Module
Overview:
As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of "big data" is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
Course Intended Learning Outcomes:
• Analyze data with self-service BI.
• Connect to data sources.
• Perform data cleaning, profiling, and shaping.
• Visualize data with Power BI.
• Enhance data analysis by adding and customizing visual elements.
• Model data with calculations.
• Customize and Filter visualizations.
• Use advanced analysis techniques.
• Share reports and create dashboards in the Power BI Service.
• Manage and collaborate in the Power BI Service.
• Enhance reports and dashboards.
Course Content (Topics):
Lesson 1: Analyzing Data and Reporting with Power BI
Topic A: Data Analysis and Visualization for Business Intelligence
Topic B: Interact with Reports in Power BI
Lesson 2: Connecting to Data
Topic A: Create Data Source Connections
Topic B: Configure and Manage Relationships
Topic C: Save Files in Power BI
Topic D: Secure and Troubleshoot Connections
Lesson 3: Cleaning, Transforming, and Loading Data
Topic A: Load, Clean, and Shape Data with the Query Editor
Topic B: Profile Data with the Query Editor
Topic C: Shape Data with the Query Editor
Topic D: Transform Data with the Query Editor
Lesson 4: Visualizing Data with Power BI
Topic A: Create Visualizations with Power BI
Topic B: Select Visualization Types with Power BI
Lesson 5: Enhancing Visuals for Data Analysis
Topic A: Customize Visuals and Pages
Topic B: Incorporate Tooltips in Visualizations
Lesson 6: Modeling Data with Calculations
Topic A: Create Calculated Columns with DAX
Topic B: Create Calculated Measures and Conditional Columns
Lesson 7: Customizing and Filtering Reports
Topic A: Create Data Hierarchies
Topic B: Filter Reports
Topic C: Discover Time Intelligence Insights
Topic D: Configure Slicers for Interactive Filtering
Lesson 8: Performing Advanced Analysis
Topic A: Create Calculated Tables, Variables, and Parameters
Topic B: Perform Statistical Analysis
Topic C: Analyze Data with Advanced Power BI Features
Lesson 9: Sharing Reports and Creating Dashboards in the Power BI Service
Topic A: Publish and Explore Reports in the Power BI Service
Topic B: Create Dashboards
Topic C: Add Q and A to Dashboards
Lesson 10: Managing and Collaborating in the Power BI Service
Topic A: Manage Workspaces and Share Content
Topic B: Collaborate with the Power BI Service
Lesson 11: Enhancing Reports and Dashboards
Topic A: Optimize Usability and Performance
Topic B: Create Mobile Reports for Power BI
Target group(s):
This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft® Excel® or SQL Server® reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification.
Module Duration: 24 hours
Course fees: 130 $
المدرب: المهندس محمد ياسين
