How to start a career in big data: useful online courses and YouTube channels

In-Demand Professions

Data Engineer — a specialist responsible for developing and maintaining infrastructure for processing and storing large volumes of data.

Data Scientist — a specialist who uses data analysis methods to extract valuable information and create predictive models based on data.

Data Analyst — a specialist who analyzes data to identify trends, patterns, and uncover business insights.

Machine Learning Engineer — a specialist who develops and tunes machine learning algorithms for data processing.

Big Data Architect — a specialist who designs Big Data system architectures, including selecting appropriate technologies and integrating various components.

Universities

Kazakhstan

Nazarbayev University, Data Science

International University of Information Technologies, Data Science

Astana IT University, Big Data Analysis

Satbayev University, Machine Learning & Data Science

Narxoz, Data Science and Statistics

Kyrgyzstan

Ala-Too International University, «Data Analysis and Intelligent Systems»

International University of Information Technologies, «Information Systems and Technologies»

Uzbekistan

Tashkent University of Information Technologies, «Computer Engineering»

Inha University in Tashkent, MBA in Digital Transformation

Worldwide

Massachusetts Institute of Technology, Master of Business Analytics University of Chicago, Master of Science in Analytics

Northwestern University, Master of Science in Analytics

Stanford University, MS in Statistics: Data Science

New York University, MS in Data Science

Online Courses

Data Analyst: Excel + Power BI + SQL + Python from nFactorial School

A course for those who want to learn to work with data from scratch: from collecting data in Excel to analysis and visualization. During the course, you will learn to process data arrays and provide well-founded visual reports. You will learn to work with tools such as Excel, SQL, PowerBI, and Python.
Duration: 4 months
Cost: from 9,999 tenge

Data Analyst from Geek Brains

As an analyst, you will learn to work with data professionally. Not only will you collect and study them, but also interpret them. You will learn how to turn information into understandable reports and graphs and draw conclusions based on them. You will be able to help businesses make decisions and plan development.
Duration: 6 months
Cost: 29,934 tenge per month

Machine Learning from Netology

In the course, you will gain practical experience in creating machine learning models, be able to train neural networks, and lay the foundation for transitioning to a middle-level position in the field of Data Science.
Duration: 10 months
Cost: 16,180 tenge per month

Data Analysis and Visualization with Power BI from Microsoft

Upon completion of this course, you will master various types of visualizations in Power BI, be able to integrate them into reports and dashboards. You will become familiar with navigation methods in Power BI reports and learn much more.
Duration: 1-3 months
Cost: free

Data Engineer Course

In 12 months, you will learn to design data architecture, even if you have no IT experience, create data marts and data warehouses, work with data using Python and SQL, and design pipelines.
Duration: 12 months
Cost: 64,000 tenge per month

YouTube Channels

Simplilearn

The channel hosts provide detailed information about Data Science, review courses and data visualization programs. Additionally, the channel offers video courses on various Big Data topics.

edureka

By subscribing to the Edureka channel, you won't miss high-quality videos, webinars, masterclasses, and lectures from industry specialists and influencers. Interesting content on current topics in big data and Hadoop, DevOps, blockchain, artificial intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, Android, PMP certification, AWS Architect, digital marketing, and many others.

Sundas Khalid

Data processing specialist Sundas Khalid shares insights on building a successful career and offers advice for people interested in learning data science.