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Data for Business Analysts Using Microsoft Excel

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. 

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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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Formula and functions
This module introduces formulas and functions in Excel. It explores how these are important to data analysis and how these are used in business scenarios.
Preparing data for analysis using functions
The module introduces common functions that help prepare Excel data for analysis in tools such as PowerBI.
Working with Pivots
In this module, you will learn essential skills in Microsoft Excel to enhance data manipulation and reporting capabilities. You’ll discover how to create dynamic data blocks using tables, allowing for flexible data organization and analysis. Additionally, you’ll learn how to create PivotTables, a powerful feature for summarizing and analyzing large datasets efficiently. Furthermore, you'll explore how to leverage PivotTables and slicers to create dynamic reports, providing insights and visualizations that adapt to changing data inputs. These techniques will empower you to efficiently manage and analyze data, enhancing your productivity and decision-making abilities in Excel.
Final project and assessment: Preparing data for analysis with MS Excel
In this module, you will be assessed on the key skills covered in the Course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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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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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Show steps
  • 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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Learners who complete Data for Business Analysts Using Microsoft Excel will develop knowledge and skills that may be useful to these careers:

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Course image
Effort
4 weeks of study, 3-5 hours/week
Level
Introductory
Via
Coursera
Institution
Microsoft
Instructor
Microsoft
Session
August 5, 2024 - September 16, 2024
Language
English
Transcripts
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Good to know
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
Share and help others discover this course.
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