Data analytics course

Free scholarships available

Apply by January 16th

The course starts on January 23rd

Curriculum

Average time you will need to dedicate to learning to become work-ready:
15 hours per week: 9 months
30 hours per week: 6 months

1. Core analyst toolkit

Structured approach to data analysis, SQL and databases, Spreadsheets.

2. Main analysis types

Cohorts, retention, funnels, AB tests, CLV, Customer Segmentation, RFM.

3. Analyzing business problems

Product analytics, marketing analytics, monetization analytics, risk analytics, financial analytics.

4. Communicating analysis results

Data Studio, Powerpoint.

5. Advanced analyst toolkit (optional)

Python and data visualisation with Python.

6. Capstone Project

Create a project to have in your portfolio that covers everything that you have learned.

• Comprehensive training in technical skills
• Mock interview led by an HR expert
• Human resource specialist led mock interview
• Endorsement program Learn more
• Salary negotiation support

How admissions work

2 part application process which requires you to first complete an application & then answer video questions.

How to get a scholarship?

Apply and go through an interview. Our scholarship criteria are:

• EU, UK or UA citizens only
• A clear intention to start working full-time as a data professional after the course
• The ability to dedicate at least 20 hours per week to your studies
• Commitment to complete a course first and only then start looking for a job
• Read more here