The Complete Power Bi Practical Course 2020
The Complete Power BI Practical Course 2020 is a comprehensive online course that empowers learners
The Complete Power Bi Practical Course 2020
The Complete Power BI Practical Course 2020 is a comprehensive guide to using Microsoft Power BI to create stunning data visualizations and reports. This course is designed for beginners and experienced users alike and covers everything from the basics of Power BI to advanced techniques like DAX and custom visuals. With over 60 lessons and 10 hours of video content, this course will teach you everything you need to know to become a Power BI pro.
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The Complete Power BI Practical Course 2020 is a comprehensive guide to using Microsoft Power BI to create stunning data visualizations and reports. This course is designed for beginners and experienced users alike and covers everything from the basics of Power BI to advanced techniques like DAX and custom visuals. With over 60 lessons and 10 hours of video content, this course will teach you everything you need to know to become a Power BI pro.
Course Overview
Master the art of data visualization and analysis with our comprehensive Power BI course, designed for absolute beginners to advanced users. Learn to create stunning dashboards, transform raw data, build interactive reports, and gain insights from complex data sets. By the end of this course, you'll be equipped with the skills to unlock the full potential of Power BI and revolutionize your data reporting and analysis.
Course Description
This comprehensive course introduces the fundamentals of Power BI, walking you through practical examples and real-life scenarios to empower you to transform raw data into valuable insights. You'll learn data extraction, transformation, and visualization techniques, master DAX language, and explore advanced features such as AI and ML integration.
Key Features
1 - Comprehensive Tool Coverage: Provides hands-on training with a range of industry-standard testing tools, including Selenium, JIRA, LoadRunner, and TestRail.
2) Practical Exercises: Features real-world exercises and case studies to apply tools in various testing scenarios.
3) Interactive Learning: Includes interactive sessions with industry experts for personalized feedback and guidance.
4) Detailed Tutorials: Offers extensive tutorials and documentation on tool functionalities and best practices.
5) Advanced Techniques: Covers both fundamental and advanced techniques for using testing tools effectively.
6) Data Visualization: Integrates tools for visualizing test metrics and results, enhancing data interpretation and decision-making.
7) Tool Integration: Teaches how to integrate testing tools into the software development lifecycle for streamlined workflows.
8) Project-Based Learning: Focuses on project-based learning to build practical skills and create a portfolio of completed tasks.
9) Career Support: Provides resources and support for applying learned skills to real-world job scenarios, including resume building and interview preparation.
10) Up-to-Date Content: Ensures that course materials reflect the latest industry standards and tool updates.
Benefits of taking our course
Functional Tools
1 - Microsoft Power BI Desktop:
- Free desktop application that allows users to create and share interactive data visualizations and reports.
- * Offers a user friendly interface with drag and drop functionality for data manipulation and visualization.
- * Includes powerful data transformation and modeling tools, enabling users to clean and prepare data for analysis.
- * Supports a wide range of data sources, making it easy to connect and import data from various sources.
- * Compatible with both Windows and macOS operating systems.
- 2) Microsoft Power BI Service:
- * Cloud based platform that allows users to publish and share Power BI reports and dashboards online.
- * Enables collaboration and real time data updates, allowing teams to work together on data analysis projects.
- * Offers mobile apps for both iOS and Android devices, providing access to data visualizations and reports on the go.
- * Includes features such as automated data refresh and security controls, ensuring data accessibility and protection.
- 3) DAX (Data Analysis Expressions):
- * Formula language used in Power BI to create calculated measures and columns.
- * Allows users to perform complex data transformations, calculations, and aggregations within Power BI.
- * Provides a wide range of functions and operators, empowering users to create custom calculations and manipulate data dynamically.
- * Supports both scalar and table valued functions, offering flexibility in data manipulation.
- 4) Power Query:
- * Data transformation tool included in Power BI that enables users to clean, shape, and prepare data before analysis.
- * Offers a range of transformation options, such as merging, splitting, filtering, and formatting data.
- * Provides an intuitive user interface with a step by step process for data manipulation.
- * Supports both structured and semi structured data sources, making it versatile for handling various data types.
- 5) Power Pivot:
- * Data modeling tool built into Microsoft Excel that allows users to create data models and perform data analysis.
- * Enables users to import data from various sources, create relationships between tables, and create calculated measures.
- * Provides a graphical interface for data modeling, making it easier to visualize and manage complex data relationships.
- * Supports OLAP (Online Analytical Processing) capabilities, allowing for fast and efficient analysis of large datasets.
- 6) Power Map:
- * Geographic data visualization tool included in Power BI that allows users to create 3D maps and explore data based on geographical distribution.
- * Supports binding data to map visuals, enabling users to visualize geographical trends and patterns.
- * Provides options for customizing map projections, colors, and labels, allowing for tailored data visualizations.
- * Offers interactive capabilities, allowing users to zoom, pan, and rotate maps for detailed analysis.
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