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Excel Power Tools for Data Analysis

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Excel Power Tools for Data Analysis

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Gain insight into a topic and learn the fundamentals.
4.9

1,331 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
97%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.9

1,331 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
97%
Most learners liked this course

What you'll learn

  • Master Power Query to automate data import and transformation

  • Utilize Power Pivot and DAX for advanced data modeling and analytics

  • Create interactive reports and dashboards using Power BI

  • Handle large datasets efficiently, overcoming Excel's traditional limits

Details to know

Shareable certificate

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Assessments

28 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Excel Skills for Data Analytics and Visualization Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

Unlock the full potential of Excel for advanced data analysis with this four-week course. Designed for aspiring data analysts and business professionals, you'll master Microsoft's powerful tools: Power Query, Power Pivot, and Power BI. This program will transform your ability to handle, analyze, and visualize large datasets, moving beyond traditional spreadsheet limitations.

By the end of this course, you will be able to: * Automate data import and transformation using Power Query. * Perform advanced data modeling and analytics with Power Pivot and DAX. * Create dynamic, interactive reports and dashboards in Power BI. * Efficiently manage and analyze millions of rows of data within Excel. To succeed, we recommend prior experience with Excel fundamentals and data visualization, ideally from our 'Data Analytics and Visualization' Specialization. This course is designed for Excel 2016 and later, with Office 365 recommended for optimal experience. Please note: Power Query, Power Pivot, and Power BI Desktop are Windows-only.

Welcome to your journey into Excel Power Tools for Data Analysis! In this introductory module, you'll get a comprehensive overview of how Power Query, Power Pivot, and Power BI will revolutionize your data handling. You will learn to import and transform data efficiently, work with massive datasets, and create compelling interactive reports. This material will orient you to the course's structure and goals. We encourage you to reflect on your learning objectives and share them with your peers to maximize your experience.

What's included

3 readings

3 readingsβ€’Total 35 minutes
  • Welcome to Excel Power Tools for Data Analysisβ€’15 minutes
  • Course goals and weekly learning objectivesβ€’10 minutes
  • Important information about versions and regionsβ€’10 minutes

Ready to begin your data analysis journey? This module focuses on the crucial first steps: importing and combining data. You'll discover how to leverage Excel's powerful Get and Transform feature, also known as Power Query, to efficiently bring data from various sources into your workbook. Learn the different methods for combining datasets to meet your specific data analysis needs. To get the most out of this module, try importing data from a new source each week.

What's included

9 videos4 readings8 assignments

9 videosβ€’Total 55 minutes
  • Week 1 Introductionβ€’4 minutes
  • Introduction to Power Queryβ€’6 minutes
  • Get and transform data from Excelβ€’6 minutes
  • Get data from a databaseβ€’5 minutes
  • Get data from a folderβ€’8 minutes
  • Append queries with 2 datasetsβ€’5 minutes
  • Append queries with 3 or more datasetsβ€’7 minutes
  • Merge queries β€” Left Outer joinβ€’6 minutes
  • Merge queries β€” Inner and Anti joinsβ€’8 minutes
4 readingsβ€’Total 55 minutes
  • Read me before you start: Quizzes and Navigationβ€’10 minutes
  • Download the Week 1 workbooksβ€’5 minutes
  • Week 1 Practice Challengeβ€’30 minutes
  • Week 1 Toolboxβ€’10 minutes
8 assignmentsβ€’Total 80 minutes
  • Introduction to Power Queryβ€’10 minutes
  • Get and transform data from Excelβ€’10 minutes
  • Get data from a databaseβ€’10 minutes
  • Get data from a folderβ€’10 minutes
  • Append queries with 2 datasetsβ€’10 minutes
  • Append queries with 3 or more datasetsβ€’10 minutes
  • Merge queries β€” Left Outer joinβ€’10 minutes
  • Merge queries β€” Inner and Anti joinsβ€’10 minutes

Welcome to the exciting world of data transformation! Building on your data import skills, this module dives into how you can reshape your data for analysis. You'll learn to pivot data between wide and long formats, group information, and split columns using Power Query's powerful features. These techniques are crucial for preparing your datasets for accurate and insightful analysis. To succeed, practice each transformation step as you learn.

What's included

7 videos4 readings6 assignments

7 videosβ€’Total 51 minutes
  • Week 2 Introductionβ€’2 minutes
  • Applying transformations with the Query Editorβ€’8 minutes
  • Unpivoting dataβ€’9 minutes
  • Pivoting data in the Query Editorβ€’4 minutes
  • Grouping dataβ€’7 minutes
  • Working with columns in Office 365β€’11 minutes
  • Working with columns in Excel 2016β€’9 minutes
4 readingsβ€’Total 50 minutes
  • Download the Week 2 workbooksβ€’5 minutes
  • Working with columns β€” difference in versionsβ€’5 minutes
  • Week 2 Practice Challengeβ€’30 minutes
  • Week 2 Toolboxβ€’10 minutes
6 assignmentsβ€’Total 95 minutes
  • Test your skills: Weeks 1 and 2β€’45 minutes
  • Applying transformations with the Query Editorβ€’10 minutes
  • Unpivoting dataβ€’10 minutes
  • Pivoting data in the Query Editorβ€’10 minutes
  • Grouping dataβ€’10 minutes
  • Working with columnsβ€’10 minutes

Ever hit Excel's 1 million row limit? This module introduces the powerful Data Model in Excel, allowing you to analyze millions of rows of data, limited only by your computer's memory. You'll learn to define database-like relationships between tables and visualize your data using Power Pivot and advanced cube functions. Master creating dynamic PivotTables from these robust data models. For best results, practice building complex data relationships.

