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Excel Power Tools for Data Analysis

Master Excel's advanced data analysis tools including Power Query, Power Pivot, and Power BI for handling large datasets.

Master Excel's advanced data analysis tools including Power Query, Power Pivot, and Power BI for handling large datasets.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Excel Skills for Data Analytics and Visualization Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.9

(1,087 ratings)

60,280 already enrolled

English

پښتو, বাংলা, اردو, 3 more

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Excel Power Tools for Data Analysis

This course includes

15 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Import and transform data using Power Query

  • Create data models and relationships in Power Pivot

  • Develop DAX measures for advanced analysis

  • Handle large datasets beyond Excel's normal limits

  • Build interactive reports and dashboards in Power BI

  • Automate data preparation workflows

Skills you'll gain

Power Query
Power Pivot
Power BI
Data Modeling
DAX
Data Analysis
Big Data
Data Transformation
Data Visualization
Business Intelligence

This course includes:

4.2 Hours PreRecorded video

28 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course explores Excel's powerful data analysis tools focusing on Power Query, Power Pivot, and Power BI. Students learn to automate data import processes, handle large datasets, create data models, and build interactive reports. The curriculum covers advanced topics including data transformation, DAX measures, time intelligence, and data visualization in Power BI. Through hands-on exercises, participants develop skills in managing and analyzing big data while creating professional business intelligence solutions.

Welcome and critical information

Module 1 · 50 Minutes to complete

Get and Transform (Power Query)

Module 2 · 3 Hours to complete

Transforming data in the Query Editor

Module 3 · 3 Hours to complete

Power Pivot and the Data Model

Module 4 · 3 Hours to complete

Visualising Data with Power BI

Module 5 · 3 Hours to complete

Fee Structure

Instructors

Dr Prashan S. M. Karunaratne
Dr Prashan S. M. Karunaratne

4.9 rating

404 Reviews

13,49,314 Students

28 Courses

Inspirational Lecturer in Commerce and Business Analytics with a Focus on Student Engagement

Dr. Prashan Karunaratne is an innovative lecturer in commerce, economics, and business analytics at Macquarie University, renowned for his catchphrase, #EveryoneSayWow. He is the course developer and instructor of the acclaimed Excel Skills for Business course, which received the Coursera Outstanding Educator Award for Student Transformation in 2018. Prashan has earned several teaching accolades, including the 2019 Outstanding Contribution to Student Learning award at the Australian Awards for University Teaching, recognizing his excellence in engaging and empowering students. In 2020, he was honored with the inaugural Australian Business Deans Council Award for Innovation and Excellence in Teaching and Learning. Prashan holds a PhD in Management – Learning & Teaching from Macquarie University and is the Course Director of the Bachelor of Commerce, the largest degree program at the university.

Nicky Bull
Nicky Bull

4.9 rating

16,710 Reviews

13,66,110 Students

25 Courses

Innovative Educator and Excel Expert at Macquarie University

Nicky Bull is a Lecturer and Lead Content Designer at Macquarie University, where she leverages her extensive experience in technology and education to empower students in their learning journeys. With 15 years of commercial experience as a computer programmer and analyst, along with over a decade dedicated to designing and delivering educational programs, Nicky has established herself as a dynamic corporate trainer and consultant. She is particularly known for her role as the lead content designer for the highly acclaimed "Excel Skills for Business" course, which received the Coursera Outstanding Educator Award for Student Transformation in 2018. Nicky's passion lies in enabling individuals to confidently use technology to enhance their professional skills.In addition to her teaching responsibilities, Nicky offers a variety of courses on Excel, including "Data Visualization in Excel," "Excel Fundamentals for Data Analysis," and several levels of "Excel Skills for Business." She holds a BSc Hons in Computer Science, a BA in English Literature, and a Postgraduate Certificate in Education, all from the University of the Witwatersrand in South Africa. Her commitment to fostering effective learning environments makes her a valuable asset to both her students and the broader educational community.

Excel Power Tools for Data Analysis

This course includes

15 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.9 course rating

1,087 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.