This track gets progressively more challenging and we recommend completing the tasks and training in the order below.
Learn at your own pace
Get hands-on experience
Practice and apply your skills
Data Analyst Learning Track
1
Data Analyst | 1 Python Introduction
About this course
This track provides an introduction to Python for data analysis, and is the starting point for those interested in focusing on Python. No prerequisite knowledge is expected.
This is a continuation of the Year 1 Python for data analysis track. Building upon concepts from the previous track, the focus of this track is on data wrangling, data cleaning, and statistics.
This track is a continuation of the SQL Fundamentals track, and is appropriate for anyone looking to further develop their SQL skills. It is part of both Routes I and II.
Data Analyst | 4 Machine Learning and Geospatial Data with Python
About this course
This track introduces machine learning with Python and includes courses on how to work with geospatial data. Prior experience programming in Python is expected, as well as a foundational knowledge of statistical concepts, equivalent to having completed the "Year 2: Python for Data Analysis" track.
Data Analyst | 5 Machine Learning with Python (Intermediate)
About this course
This track focuses on intermediate-level topics in machine learning, and is designed to be a continuation of the Year 4: Machine Learning Fundamentals with Python track.
Data Analyst | 7 – Introduction to Deep Learning and Computer Vision in Python
About this course
The focus of this track is on helping you strengthen your Python skills by working on a variety of different projects. You'll also learn about deep learning and how to work with image and text data.