What You’ll Learn
  • Consume and Transform Data by Using Microsoft Excel Connect to data sources.
  • Model Data Use Power Pivot to create data models.
  • Visualize Data Create and manage pivot tables and pivot charts.
  • Analyzing and Visualizing Data with Microsoft Excel

Requirements

  • Basic Knowledge of Excel
  • Understanding of Data Concepts
  • Comfort with Learning New Software

Description

Data analysis and visualization are crucial skills in today’s data-driven world. With Microsoft Power BI, a leading tool in the business intelligence space, you can quickly connect to a wide range of data sources, transform and model data, and craft interactive visualizations that communicate insights effectively. In this course, you’ll receive hands-on experience in leveraging Power BI’s capabilities to analyze data in ways that can impact your business, from trend analysis and forecasting to KPI tracking and detailed drill-down reports.

Why Power BI?

Microsoft Power BI has become a go-to tool for business professionals, data analysts, and managers across industries because of its user-friendly interface and powerful features for data connectivity, modeling, and visualization. It combines ease of use with flexibility, making it suitable for users of all skill levels. Power BI integrates smoothly with other Microsoft products like Excel and SQL Server, and it’s equipped to handle data from a variety of other sources, such as cloud databases and web-based services.

Not only does Power BI enable you to bring together disparate datasets, but it also provides a robust suite of tools for performing calculations, enhancing data insights, and building highly customizable dashboards. Its sharing and collaboration features make it a valuable asset for organizations looking to make data accessible and actionable at all levels.

Who Is This Course For?

This course caters to a broad audience, whether you're an analyst looking to refine your data visualization skills, a manager who wants to leverage data for smarter decision-making, or anyone with a passion for transforming raw data into impactful insights. Here are some specific profiles that will benefit from this training:

  • Business Analysts who analyze data to support operational and strategic decisions.

  • Data Analysts and Data Scientists aiming to add Power BI to their toolset for enhanced data modeling and visualization.

  • Managers and Decision-Makers looking to understand how Power BI can be used to improve data-driven strategies.

  • Finance and Accounting Professionals who need to analyze financial data for budgeting, forecasting, and KPI tracking.

  • Sales and Marketing Teams tracking performance metrics, customer behavior, and trends.

  • Data Enthusiasts interested in learning how to visualize data effectively.

Whether you're new to Power BI or want to build on your existing skills, this course offers a structured, hands-on approach to help you master the tool.

What You’ll Learn in This Course

This course covers a range of skills that will help you become a proficient Power BI user, ready to tackle any data challenge. Here’s a breakdown of what you’ll learn:

1. Getting Started with Power BI

  • Introduction to the Power BI Interface: Learn how to navigate Power BI, including the Report View, Data View, and Model View.

  • Connecting to Data Sources: Understand how to connect to various data sources such as Excel, SQL databases, web data, and cloud services.

  • Importing and Managing Data: Learn best practices for importing data and organizing it within Power BI.

2. Data Transformation and Cleaning

  • Using Power Query for Data Shaping: Discover how to use Power Query to clean, shape, and transform data for analysis.

  • Merging and Appending Data: Learn techniques for merging multiple datasets and creating unified tables.

  • Data Cleansing: Identify common data issues (like duplicates and null values) and learn techniques to handle them effectively.

3. Data Modeling

  • Building Data Models: Learn how to create relationships between tables, a key feature for managing large datasets effectively.

  • Creating Calculated Columns and Measures: Use DAX (Data Analysis Expressions) to create custom columns and perform advanced calculations.

  • Understanding Data Relationships: Set up data relationships and hierarchies to enhance your data model.

4. Data Visualization

  • Creating and Customizing Visuals: Explore Power BI’s range of visuals, from bar charts to complex map visuals, and learn how to customize them to suit your data story.

  • Designing Interactive Reports and Dashboards: Learn how to design user-friendly and engaging dashboards that tell a complete story.

  • Using Slicers and Filters: Discover how to add slicers, filters, and drill-throughs to make your dashboards interactive.

5. Advanced Analytics with DAX

  • Introduction to DAX Functions: Understand the basics of DAX, including calculated columns and measures.

  • Advanced DAX Techniques: Learn more complex DAX functions such as time intelligence for period-over-period comparisons and running totals.

  • Using DAX for Data Analysis: Discover how to use DAX to perform calculations that support deeper analysis, such as percentage growth and conditional logic.

6. Sharing and Collaborating with Power BI

  • Publishing Reports to Power BI Service: Learn how to publish your Power BI reports and dashboards to the cloud-based Power BI Service for access anywhere.

  • Creating Workspaces and Sharing Dashboards: Discover how to create workspaces for teams and share insights in a collaborative environment.

  • Power BI Mobile: Learn how to optimize reports for mobile viewing so that insights are accessible on the go.

7. Power BI Best Practices

  • Design Best Practices: Gain tips on designing visually effective and accessible dashboards.

  • Performance Optimization: Learn techniques to improve the performance of your Power BI reports, such as reducing data load and optimizing calculations.

  • Security and Access Control: Understand row-level security (RLS) to control access to sensitive data within Power BI.

Who this course is for:

  • Business Analysts
  • Data Analysts and Data Scientists
  • Anyone Interested in Data Visualization
Courses

Course Includes:

  • Price: FREE
  • Enrolled: 1934 students
  • Language: English
  • Certificate: Yes

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