The Ultimate Microsoft Excel Mastery Bundle - 8 Courses

Master Microsoft Excel with this huge-value beginner to advanced eight-course bundle and become an Excel power user!
4.59 (2564 reviews)
Udemy
platform
English
language
Microsoft
category
instructor
The Ultimate Microsoft Excel Mastery Bundle - 8 Courses
15 314
students
66.5 hours
content
Mar 2024
last update
$94.99
regular price

Why take this course?

Based on the comprehensive list of topics you've provided, here's a structured learning path to become proficient in Excel for Business Analytics, including PivotTables and PivotCharts, advanced Excel functions, Power Pivot, Power Query, DAX, and creating interactive dashboards. This path assumes you are starting from scratch and will take you through all the necessary steps to master these skills.

Week 1-2: Getting Started with Excel Fundamentals

  • Understand Excel's interface and basic navigation.
  • Learn data entry, formatting, and cell references.
  • Practice with basic functions (SUM, AVERAGE, etc.).
  • Get comfortable with absolute and relative cell references.

Week 3-4: Intermediate Excel Functions

  • Dive into more advanced functions (VLOOKUP, INDEX/MATCH, IF, AND, OR).
  • Explore data validation and conditional formatting.
  • Start working with charts and understanding data visualization principles.

Week 5-6: Introduction to PivotTables and PivotCharts

  • Learn how to create a basic PivotTable from scratch.
  • Understand how to summarize data effectively with PivotTables.
  • Explore formatting options and PivotChart creation.
  • Practice grouping, filtering, and slicing data in PivotTables.

Week 7-8: Advanced PivotTables Techniques

  • Master advanced sorting, filtering, and data grouping in PivotTables.
  • Learn to create calculated fields within a PivotTable.
  • Understand the GETPIVOTDATA function.
  • Add interactive elements like slicers and timelines.

Week 9-10: Excel Dashboards Fundamentals

  • Understand dashboard architecture and inspiration sources.
  • Prepare data for analysis, including data cleaning and manipulation.
  • Create a basic sales dashboard from scratch.
  • Learn best practices for creating clear and informative dashboards.

Week 11-12: Power Pivot and Power Query in Excel

  • Get to know the Power Pivot window and how to import data models.
  • Learn how to use Power Query to clean, transform, and load data.
  • Understand the role of DAX formulas in defining calculated columns and measures.

Week 13-14: Mastering DAX for Analytics

  • Dive into writing DAX formulas.
  • Learn how to create complex calculations with DAX.
  • Practice creating custom metrics using DAX.

Week 15-16: Creating Interactive Excel Dashboards

  • Combine your knowledge of PivotTables, PivotCharts, and interactive elements (form controls) to build dynamic dashboards.
  • Learn how to add slicers, timelines, maps, and sparklines to enhance user interaction.
  • Customize and style your dashboards for a professional look.

Week 17-18: Advanced Dashboard Techniques

  • Explore advanced charting techniques to present data effectively.
  • Learn how to combine multiple charts and PivotTables into a cohesive dashboard.
  • Understand how to update and maintain your dashboards with new data.

Week 19-20: Real-World Application and Project Work

  • Apply your skills to real-world business analytics scenarios.
  • Work on a capstone project that pulls together all the elements you've learned.
  • Review, refine, and present your dashboard project.

Week 21+: Continuous Learning and Specialization

  • Stay updated with new Excel features and updates.
  • Specialize in areas such as financial modeling, statistical analysis, or data storytelling.
  • Share your work and collaborate with others in the field to improve your skills further.

Additional Resources:

  • Online Courses and Tutorials: Utilize platforms like Coursera, Udemy, LinkedIn Learning, and others that offer specific courses on Excel, PivotTables, Power Pivot, Power Query, and dashboard creation.
  • Books: Consider reading comprehensive books on Excel for Business Analytics.
  • Communities: Join Excel forums or communities like Reddit's r/excel or the Excel Network User Group to learn from others and get feedback on your work.
  • Practice: Regularly practice by creating dashboards for different scenarios, such as marketing analytics, finance, HR, etc.

By following this structured learning path and dedicating time to practice and apply each concept, you'll become a proficient Excel user with advanced knowledge in business analytics using PivotTables, PivotCharts, and interactive dashboards. Remember that the key to mastering Excel is consistent practice and applying what you learn to real-world problems.

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Comidoc Review

Our Verdict

The Ultimate Microsoft Excel Mastery Bundle - 8 Courses offers learners exceptional value with its wide-ranging curriculum and comprehensive coverage of Excel functionalities. Deborah Ashby's teaching expertise results in a well-paced, engaging learning experience, despite some minor flaws. This expansive course is perfect for beginners or intermediate users wanting to master all aspects of Microsoft Excel.

What We Liked

  • The course offers a comprehensive coverage of Microsoft Excel, from basics to advanced features, in a single package.
  • Deborah Ashby's teaching style is engaging, clear, and supportive, ensuring that learners remain engaged throughout the course.
  • Includes practical exercises and downloadable resources for hands-on experience and reinforcement of concepts.
  • Covers various advanced topics like dynamic arrays, macros, statistical functions, and data analysis tools.

Potential Drawbacks

  • Some repetition of content occurs across the eight courses, which may seem redundant for more experienced users.
  • The course might be overwhelming for those solely interested in specific functionalities, as it covers a broad spectrum.
  • A few course files related to the FILTER function have discrepancies; however, corrected versions are available.
  • Some advanced topics could benefit from a stronger emphasis on real-life applications and industry-specific examples.
4920048
udemy ID
09/10/2022
course created date
09/11/2022
course indexed date
ANUBHAV JAIN
course submited by