Excel Data Visualization Course | Data Visualization Excel Full Course | Excel | Simplilearn

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This video by simplilearn is based on excel data visualisation course. Excel data visualization involves transforming raw data into graphical representations like charts, graphs, and dashboards. These visual tools help identify trends, patterns, and outliers, making complex datasets easier to understand. Here are the topics covered

[00:06 - 00:11] Course Introduction to Excel
[00:11 - 00:17] How to Subscribe and Support the Channel
[01:52 - 01:59] What is Data Visualization?
[02:56 - 03:02] Importance of Visualization for Decision-Making
[06:11 - 06:16] Defining Data Visualization
[09:34 - 09:40] Exploring Line Charts in Excel
[12:26 - 12:32] Analyzing Bar Charts
[18:05 - 18:12] Creating Map Charts for Data
[25:01 - 25:09] Data Transformation in Excel
[36:02 - 36:08] Conclusion and Next Session

-- Frequently Asked Questions

✅ Question 1) Can Excel be used for data visualization?
Answer: Data visualization in Excel refers to the graphical representation of data using various charts, graphs, and other visual elements.

✅ Question 2) What is the best visualization tool for Excel?
Answer: The Best Data Visualization Software of 2024.
1. Microsoft Power BI.
2. Tableau.
3. Qlik Sense.

✅ Question 3) How to make Excel data visually appealing?
Answer: How to format an Excel spreadsheet to look professional.
1. Align text left or right. It's tempting to center the text in some cells, particularly those that serve as headers. ...
2. Leave the first row and column empty.
3. Remove cell borders.
4. Limit colors in your Excel spreadsheet.
5. Share your Excel spreadsheets as PDF files.

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➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

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✅ Skills Covered
Data Analytics
Statistical Analysis using Excel
Data Analysis using Python and R
Data Visualization Tableau and Power BI
Linear and logistic regression modules
Clustering using KMeans
Supervised Learning
Unsupervised Learning



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