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FAANG Preparation Course

What will I learn?

Lift your Business Intelligence career game with our FAANG Preparation Course. Become a boss at using data analysis tools like Python and R, sharpen your data cleaning skills to make sure data is tip-top, and find insights that can actually help achieve business goals. Improve your report writing, data visualisation, and feature analysis. Learn to spot patterns in customer retention and figure out which numbers really matter. This course is straight to the point, good quality, and designed to fit into your busy schedule so you can ace those job interviews at top tech companies.

Apoia's Unique Features

Online and lifetime course access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance your development of the practical skills listed below

Become a master of Python and R for advanced data analysis and statistical computing (kuti urove).

Use data cleaning techniques to make sure your data is spot on and consistent.

Find insights that you can actually use and make sure they line up with what the business wants to achieve.

Write killer data reports and presentations that get the message across.

Use data visualisation tools to create charts and graphs that are easy to understand and informative.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.