A selection of courses for Data Analysts

Bootcamp on Advanced Data Analytics

What will be in the course program:

— Introduction and business case analysis: October 9–20

— Mathematics and statistics: October 23–November 3

— Data analysis in Python: November 6–17.

The main mentor is Veyo Vanttinen, a university lecturer from Finland teaching courses in “Business Analytics,” “Data Analytics,” “Blockchain,” and “Internet of Things.”

Requirements for participation:

— Advanced level of English proficiency

— Basic knowledge of Python

— Good understanding of mathematics and statistics.

The training will take place offline in Bishkek.

Registration deadline: October 3

Registration is available via this link.

Data Science by EPAM

During the course, you will have the opportunity to:

— Build a solid foundation in software development

— Dive into statistics and data analysis

— Learn regression, classification, and clustering techniques

— Get acquainted with the basics of deep learning and neural networks.

The course lasts 3 months and starts in November.

The course is free for residents of Kazakhstan.

Registration is available via this link.

Data Science Math Skills

The course was launched as part of the collaboration between IT Park and Coursera — ONE MILLION UZBEK CODERS.

Here you can learn the basic mathematical skills necessary for coding and further study of Data Science.

The course is free for residents of Uzbekistan.

Registration is available via this link.

Getting Started with Data Analytics on AWS by Amazon Web Services

What you will learn after the course:

— Explain different types of data analysis: descriptive, diagnostic, predictive, and prescriptive

— Understand how to perform descriptive data analytics in the cloud using typical datasets

— Learn how to build simple visualizations in AWS QuickSight to create descriptive analytics using S3, CloudTrail, and Athena.

The training is free for everyone and is available via this link.

Data Analyst Course by Yandex Practicum

Technologies and tools you will learn to use:

— Python

— Jupyter Notebook

— SQL

— PostgreSQL

— Tableau

— A/B testing.

The course is online and takes 7 months to complete.

Cost: $878 for the entire course

You can take the course at any time via this link.