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Microsoft

In this course, you’ll learn how to make use of Excel in business scenarios for data analysis. You’ll also learn how to utilize formulas and functions for data analysis. 

Specifically, this course will help you gain knowledge and skills for preparing data for analysis using Microsoft Excel and take you one step closer to becoming a Business Analyst. 

After completing this course, you’ll be able to: 

• Identify and explain the steps involved in preparing data for analysis using Excel functions.

• Use formula and functions for Data Analysis

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In this course, you’ll learn how to make use of Excel in business scenarios for data analysis. You’ll also learn how to utilize formulas and functions for data analysis. 

Specifically, this course will help you gain knowledge and skills for preparing data for analysis using Microsoft Excel and take you one step closer to becoming a Business Analyst. 

After completing this course, you’ll be able to: 

• Identify and explain the steps involved in preparing data for analysis using Excel functions.

• Use formula and functions for Data Analysis

• Describe how Excel is used in business scenarios for Data Analysis

• Apply Excel skills to real-world data preparation tasks.

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What's inside

Syllabus

Excel Fundamentals
This module introduces essential Excel elements and techniques begininning with the creation and formatting of worksheets. It explores the Excel features that are useful when viewing large data blocks and explains how to create accurate calculations.
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Teaches Excel skills that are essential in the field of business analysis
Provides hands-on experience in preparing data for analysis using Excel functions
Covers essential Excel elements and techniques
Developed by Microsoft, a company known for its software expertise
Teaches how to use formulas and functions for data analysis
Involves working with PivotTables, a powerful feature for data manipulation and analysis

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Reviews summary

Practical excel for business analysts

According to learners, this course provides an excellent and practical foundation for using Microsoft Excel in business analysis. Students consistently praise the clear explanations from the instructor and the well-structured content. The module on PivotTables is frequently highlighted as particularly useful and impactful for their work. While many appreciate the hands-on exercises and final project for reinforcing skills, some more experienced users found the course too basic for advanced analysis, suggesting it's ideal for beginners or those seeking a refresher. Recent reviews indicate the course maintains a consistent quality, with earlier concerns not widely echoed.
Newer reviews suggest sustained quality and addressed earlier concerns.
"This course exceeded my expectations... (Published 2024-03-10)"
"Fantastic course! The content is well-structured... (Published 2024-01-28)"
"This course was a significant disappointment. The material felt rushed in some areas, and the explanations were often high-level... (Published 2023-07-01)"
Practical exercises and the final project are effective for skill retention.
"The hands-on exercises were practical and immediately applicable to real-world data scenarios. I now feel much more confident in my data preparation..."
"The final project was a brilliant way to consolidate all the learned skills. I've already applied many techniques to my work spreadsheets."
"Good practical course. The examples were relevant, and I learned several new functions that will save me a lot of time."
The section on PivotTables is consistently praised for its utility.
"...especially when tackling PivotTables and advanced formulas like VLOOKUP and INDEX/MATCH."
"The 'Working with Pivots' section was valuable, but I hoped for more advanced business intelligence applications..."
"The pivot table section was useful. However, I agree with others that it doesn't go very deep into advanced analytical methods."
Provides a solid, easily understandable base for business data analysis.
"This course exceeded my expectations for learning Excel for business analysis. The instructor's explanations were incredibly clear..."
"Excellent course for getting a strong grasp of Excel for business. The explanations are very clear, and the practical exercises reinforce learning effectively."
"Learned a lot about data organization and using functions efficiently. The course is well-organized and the concepts are presented logically."
Strong for novices but may lack depth for experienced Excel users.
"The course is generally good for absolute beginners. I have some prior experience with Excel, and found much of the initial content to be a review."
"I found this course somewhat basic for 'Business Analysts'. Many of the formulas and concepts covered are very foundational."
"A very solid foundation for using Excel in a business context... Still, it's a great starting point for beginners or those needing a refresher."

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 Data for Business Analysts Using Microsoft Excel with these activities:
Review basic algebra and trigonometry
Reinforce your understanding of algebra and trigonometry, which are essential foundations for data analysis in Excel.
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  • Review formulas and concepts from high school algebra.
  • Practice solving trigonometric equations and identities.
Seek mentorship from experienced Excel users
Accelerate your learning by connecting with experienced Excel users who can provide guidance, share industry insights, and support your professional development.
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  • Identify potential mentors through professional networks or online platforms.
  • Reach out to mentors and express your interest in learning from them.
  • Establish regular meetings or communication channels to receive mentorship.
Participate in a study group to discuss Excel techniques
Enhance your learning experience by collaborating with peers, exchanging knowledge, and discussing different approaches to data analysis in Excel.
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  • Join or form a study group with other students.
  • Meet regularly to discuss course concepts and practice exercises.
  • Share resources and provide support to group members.
Five other activities
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Complete Excel exercises on data manipulation
Gain hands-on experience with Excel functions and techniques for data manipulation, enhancing your ability to prepare data for analysis.
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  • Download practice datasets from the course website.
  • Follow the instructions provided to complete the exercises.
  • Check your answers against the provided solutions.
Explore online tutorials on advanced Excel functions
Supplement your learning with self-paced online tutorials, delving deeper into advanced Excel functions and techniques to enhance your data analysis capabilities.
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  • Search for online tutorials on specific Excel functions.
  • Follow the tutorials step-by-step and practice using the functions.
  • Apply the learned functions in your own Excel projects.
Create a visual summary of Excel formulas
Strengthen your understanding of Excel formulas by creating a visual reference chart or infographic, consolidating key information for easy recall during data analysis.
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  • Identify the most common and important Excel formulas.
  • Design a visually appealing and informative chart or infographic.
  • Include examples and explanations for each formula.
Attend a workshop on advanced Excel data analysis techniques
Expand your knowledge and skills in Excel data analysis by attending a workshop led by industry experts, gaining insights into advanced techniques and best practices.
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Show steps
  • Research and identify relevant workshops.
  • Register and attend the workshop.
  • Actively participate and take notes during the workshop.
Develop a data analysis dashboard in Excel
Apply your skills in data analysis and Excel to create a practical dashboard, showcasing your ability to present data insights effectively.
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  • Choose a real-world dataset for your analysis.
  • Design and create visualizations to represent key data points.
  • Implement interactive features, such as filters and drill-downs.

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