Microsoft Excel: Business Intelligence w& Power Query & DAX

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2023-03-27
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Maven AnalyticsChris Dutton
Next Course
4.7
97,287 Ratings
This course is the perfect way to become an Excel analytics ninja! Learn how to use Microsoft Excel's powerful data modeling and business intelligence tools: Power Query, Power Pivot, and Data Analysis Expressions (DAX). Get hands-on with Power Query to extract, transform, and load data into Excel from flat files, folders, databases, API services and more. Then dive into Data Modeling 101 and use Power Pivot and DAX to explore and analyze your Excel data model. With this A-Z guide, you'll be able to supercharge your Excel analytics game and join the leading edge of business intelligence. Plus, you'll get lifetime access, project files, quizzes & homework exercises, 1-on-1 instructor support, and a 100% money-back guarantee!
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 18th, 2023]

Microsoft Excel: Business Intelligence w& Power Query & DAX is an A-Z guide to becoming a power Excel user and supercharging your Excel analytics game. This course introduces Microsoft Excel's powerful data modeling and business intelligence tools: Power Query, Power Pivot, and Data Analysis Expressions (DAX). Students will learn how to extract, transform, and load data into Excel from flat files, folders, databases, API services and more. They will also practice shaping, blending and exploring project files in Excel's query editor, and create completely automated loading procedures inside of Excel with only a few clicks. Additionally, students will cover the fundamentals of database design and normalization (including table relationships, cardinality, hierarchies and more). They will also use Power Pivot and DAX to explore and analyze their Excel data model. With the help of this course, students will be able to take their Excel game to new heights and join the leading edge of analytics & business intelligence.

Course Syllabus

Getting Started

Intro to “Power Excel"

Connecting & Transforming Data with Power Query in Excel

Building Table Relationships with Excel's Data Model

Analyzing Data with Power Pivot & DAX

Common DAX Formulas & Functions

Wrapping Up

Show All
Pros & Cons
  • Practical approach
  • Comprehensive content
  • Incomplete data analysis tasks
  • Limited focus on advanced topics
Show All
Recommended Courses
mastering-data-modeling-fundamentals-4954
Mastering Data Modeling Fundamentals
4.4
Udemy 33,500 learners
Learn More
This course is perfect for anyone looking to master the fundamentals of data modeling. Learn the techniques required to create data models for your organisation, including both the classic entity-relationship notation and the "crow's foot" notation. You will also learn how to create semantically correct data models from entities, attributes, relationships, hierarchies, and other modelling components. Finally, you will be able to use forward engineering to convert conceptual data models to logical and physical data models. Sign up now to become a data modeling expert!
free computerized-data-processing-4960
Computerized Data Processing
1.5
Udemy 177 learners
Learn More
This course is perfect for new learners who want to learn the principles of statistical analysis and the appropriate application of statistical techniques. It covers the main stages of a research project, from formulating the research problem to collecting data and analyzing the results. It also introduces learners to the basic terms and tools used in data processing, such as methods, techniques, and tools like the psychological survey and the questionnaire. Furthermore, it emphasizes the importance of real numbers (rational, whole, natural) in data processing. If you are looking to gain a better understanding of computerized data processing, this course is for you.
free 8-data-preprocessing-in-data-mining-4-steps-dm-4961
#8 Data Preprocessing In Data Mining - 4 Steps DM
3.0
Youtube 133,319 learners
Learn More
The course "#8 Data Preprocessing In Data Mining - 4 Steps DM" offers a comprehensive overview of the four crucial steps involved in data preprocessing for data mining. It covers data cleaning, integration, transformation, and reduction, highlighting their significance in improving the accuracy of data mining models. The course provides practical examples to illustrate the application of these preprocessing steps, equipping participants with a better understanding of their importance and how to effectively utilize them in data mining.
free ai-free-basic-course-lecture-11-data-preprocessing-live-session-4962
AI Free Basic Course Lecture 11 - Data Preprocessing Live Session
2.5
Youtube 10,150 learners
Learn More
This AI Free Basic Course Lecture 11 - Data Preprocessing Live Session by Muhammad Irfan Malik is the perfect opportunity for new learners to get an introduction to data preprocessing for machine learning. The lecture covers topics such as data cleaning, feature engineering, and data transformation. Learners can also find additional resources on Muhammad Irfan Malik's social media accounts, including Facebook, Instagram, LinkedIn, Twitter, TikTok, and WhatsApp Community. Don't miss out on this great opportunity to learn more about data preprocessing for machine learning.
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet