This course
Python & R
$1,500
One course from the outline.
Data analysis, statistics and visualisation in Python and R.
Use Python to clean, analyse and visualise data with libraries such as pandas.
Use R for statistical analysis and data visualisation.
Apply basic statistics to spot trends, compare groups and avoid misleading conclusions.
This course feeds the program's Python Data Analysis portfolio piece.
Analyse a public dataset in Python, test a hypothesis and visualise the findings.
Skills shown
This course prepares fellows for this industry certification. Exams are taken with the certifying body, and exam fees are paid separately.
Python Institute
Prepared in
PL-300 is the most widely recognised of the three for data analyst roles. Most fellows take it after finishing the Power BI course.
None. Basic computer skills and comfort with simple maths are enough. No coding background is needed.
Good written and spoken English.
A laptop or desktop computer and a reliable internet connection. A phone or tablet alone is not enough for the tools used. Power BI Desktop runs on Windows, so Mac users need a Windows setup or the online version.
Study from anywhere, on your own schedule, through the FairChild learning portal.
Every course ends with practical work, and the projects build a portfolio employers can review.
Finish in 6 months on the accelerated track or spread the work over 12 months.
Connect with other FairChild fellows working through the same courses.
Pair the program with Guided Mentorship & Career Development, or join through the FairChild Fellowship, for interview preparation and career coaching.
This course
$1,500
One course from the outline.
Full program
$5,000$5,500
All 5 courses, all projects, 6- or 12-month access.
Our mentors aren't just teachers. They're practitioners solving real problems with data every day.