
4 h
Understanding Data Engineering
Discover how data engineers lay the framework for data science. No coding required!
2 h
Data Engineering for Everyone
Learn how data engineers lay the groundwork for data science to be possible. There is no coding required!
2 h
Joining Data in SQL
Join two or three tables into one, use set theory to combine tables, and work with subqueries in PostgreSQL.
5 h
Introduction to Data Science in Python
Dive into data science using Python and learn how to effectively analyze and visualize your data.
4 h
Introduction to the Tidyverse
Start exploring and visualising your own data with the tidyverse, a powerful and popular collection of R data science tools.
4 h
Subjects
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