Microsoft Power BI Data Analyst - Cloud Learning Academy

Microsoft Power BI Data Analyst

40 Hours

Intermediate

10 Modules

LE 2,999.00
LE 5,500.00
LE 2,999.00
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Microsoft Power BI Data Analyst is a comprehensive course designed to help professionals develop essential skills for analyzing, visualizing, and sharing data insights using Microsoft Power BI. This course prepares learners to transform raw data into actionable business insights by leveraging the powerful tools and features within Power BI. Course Highlights: Introduction to Power BI: Understanding Power BI components, workspace navigation, and setting up data sources for analysis. Data Preparation and Transformation: Techniques for importing, cleaning, and structuring data from various sources using Power Query and the M language for data transformation. Data Modeling: Building robust data models with relationships, calculated columns, and measures using DAX (Data Analysis Expressions) to enhance data analysis capabilities. Data Visualization: Creating dynamic and interactive reports and dashboards with a variety of visualizations, including charts, graphs, and KPIs. Emphasis on design best practices for effective storytelling with data. Advanced Analytics: Utilizing Power BI’s advanced analytics features, including forecasting, clustering, and integrating R or Python for deeper data insights. Power BI Service and Sharing: Publishing reports to Power BI Service, managing workspaces, and sharing insights with stakeholders through interactive dashboards and mobile views. Performance Optimization and Data Security: Techniques for optimizing report performance, data governance, and implementing security measures to protect sensitive data. This course is ideal for data analysts, business intelligence professionals, and decision-makers looking to use Power BI for making data-driven business decisions. By the end of the course, participants will have the skills to independently analyze data, develop insights, and support data-driven decisions using Power BI.
    • Course Outline
    • What you will learn
    • Audience profile
    Overview of data analytics Key roles in data analytics Core responsibilities of a data analyst
    Introduction to Power BI and its features Building blocks of Power BI Navigating and utilizing the Power BI service
    Retrieving data from files, relational databases, and NoSQL databases Data acquisition from online services and Azure Analysis Services Configuring storage modes and troubleshooting data import errors
    Initial data shaping and structure simplification Managing data types and merging tables Using Advanced Editor and profiling data in Power BI
    Working with tables, dimensions, and relationships Creating date tables and handling data granularity Solving modeling issues and managing cardinality
    Creating simple, compound, and quick measures Understanding calculated columns and row context Selecting the right approach for calculated columns and measures
    Reviewing measure and relationship performance Using variables and reducing cardinality for efficiency Optimizing Direct Query models and aggregations
    Creating layouts and visually appealing reports Selecting appropriate visuals and configuring KPIs Implementing report filters, slicers, and navigation features
    Conducting time series and clustering analysis Using bookmarks, visual headers, and app-like designs Mobile optimization and performance tuning
    Managing datasets, gateways, and data refresh Creating and configuring dashboards with data alerts Implementing row-level security with static and dynamic methods
    This course will equip you to acquire, clean, and model data in Power BI, create optimized reports and dashboards, and leverage advanced analytics features for actionable insights. You will also master data management, security, and workspace organization in Power BI.
    Ideal for aspiring data analysts, business intelligence professionals, and Power BI users looking to enhance data reporting and visualization skills.

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