1. Introduction to data analysis


Part 1: Data-Driven Business Analysis and Power BI Overview. KPIs and other business metrics. Working with data sources in Power BI.

Part 2:From zero to hero, we go through the full cycle from the data source, work in Power Query, DAX.


2. Power Bi interface


Part 1: Processing Data in Power BI with Power Query: Basic and Magic UI Elements, and the M (mash up!) Language. Magic without programming.


Part 2: Create your first visualizations in Power BI.

3. Modeling and reporting


Part 1: The relational data model is the heart of Power BI. Creating relationships and an introduction to DAX.


Part 2: Building a comprehensive report. Clean data, correct structure, beautiful data model.

4. Building a DAX structure report


Part 1: Everything that DAX can do: Measures, Columns, Calculated Tables. Kinds of DAX functions.



Part 2: Building a comprehensive report. DAX and Time Intelligence Practice/


5. Data visualization


Part 1: Visualizations and More DAX Practice. Standard and Custom visualizations. Formatting, Visual Data Stories

Part 2: UI / UX for reports, POWER BI functions and the magic of right visualizations. Customization for mobile devices. Presentation of personal projects.

6. The art of presenting data


Part 1:Detailed PowerQuery Parsing





Part 2: M code is the language behind the scenes of PowerQuery. Where Can You Write Power Query M Code?

7-8. DAX philosophy



Part 1: Constructor layers and DAX development.

Part 2: Practice with Advanced DAX and Cases.

9.Filter contexts



Part 1: Internal and external filter contexts.


Part 2: Preparing for Microsoft certification.

10.Optimization and

cloud


Part 1: Python and Data Science Models

in PowerBI, Microsoft exam preparation.


Part 2: Review of PowerBI.com, MOBILE, POWER BI GATEWAY. PRESENTATIONS OF INDIVIDUAL PROJECTS. Get your Certificate immediately

Instructor

Yekaterina Rekhert

One of the top 3000 experts in the world, has an honorary award and the status of Microsoft Most Valuable Professional - expert knowledge, professionalism and significant contribution to the development of the technical community made by Yekaterina were recognized by Microsoft, there is no higher award and status for an expert. Certified BI analyst, ex-Microsoft employee.

  • 1.5 years worked as a data analyst (BI Analyst) at Microsoft, USA
  • Worked as Data Scientist at Kolesa Group
  • $ 4,000 Business Intelligence Professional Certification from the University of Washington (certification includes Power BI and other tools)
  • Founder of the Business Intelligence community of analytics in Kazakhstan
  • Frequent speaker and author of articles on the topic of data analysis 
  • Graduate of the London School of Economics
  • Winner and medalist of 11 international business championships
  • She also has experience in global corporations: Procter & Gamble , MARS Inc, Microsoft, Kolesa Group, currently - founder and CEO at DataBoom
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