What's included

7 videos3 readings7 assignments

7 videosβ€’Total 61 minutes
  • Week 3 Introductionβ€’7 minutes
  • Adding data to the Data Modelβ€’8 minutes
  • Data Modellingβ€’9 minutes
  • Analysing data with Power Pivotβ€’9 minutes
  • Visualising data with Power Pivot and Cube Functionsβ€’9 minutes
  • Introduction to DAX measuresβ€’9 minutes
  • Applying Time Intelligence and CALCULATEβ€’9 minutes
3 readingsβ€’Total 45 minutes
  • Download the Week 3 workbooksβ€’5 minutes
  • Week 3 Practice Challengeβ€’30 minutes
  • Week 3 Toolboxβ€’10 minutes
7 assignmentsβ€’Total 125 minutes
  • Test your skills: Week 3β€’45 minutes
  • Adding data to the Data Modelβ€’10 minutes
  • Data Modellingβ€’10 minutes
  • Analysing data with Power Pivotβ€’10 minutes
  • Visualising data with Power Pivot and Cube Functionsβ€’10 minutes
  • Introduction to DAX measuresβ€’10 minutes
  • Applying Time Intelligence and CALCULATEβ€’30 minutes

Get ready to elevate your data presentation! In this module, we transition from Excel to Power BI, Microsoft's leading Business Intelligence tool. You'll apply your foundational skills from Power Query and DAX to design and build dynamic, interactive reports and dashboards. Learn to transform raw data into compelling visual stories and share your insights effectively. To master Power BI, experiment with different visualization types for your data.

What's included

7 videos3 readings7 assignments

7 videosβ€’Total 85 minutes
  • Week 4 Introductionβ€’3 minutes
  • Introducing Power BIβ€’15 minutes
  • Adding a Calendar using DAXβ€’14 minutes
  • Creating a Power BI reportβ€’15 minutes
  • Working with reportsβ€’14 minutes
  • Adding time intelligenceβ€’11 minutes
  • Sharing Power BI reportsβ€’13 minutes
3 readingsβ€’Total 45 minutes
  • Download the Week 4 workbooksβ€’5 minutes
  • Week 4 Practice Challengeβ€’30 minutes
  • Week 4 Toolboxβ€’10 minutes
7 assignmentsβ€’Total 105 minutes
  • Test your skills: Week 4β€’45 minutes
  • Introducing Power BIβ€’10 minutes
  • Adding a Calendar using DAXβ€’10 minutes
  • Creating a Power BI reportβ€’10 minutes
  • Working with reportsβ€’10 minutes
  • Adding time intelligenceβ€’10 minutes
  • Sharing Power BI reportsβ€’10 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings
4.9 (510 ratings)
Macquarie University
26 Coursesβ€’1,648,695 learners

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Learner reviews

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Showing 3 of 1331

YN
Β·

Reviewed on Feb 1, 2022

It was a good experience of learning on course era which helped me a lot to improve my technical skills and also I would like to learn more courses on course era in future.

MG
Β·

Reviewed on Oct 7, 2021

Very nice course. Learnt a lot. The instructors Nicky Bull and Dr Prashan S. M. Karunaratne were good. Helped me to develop my knowledge on excel.Thank YouMahesh Gokhale

QZ
Β·

Reviewed on Jun 2, 2023

Great explanation of every detail throughout the course. But I thought I'd let you know that there is a typo in the answer for the achieved % target in the Week 2 Practice challenge.

Frequently asked questions

This course focuses on Power Query and Power Pivot tools available in Microsoft Excel for Windows (Excel 2016 and later), with Office 365 recommended for the best experience.

Power Query is not available for Excel for Mac.

You will gain expertise in Microsoft Excel's Power Query for data transformation, Power Pivot for advanced data modeling and analytics, and Power BI for creating interactive data visualizations and dashboards.

While this course is part of a Data Analytics Specialization, it is designed to build upon foundational Excel skills. Basic familiarity with Excel is recommended, but no advanced data analysis experience is strictly required to start learning these powerful tools.

This course will significantly boost your business analytics capabilities by teaching you to automate data processes, perform complex financial analysis, and create compelling data visualizations. You'll learn to handle big data efficiently, making you a more effective data analyst.

You will learn to create dynamic and interactive data visualizations and dashboards using Power BI, transforming raw data into actionable insights. This includes building reports that effectively communicate complex data analysis.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,