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3 lessons per week
6 months
Learn how to analyze big data and make the strategic decisions in business!
Data Analytics
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Fast way to start a career in IT
Opportunity to optimize your business operations
Wide range of analytics applications
Data Analytics is a branch of IT that specializes in collecing and processing large amounts of data, analyzing it, and visualizing research results. This industry includes the use of tools such as Excel, Power BI, SQL, and Python.
Why choose Data Analytics?
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For people with a deep interest in data analytics
Enthusiasts
Specialists from other fields
For those who want to start a career in IT
Beginners
For those with no programming experience
Who is this course for?
03
Making the right decisions based on analytics
You will learn how to apply analytical knowledge in practice, understand which metrics are important for business, how to analyze them, and how to make data-driven decisions.
02
Visualizing analysis results using Power BI
You will master visualization techniques in Power BI and Looker Studio, allowing you to create dashboards with analytical insights and key research findings.
01
Processing large amounts of data using Excel, SQL, and Python
You will learn how to deploy software infrastructure for collecting, processing, and storing data. You will also learn how to organize data for further analysis.
What will you learn in the course?
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Detailed Program
Data Engineer
Deploys software infrastructure for collecting, processing, and storing data
Data Analyst
Helps businesses make informed decisions based on data. Collects and analyzes information, and identifies anomalies in metrics
Product Analyst
Measures various indicators for product analysis and evaluation. Interprets metrics for effective management and increasing product profitability
BI Analyst
Collects, analyzes, and visualizes information using interactive dashboards. Provides reports for effective decision-making
Cases Upon Completion of the Program
Course Format
The Data Analytics program is designed for professionals who want to advance their careers and improve their skills in data processing to solve complex business challenges.

The program is suitable for students, graduates with little work experience who want to develop their skills in data analytics, as well as for specialists from other fields looking to change their qualifications.
  • The training takes place in an intensive format, 3 times a week, 2 hours.
  • Homework assignments with every lesson.
  • All lectures and additional materials will be available after the course for 6 months.
  • On average, our students spend 12 hours per week studying.
What to expect:
  • Expert knowledge: Guest lecturers—experts from MAANG in data analytics —share unique insights and experience.
  • Current topics: Discussion of the latest trends and cutting-edge technologies in IT.
  • Direct interaction: Opportunity to ask questions and discuss relevant topics with leading industry specialists.
  • Real-world business cases: Analysis of actual projects and challenges that professionals face.
  • To receive a certificate, you must score at least 50% of the total grade. Otherwise, the school reserves the right not to issue a certificate upon course completion.
  • Grades will be recorded in the academic transcript and leaderboard, which ranks the top-performing participants.
  • The top 10 participants based on overall performance will be awarded a special certificate of honor.
  • For any questions, participants should contact the program coordinator.
Our mentors
Managing Partner
Yessen & Company
Azat Yessenov
LinkedIn
Lead Product Analyst,
inDrive
Anastasia Bogapova
LinkedIn
The average salary for this profession in Kazakhstan is 575,000 KZT
89000
are waiting for you
job openings
More than
Senior
In 3-5 years
1 100 000 KZT
600 000 KZT
In 1-3 years
Middle
300 000 KZT
Right after the course
Junior
Your salary will grow with experience
My Skills:
Organizing and collecting information for further processing;
Data processing and analysis using methods such as ABC analysis, XYZ analysis, and cohort analysis;
Writing SQL queries for data processing;
Analyzing product metrics to optimize processes;
Conducting A/B testing for hypothesis validation;
Calculating unit economics of a product.
Advanced data analysis using Python libraries;
Visualizing data analysis results and creating dashboards;
Matplotlib
Python
Looker Studio
SQL
Numpy
Excel
Pandas
Power BI
Technology Stack:
Data Analyst
Your Name
Experience & Cases:
Solved 5+ cases in A/B testing, financial modeling of a product, and analyzing product metrics.
Completed 20+ tasks on writing SQL queries and analyzing data using Python;
Solved cases in ABC analysis, XYZ analysis, and cohort analysis;
Built 10+ dashboards;
Your Resume After the Course
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Outpeer.kz – education that changes the future!
Kazakhstan’s No.1 Data Science school, guided by top local and international experts.
About Outpeer.kz
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Full Payment
350 000 KZT
#Internal Scholarship
#Tech Orda
850 000 KZT
71 000 KZT/month
Installment Payment
30 000 KZT/month
Installment for 12 months
Tuition Fees
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