Profession Product Analyst - free course from Skillbox, training, Date: November 29, 2023.
Miscellaneous / / December 03, 2023
Russian Internet company in the field of online education, founded in 2016. The controlling stake in Skilbox LLC belongs to VK. The company is considered the leader in the Russian professional online training market. It is also a leader in training for jobs related to the digital economy and online advertising.
Skillbox is a Russian company that specializes in online education. Skillbox calls itself an online university for in-demand skills.
The educational programs of the service are focused on four main areas:
- design;
- programming;
- marketing;
- control.
On the platform you can gain knowledge on current topics and in-demand skills. All courses are aimed at practice: we monitor the relevance of the material and help with employment and internships.
The Skillbox educational platform was launched in 2016. The company was founded by Igor Koropov (1989-2020) and Dmitry Krutov. Later they were joined by Andrey Anishchenko and Sergey Popkov. The general director of the company since its founding has been Dmitry Krutov. Skillbox received the Runet Prize twice: in 2018 in the Education and Personnel category, and in 2019 in the Technology and Innovation category.
In February 2019 Mail. Ru Group acquired 3% of the company, then increased the stake to 10.33% in March, and finally to 60.33% in December of the same year. According to the Mail's annual report. Ru Group, a controlling stake in the company cost it 1.6 billion rubles.
In November 2019, RBC included the company in the rating of the 35 largest EdTech companies in Russia, placing Skillbox in 6th place. In 2020, in the ranking of the top 10 largest EdTech companies compiled by RBC, Skillbox moved to 2nd place.
In October 2020 Mail. Ru Group increased its stake in the company to 70%. In November 2020, the co-founder of the platform, Igor Koropov, died in Sochi.
Learn to work with basic web analytics systems at an advanced level, collect data and conduct A/B tests. Learn how to analyze user behavior, website performance and traffic. You will be able to build a system of metrics for the product and increase the return on advertising.
Explore how users interact with products and what challenges they encounter. Learn to analyze data and build hypotheses to improve the product. You will understand how to adapt a product to the target audience and retain customers.
End-to-end analytics
Learn to combine data from different systems into a single infrastructure that stores all information about the client, order and product. Learn how to solve business unit problems using the R language and data warehouse. You will be able to collect data from different systems and find insights for product development.
- Introductory block.
- Analytics of product range.
- Customer base analytics.
- Delivery and last mile.
- User experience.
- Retention-marketing.
- Pop-pops and recommender systems.
- Website and mobile application analytics.
- Call tracking.
- Advertising expenses.
- Period assessment.
- P&L.
Additional courses
Mobile Application Analyst
Learn how to collect data on the behavior of mobile application users. Learn to evaluate the effectiveness of advertising channels, track revenue and attract audiences. Set up analytics on a real application, improve monetization and conversion rates.
- Introduction to mobile analytics.
- Reports, metrics and skills in mobile analytics.
- Firebase.
- Firebase: implementation.
- Google Tag Manager for mobile applications.
- Google Analytics for mobile applications.
- AppMetrica.
- Analysis of the effectiveness of advertising channels.
- Connecting advertising accounts.
- Setting up Adjust.
- Setting up Adjust: retargeting and additional reports.
- Amplitude: basic reports.
- Setting up Amplitude.
- Summarizing.
Business Intelligence Fundamentals and Practice
Learn how to create data warehouses in Linux and design databases in SQL. Master Python for analytics and learn how to work with tables at an advanced level. You will be able to solve business problems using analytics, clean data, store it correctly and visualize it.
- Data warehouse foundation.
- Let's create the first database.
- Scripts for data analysis.
- Python: the minimum to get started.
- Python: How to create tables.
- Python: cleaning data before analysis.
- Python: How to show changes over time.
- Python: Advanced table building.
- Methods for collecting external data.
- Filling the storage with data.
- Analytics and business tasks.
- Tableau: Interface Basics.
- Tableau: basic reports.
Bonus rate
CX research
Learn different research techniques to help evaluate user experience. Learn to conduct qualitative and quantitative research, create user profiles, segment your audience, and build a Customer Journey Map. You will understand how your audience lives and how to give them what they want.
- Introduction to customer experience research.
- Research approach and choice of methods.
- Qualitative methods: in-depth interviews and focus groups.
- Text analytics.
- Quantitative research.
- User segmentation.
- Customer journey map.
- UX research.
- Customer satisfaction.
- New technologies in research.
- Framework for the CX research program.
- Cross-cultural factors in research.
- Research of unique selling propositions.
- Analysis of user behavior on the site.
- How to formulate hypotheses based on web analytics data.
- Conducting an A/B test.
- Methods of data collection and processing.
- Roadmap for change.
- Online research with Oprosso.
Final project
Web analytics for the company website
You will complete a final assignment to prepare for the interview. You will answer questions about web analytics and prepare to complete test tasks for companies.
You will learn the basic tools of a product analyst and gain practical skills in analyzing user behavior and finding growth areas in a product. Learn to identify relationships between metrics, work with hypotheses, and analyze the market and competitors. We focus on practice, so you will end up with a strong portfolio of 9 projects.
Try yourself as an analyst and go through the stages of marketing and product analysis using a real case as an example