Data Analyst in SQL and Python: Complete Course from Scratch for Beginners
- In Russian
- 3 strong projects in your portfolio by the end of the course
- Employment program
- Practitioner instructors with real data analysis experience
- Online learning from anywhere in the world
- SQL, Google Sheets, Superset, A/B testing
What Does a Data Analyst Do?
A data analyst is an expert who collects, processes, and analyzes information to help businesses make informed decisions and optimize processes. You will:
Understand key business metrics
and learn how to calculate them using SQL and Google Sheets
Master cohort analysis, forecasting
and data visualization in Superset and Python
Learn to interpret results, draw conclusions
based on research, and justify them
Data Analyst – an In-Demand IT Profession
According to international platforms, data analysts are rapidly advancing and increasing their income
High Demand
Data analysts remain among the most sought-after specialists in IT
Career Development
With active practice and training, you can reach the Middle level within a year of work
Flexible Opportunities
There are vacancies available for both remote work and in the offices of international companies
Who Is This Course For?
Beginners with no experience
You will learn to work with business metrics and analytical tools. By the end of the course, you will have three projects for your portfolio and confidence in your skills
IT professionals looking to change directions
You will expand your skillset and gain the opportunity to work in analytics. Your previous experience will help you master the profession more quickly
Analysts looking to update their knowledge
We keep track of market trends and regularly update the program to ensure that the training meets current employer requirements
Why Choose MYEDU?
A lot of practice from the very first classes
We analyze real cases and learn to work with data from various business fields
Deep understanding of topics
You will master analytics not just mechanically, but through real application of knowledge
Instructor-practitioners
Active analysts will help you learn the profession and avoid mistakes
Assistance with employment
We will prepare you for job searching and interview processes
What You Will Learn in 9 Months
- Conduct statistical data analysis using modern BI tools
- Write SQL queries and work with databases
- Use analytical metrics in marketing and business
- Collect, process, and visualize data
- Work with Google Sheets, Google Analytics, and BI systems
- Solve analytical tasks using Python
- Formulate reports and draw conclusions for business
How the Training Works
Format
- Online lessons in a convenient learning simulator + live webinars with instructors
- All sessions are recorded – you can review them at any time
- Q&A sessions for discussing complex topics
Practice
- Homework and exercises to reinforce theory
- Portfolio projects – you will solve tasks that analysts face
Employment
- Preparation for interviews during the job search phase
- Creation of competitive resumes and portfolios
- Assistance in setting up profiles on LinkedIn and international platforms
- Preparation for test assignments from employers
Detailed Course Program "Data Analyst"
Be assured – you will gain exactly the tools and skills that will enable you to find a job.
We regularly monitor which competencies are in demand in the market and build the curriculum accordingly
- Duration of training: 9 months
- 10.5 hours per week / Total volume: 410 hours
- 3 modules, 24 topics, 270 lessons, 190+ practices, 3 projects
- Career module for employment
Module 1. Introduction to Data Analytics
You will get acquainted with the main tasks of a data analyst, learn about the different types of data and how to process them.
You will learn to represent data in the form of charts, select suitable visualizations for different tasks, and work with Google Sheets and SQL
Module 2. Data Analytics for Real Tasks
You will learn to work with key metrics (CTR, DAU/WAU/MAU, Visits, UV, NRR, ARR, cost-per-mile), conduct data analysis for marketing, product, and finance, as well as apply end-to-end analytics
Module 3. Python for Data Analysis
You will be introduced to the Python language and its capabilities for working with large volumes of data. You will learn to read data from various formats, connect to databases, and automate their updates
Portfolio Projects
Many students find jobs after completing their first educational projects. Each completed task is a valuable addition to your portfolio, which can be shown to employers.
A portfolio made up of course projects is a strong advantage when applying for jobs, both for newcomers and experienced data analysts.
Our projects are not just theoretical tasks; they are close to real-life cases. They resemble the challenges faced by professionals in companies. All work undergoes automated checks and code reviews by a mentor
2-4 Weeks
Project "Sales"
This project assesses how well you can work with data and interpret it.
What will you need to do?
- Analyze marketplace data: from small tables to an entire database
- Answer the posed questions
- Visualize the obtained data in Preset
- Prepare a final presentation with the results
Result: dashboard and presentation with sales analytics
2-4 Weeks
Project "Online School"
You will work with the marketers of the online school and help them build a system of end-to-end analytics.
What will you need to do?
- Analyze the user journey from advertisement to purchase
- Evaluate the effectiveness of the marketing campaign using an attribution model
- Create a report based on the obtained data
- Present the findings to the marketing department
Result: a project that helps the business increase efficiency and understand user behavior
2-4 Weeks
Final Project "Conversion Dashboard"
This project will solidify your skills in working with Python, APIs, and databases, as well as data visualization.
What will you need to do?
- Create a script that works with an API and a database
- Create a prototype in Jupyter Notebook
- Perform filtering, aggregation, and transformation of data
- Build graphs and charts using Matplotlib and Seaborn
- Automate tasks with a Python script
Skill Confirmation
After successfully completing the course, you will receive an international Data Analyst certificate that confirms your qualifications
Employment: How We Help
Even during your studies, you will join the "Career Track" program that will assist you in finding your first job in IT. Here’s what the program includes:
Webinars with IT Recruiters
We will cover all aspects of employment, from crafting a resume to preparing for an interview
Resume Assistance
HR specialists will provide feedback and help improve your profile
Practice in Open Source
Participation in real projects on GitHub
Personal Career Consultant
They will assist with analyzing job vacancies, resumes, internships, and recommendations within companies
Your Resume after the Course:
Junior Data Analyst
Hard Skills:
- Python, R, SQL, Google Sheets
- Data Analysis, Statistical Methods, A/B Testing
- Data Visualization and Dashboard Creation
- Machine Learning: Forecasting and Classification
- Working with Databases: Complex SQL Queries
- Big Data and Business Process Optimization
- Presenting Analytics in the form of Presentations
What You Will Gain from the Training
- Lifetime access to course materials
- Project reviews from mentors
- 6 months of access to the career community
- 50+ courses for skill development
- Assistance with employment
- 3+ projects for your portfolio and one team project
- Mock interviews and interviews on soft skills
FAQ
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Our team will promptly review your inquiry and answer any questions you may haveНапишите намв Telegram
Start Your IT Career Today!
The course is also available for installment payments or in cooperation with government programs:
«Работай и учись»
Государственная программа, в рамках которой работающим жителям Эстонии доступны переквалификация и изучение языков, включая эстонский и английский
