Online Course – Certified Professional Internship in Power BI for Data Analysis and Storytelling with Google by Edureka

Harness the power of Power BI for data-driven decision-making, and become an expert in data transformation, AI analytics, and creating interactive dashboards for effective data visualization analysis.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Communication skills
  • Time management
  • Critical thinking
  • Teamwork
  • Problem-solving skills
  • Coping with stress
  • Technological skills
  • leadership
  • Interpersonal skills
  • Independent learning

What you will learn in the course

Courses for which the course is suitable

  • Business analysts
  • Database administrators
  • BI developers
  • IT people
  • Data analysts
  • Data Engineers
  • Data scientists

Internship – 5-part course series

Our Power BI specialization is suitable for newbies, as well as business analysts, database administrators, BI developers, IT professionals, data analysts, data engineers, and data scientists who want to upgrade their skills in database design, data management and transformation, using DAX, creating reports and dashboard segmentation, creating and understanding insights with AI, machine learning, analytical applications, analyzing AI-generated reports, and managing data sources through our rigorous 5-course course series.

  • Data preprocessing
  • Data Analytics
  • Creating reports and dashboards
  • Performing analytics with image and text data

This specialization will provide you with the skill set required to manage and visualize data. Upgrade your knowledge with our Power BI program, an empowering learning experience designed to provide the skills required for efficient data management and effective visualization.

Hands-on Learning Project

Participants will gain proficiency in building and designing reports and dashboards. They will connect to a variety of data sources such as AWS, Snowflake, and CSV files. Importing and converting data in the Power BI environment will be skillfully performed to enable comprehensive visualization.

  • A thorough study of data analysis techniques
  • Anomaly detection
  • Assembling trend charts
  • Emotion analysis
  • Binary prediction
  • Implementation of performance reports

Each student will be able to demonstrate their abilities to apply the knowledge they have acquired through personal projects, which will serve as a conclusion to their learning journey.

Details of the courses that make up the specialization

Learn data storytelling with Power BI

  • Course 1 • 12 hours

Course Details

  • What you’ll learn

Welcome to the Data Storytelling with Power BI course, where you will embark on a journey to gain hands-on experience in data transformation and visualization. Harness the potential of Power BI to create narratives using organized data, leading to deeper insights. During this course, you will explore the industry uses of Power BI and delve into its various features and functions.

At the end of the course, you will be able to:
  • Explain the different data sources found in Power BI Desktop.
  • Instruct the user in Power Query editing to clean and transform data.
  • Manipulate data with DAX formulas and tell stories using various visualization techniques.
  • Apply Power BI Service features to improve the quality of your reports and make dashboards in Power BI Service.
  • Create reports and dashboards in the Power BI service using its common features.
  • Apply smart narrative and key performance indicators to enhance reports for target audiences.

This course is designed for a diverse audience: beginners, data analysts, business analysts, business intelligence analysts, and IT professionals looking to improve their data analysis skills using Power BI.

Previous experience with Microsoft Excel or spreadsheet applications can be helpful when working with Power BI.

Power BI project for data science and analytics

  • Course 2 • 13 hours

Course Details

  • What you’ll learn

Analyze data using the AI ​​analytics features offered by Power BI.

Skills you will acquire
  • Category: Database Design
  • Category: Data manipulation
  • Category: Creating Reports
  • Category: Data Import and Export
  • Category: Data Source Management

Power BI integration with AWS and Snowflake

  • Course 3 • 7 hours

Course Details

  • What you’ll learn

Connecting AWS and Snowflake with Power BI and importing data for use in visualization.

Skills you will acquire
  • Category: Database Design
  • Category: Data manipulation
  • Category: Creating Reports
  • Category: Data Import and Export
  • Category: Dashboard
  • Category: Data Management

Connecting data and functions in Power BI

  • Course 4 • 18 hours

Course Details

  • What you’ll learn

Working with MS SQL Server and connecting data with Power BI to view datasets.

Skills you will acquire
  • Category: Database Design
  • Category: Dashboard Advertising
  • Category: Utilizing AI metrics
  • Category: Report Creation
  • Category: Data Management

Power BI Capstone Project

  • Course 5 • 7 hours

Course Details

  • What you’ll learn

This course is designed for professionals who want to practice projects that meet industry standards. The course includes two projects, one of which deals with designing databases in Snowflake and connecting them to Power BI for analysis, and the other focuses on inventory management and forecasting trends, which aid in decision-making.

At the end of the course, you will be able to:
  1. Explain the Snowflake cloud data platform.
  2. Demonstrate the use of the Snowflake platform for data storage and management.
  3. Apply Power BI Service features to improve the quality of your reports and make dashboards.
  4. Create detailed reports and dashboards in Power BI Service, using its common features.

This course is designed for data analysts, data managers, and business analysts looking to upgrade their analytical and design skills.

Previous experience with MS Excel and SQL is helpful but not required for this course.

Join us on this journey.

To improve your decision-making skills and enhance your analysis and design capabilities.

Skills you will acquire
  • Category: Machine Learning
  • Category: Analysis Applications
  • Category: Report Creation
  • Category: AI-generated report analysis
  • Category: Dashboard Advertising