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Data analyst: first steps into the profession - course 16,000 rubles. from Innopolis University, training 1.5 months, Date: December 2, 2023.
Miscellaneous / / December 05, 2023
Analysts
Do you work with large volumes of data? Python and SQL will help you save time processing them. Forget about long hours of monotonous work
Financiers, economists and accountants
Learn to quickly generate reports and easily make calculations when developing new products and projects
Executives and product managers
You will be able to quickly make decisions based on data, thereby reducing risks for your company. Learn to competently set tasks for automating data collection and analysis.
Marketers
Learn to analyze the market, consumer behavior and advertising effectiveness based on data, generate visual reports on advertising campaigns, put forward and test hypotheses.
— After completing the first module, choose the programming language you want to master: Python or SQL. If necessary, we will help you make a choice in accordance with your professional goals
— Ask questions in live webinars. Mentors will help fill gaps in knowledge and deal with any difficulties that may arise.
— You will be accompanied by a tutor. He will solve all organizational issues and try to make the learning process as effective and comfortable as possible.
— At the end of the training, a final certification awaits: analysis of a data array using Excel and a programming language (Python or SQL)
Founder and Director of Silver Phoenix Consulting Canada. Data Engineer at the Government of Alberta IT Department, Canada
Database expert, co-owner of a consulting company. In the industry in 1996. Over 20 years of experience working with databases, predominantly MS SQL Server and MySQL, Sage 50 (Canada) Development Partner. Worked for First Calgary Financial, Mawer Investment Management, H&R Block Canada, Calfrac Systems (Canada) Among the completed projects - transfer of banking processes and reporting to a new financial system; development from scratch and implementation of a data warehouse in an investment company; architecture and implementation of data integration processes with Oracle ERP; development of cloud storage on the Snowflake (AWS) platform. Experience with SQL Azure, Agile, Kan Ban, Scrum technologies. Conducted training on databases at the Moscow State University of Management under the Moscow Government. Graduated from Moscow Industrial University with a degree in Programming.
1. Basic module. Data-driven management
1. Basic concepts. Data types. data usage
2. Data culture. Data life cycle
3. Technological features of data use
4. Data and systems examination. Evaluating the effectiveness of technical systems
5. Definition of storage systems
6. Geographic information systems. Software overview
7. Introduction to Artificial Intelligence Technologies
8. Basics of forming technical specifications for development. Interaction with contractors
9. Digest of domestic IT solutions for working with data
10. Industry and international examples and practices on the use of data processing and analysis technologies for making management decisions
11. Working with data in Excel
Interim certification
2. Module “Tools for working with data. SQL language"
1. SQL language.
Interim certification
3. final examination
The final certification is carried out in the form of a test in the form of solving practical cases.
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19/12/2019