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Lenore R Flower

Prepare and model data from multiple sources with Udacity's online Data Modeling Training Course. Learn how to combine, clean, restructure, and harmonize data.

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

  • Intermediate spreadsheet use

You will also need to be able to communicate fluently and professionally in written and spoken English.

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What's inside

Syllabus

Meet your instructor, get an overview of the course, and learn some fundamental concepts about how Power BI is used to prepare data and generate easy-to-understand visual reports.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Introduces fundamental Power BI concepts and techniques, building a strong foundation for beginners
Covers core data modeling concepts in Power BI, which are essential for building efficient and effective data models
Provides hands-on practice with data gathering and transformation using Power BI's Get Data feature, enabling learners to prepare data for further analysis
Delves into advanced data transformations to help learners manipulate data and prepare it for data modeling and reporting
Explores relationships and filters in Power BI, providing a comprehensive understanding of how to connect and filter data for effective analysis
Develops reporting skills using Power BI, including adding report components, grouping data, and creating measures and calculated columns

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Reviews summary

Practical power bi data preparation & modeling

According to learners, 'Preparing and Modeling Data with Power BI' is a largely positive and highly practical course for those looking to master data preparation and modeling. Students particularly praise the clear explanations from the instructor and the emphasis on hands-on activities, culminating in a valuable capstone project. The course excels at teaching Power Query (M language) and data transformations, providing a strong foundation for aspiring business analysts. While many find the pacing excellent for beginners, a few intermediate learners suggest that some DAX concepts could be explored in greater depth or that the course might feel too basic if they already have prior experience. Overall, it's considered highly relevant for professional skill development.
Course content aligns well with current industry needs, especially for business analysts.
"The content is very relevant for business analysts."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
"The emphasis on cleaning and transforming data before visualization was very helpful for my reporting needs."
Excellent for mastering data cleaning, transformation, and modeling in Power BI.
"This course was exactly what I needed to get started with Power BI data modeling."
"The modules on Power Query (M language) and data transformations were incredibly useful."
"I learned a ton about preparing data for Power BI reports. The emphasis on cleaning and transforming data before visualization was very helpful."
"I've been struggling with messy data, and this course provided clear strategies."
Instructor effectively breaks down complex Power BI and DAX concepts.
"The instructor's explanations of DAX were so clear, and the project at the end really tied everything together."
"The explanations were easy to follow, and the exercises reinforced the concepts well."
"The instructor breaks down complex topics like relationships and filters into understandable chunks."
"This course clarified so many concepts I struggled with, especially how to split data into fact and dimension tables."
Emphasizes real-world application through exercises and a capstone project.
"The project at the end really tied everything together. I feel much more confident preparing data now. Highly recommend for anyone new to Power BI!"
"I liked the hands-on approach and the focus on practical applications."
"The practical project at the end was invaluable. It allowed me to apply everything I learned."
"The examples were very practical and relatable to real-world business scenarios, making learning effective."
Excellent for beginners, but some find it too basic or slow for intermediate users.
"Sometimes the pace felt a bit slow for me, as I had some prior Excel experience..."
"I found some of the DAX concepts rushed. I had to do a lot of external research to fully grasp them."
"Too basic for me. I was expecting more advanced data modeling techniques and DAX formulas."
"It covers the fundamentals well, but felt it stopped short of truly advanced modeling."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Preparing and Modeling Data with Power BI with these activities:
Practice Using Different Data Transformation Functions
This activity will allow you to practice using different data transformation functions, such as filtering, sorting, and merging, which will help you become more proficient in using Power BI.
Browse courses on Data Transformation
Show steps
  • Import a dataset into Power BI.
  • Explore the different data transformation functions available in Power BI.
  • Practice using the different data transformation functions to clean and prepare your data.
  • Create a report based on your transformed data.
Follow Tutorials on Advanced Data Modeling Techniques
This activity will allow you to learn about advanced data modeling techniques, such as using DAX and creating hierarchies, which will help you build more complex and powerful data models.
Browse courses on Data Modeling
Show steps
  • Find tutorials on advanced data modeling techniques.
  • Follow the tutorials and practice using the techniques.
  • Apply the techniques to your own data models.
Build a Data Model for a Real-World Dataset
This activity will allow you to apply the skills you have learned in the course to a real-world dataset, which will help you gain experience in building data models.
Browse courses on Data Modeling
Show steps
  • Choose a real-world dataset to work with.
  • Import the dataset into Power BI.
  • Create a data model for the dataset.
  • Create a report based on your data model.
Show all three activities

Career center

Learners who complete Preparing and Modeling Data with Power BI will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Preparing and Modeling Data with Power BI.
Provides a comprehensive overview of data modeling with Power BI, covering topics such as data sources, data transformation, and data visualization. It would be a valuable resource for learners who want to learn more about the fundamentals of data modeling.
Focuses on the practical aspects of data modeling with Power BI, providing step-by-step instructions on how to create and use data models. It would be a great choice for learners who want to get hands-on experience with Power BI.
Provides a comprehensive overview of Power BI, covering topics such as data modeling, data visualization, and data analysis. It would be a valuable resource for learners who want to learn about all aspects of Power BI.
Provides a quick and easy introduction to Power BI. It covers the basics of data modeling, data visualization, and data analysis, and would be a good choice for learners who want to get started with Power BI quickly.
Provides a comprehensive guide to optimizing the performance of Power BI data models. It covers topics such as identifying performance bottlenecks, optimizing data queries, and using performance optimization tools.
Provides a guide to using Power BI with Azure data services. It covers topics such as connecting to Azure data services from Power BI, using Azure data services to enhance Power BI reports, and deploying Power BI reports to Azure.

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