Data Analyst from zero to Junior - free course from Skillbox, training, Date: November 29, 2023.
Miscellaneous / / December 01, 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.
You will go through all stages of working with data. Learn to identify problems, collect business requirements. You will download data from various sources, conduct exploratory analysis and prepare the dataset for further use. Train and implement a ready-made ML model, try yourself as a product and marketing analyst. Learn how to formulate and test hypotheses. Master the basic tools for work: Python, SQL, Excel, Power Bi, Airflow.
Gain basic knowledge of mathematics to work with machine learning. You will understand what approximation, interpolation, functions, regressions, matrices and vectors are. Learn to work with mathematical entities in the SymPy Python library.
Fundamentals of statistics and probability theory
You will understand the principles of working with random variables and events. Become familiar with some types of distributions and statistical tests that are useful in constructing models and testing hypotheses.
Internship opportunity
Basic knowledge and skills are enough to get an internship - you can continue studying on the course and in the company at the same time.
Advanced level: diving into data analytics
You will go through the basics of marketing, BI and product analytics. Learn to extract data from warehouses, interpret sales dynamics, do cohort analysis, build funnels and formulate conclusions. Improve your skills in Excel, Python and Power BI. Gain basic skills in working with Big Data. The average completion time is 6 months.
Data Analyst. Junior
- You will learn basic data analysis techniques and learn how to draw analytical conclusions. You will learn how to build basic types of graphs and visualize data correctly. You will practice identifying trends from tabular data in Excel and making forecasts.
- You will learn how to identify problems in a company’s marketing and improve advertising effectiveness. In practice, learn how to collect full-fledged sales funnels in Power BI and prepare reports. You will understand how to track customers more effectively using lead attribution and call tracking.
- Learn to download data from databases using Python, write SQL queries, and correct errors in the collected material. You will learn how to build a clear dashboard and formulate conclusions about the work done. Learn to work with tools for processing Big Data: Hadoop, Hive, Spark. Conduct an analysis of data on the work of the company’s contact center.
- You will learn how to evaluate the market before launching a startup, and in practice you will go through all the stages of a product analyst’s work from surveys to evaluation and prioritization of features.
- You will learn how to organize work using Scrum and Kanban methods. Learn to collect and check requirements for inconsistencies and document them. You will learn how to plan work, assess project risks and present the results.
- You will analyze typical test tasks, receive recommendations on writing a resume and an idea of how to develop as an analyst.
Final projects
After passing the first level, prepare an introductory project. At the end of the advanced level, present your final work in three areas of analytics and decide which data you are more interested in working with.
Introduction to Data Science
Consolidate your new knowledge on an individual project - you will go from loading data to implementing a model. Solve the problems of a data engineer, ML engineer and data analyst to decide on your specialization.
Data Analyst. Junior
- Product Analytics: analyze the results of A/B testing for a product and decide what needs to be developed first.
- Marketing Analytics: prepare data, calculate conversions and LTV. Draw conclusions about the effectiveness of advertising campaigns.
- BI Analytics: build a plan-fact. Create dashboards that will allow you to understand which departments have the greatest impact on company performance.
Bonus courses
Developer Career: Employment and Development
You will learn how to choose a suitable vacancy, prepare for an interview and negotiate with an employer. You will be able to quickly get a position that meets your expectations and skills.
Git version control system
Learn to version code changes, create and manage repositories, branches, and resolve version conflicts. Learn useful rules for working with Git.
English for IT specialists
Gain language skills that will help you pass an interview with a foreign company and communicate comfortably in mixed teams.
Training. The program volume is 72 hours. Distance course. The most sought-after program in terms of the volume of advanced professional competencies required to use technologies and methods for collecting and analysis of large data sets (Big Data) to create a new or improve the efficiency of an existing business in a digital environment economy.
1-2 live online classes per week with Data Analysts. 80 tasks. Best Practices.
• We will tell you in simple words about Data Science, neural networks, artificial intelligence and other popular phenomena • You will understand what areas exist in the field of working with data, and work with analytics tools in practice • Get a step-by-step guide and find out what you need to start in the field of Data Science