If you’re a computer science student looking for opportunities, then you have full-stack development, front-end
development, data scientists, AI engineers, data analysts, information security analysts as career options, right?
But apart from this, you can also aspire to become a Power BI developer too.
Power BI tops the list of popular tools due to its ease and interactive visualization. It offers self-service analytics
capability to let end-users create reports and dashboards. The possible career opportunities of the Power BI that
are high in demand are, Power BI developers, Power BI consultants, and Power BI analysts.
Module 1: Get Started with Microsoft Data Analytics
Module 2: Prepare Data in Power BI
Module 3: Clean, Transform, and Load Data in Power BI
Module 4: Design a Data Model in Power BI
Module 5: Create Model Calculations using DAX in Power BI
Module 6: Optimize Model Performance
Module 7: Create Reports
Module 8: Create Dashboards
Module 9: Create Paginated Reports in Power BI
Module 10: Create and Manage Workspaces
Module 11: Row-level security
To Download Track Details, Click Here.
Power BI usage has been growing quickly, with over 80,000 open jobs on LinkedIn. Most business analysts and data analysts use Power BI regularly. By learning Power BI, you can accelerate your career and become a data professional.
هذه الدورة مقدمة من :
Microsoft
Power BI Report development
Building Analysis Services reporting models
Developing visual reports, KPI scorecards, and dashboards using Power BI desktop
Connecting data sources, importing data, and transforming data for Business intelligence
Analytical thinking for translating data into informative reports and visuals
Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI
Should have an edge over making DAX queries in Power BI desktop
Expert in using advanced-level calculations on the data set
Responsible for design methodology and project documentaries
Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards
Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams
