Data Analysis with Excel

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Data Analysis with Excel provides a practical guide to mastering the most essential data management, manipulation, and analysis techniques using Microsoft Excel. You'll gain proficiency in Excel's powerful capabilities, progressing through data analysis methods, and creating dynamic visualizations and interactive dashboards. By the end, you'll learn to automate reporting and apply advanced analytics, equipping you to make informed, data-driven decisions efficiently.

Course

Gain insight into a topic and learn the fundamentals

4.7

(9)

Intermediate

Recommended experience

15 chapters

Flexible schedule

Learn at your own pace

View course modules

Outcomes

Learning outcomes

Modules

Testimonial

Recommendations

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FAQs

What you will learn

Efficiently import and manage data from various sources like CSV files.
Clean and transform data to correct anomalies and prepare data for analysis.
Use advanced Excel functions and Pivot Tables for complex data analysis and conditional operations.
Create impactful visual representations of data through dynamic charts.

Details to know

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Assessments26 assignments

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You want to escape the 9-to-5 grindOur course provides the skills needed to transition into freelancing or remote work, giving you the freedom to work on your terms.

You’re passionate about continuous learningStay ahead in the rapidly evolving IT field with our comprehensive course. It’s designed for lifelong learners who want to continuously enhance their skills and knowledge.

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There are 6 modules in this course

Learn how to import, clean, and transform data with advanced Excel functions to prepare datasets for in-depth analysis. Master techniques to navigate complex data with lookup functions.

Delve into the core of Excel's analytical power by mastering conditional analyses, statistical functions, and PivotTables. This section teaches you how to extract meaningful insights from large datasets using a variety of analytical tools.

Gain the skills to create statistical charts to build interactive dashboards that communicate data visually. Learn to automate repetitive tasks and generate reports efficiently, enhancing productivity and data interaction.

It covers correlation analysis to determine relationships between variables using Pearson’s correlation coefficient, linear regression to explore variable relationships, the addition of trendlines for pattern analysis in forecasting, and the use of t-tests and z-tests in hypothesis testing to evaluate statistical significance.

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Including 30 out of top-30 U.S. colleges

Why people choose Codefinity for their career

Kwizera Mugisha

The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox

My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner

I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan

As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea

I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening

The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.

Learner reviews

4.7

9 reviews

67%

33%

Showing 3 of 9 reviews

Daniel Husted

Reviewed on Nov 3, 2024

Excellent

Олег Густера

Reviewed on Oct 31, 2024

Kintara Brewster

Reviewed on Oct 31, 2024

Recommended if you're interested in learning Excel

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