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A comprehensive data analytics course for anyone who wants to learn a new profession from scratch. Using real datasets as an example, you will analyze each stage of data analysis and go from data collection and transformation to visualization and conclusions.
During the course, you will gradually master all the relevant data analytics tools and go through the full cycle of data analysis: from collecting information to interpreting results and building hypotheses.
We'll start with the simplest tables in Excel/Google Sheets, understan
Lecturers
Yulia Larionova
- has 5+ years of experience in data analytics, for the last 4.5 years has been working as a Data Analyst at MEGOGO
- at Raiffeisen Bank Aval, she built analytical reports and prepared data for further use in credit scoring models
- at MEGOGO, she calculated ad-hoc analytics for developers, participated in the development of an internal system for analyzing user behavior on web, mobile, and SmartTV platforms of the media service with DAU >1.5 million
- works with >15 TB of data daily and processes >100 million records
- provides full-cycle analytics, conducts in-depth quantitative research of user behavior
Victoria Kirichenko
- has 6+ years of experience working with data, the last 4 of which were in Railsware
- managed data collection from scratch to building a warehouse and created a team that helped all departments of the company with ad-hoc reports
- in Railsware, she developed dashboards for the company's product (Mailtrap), was engaged in financial analytics and automated the P&L report
- works with BigQuery, Python, Google Colab, Google Sheets, Looker Studio, Git, Terraform
- is engaged in consulting, helps external clients to build high-quality analytics
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