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Business Intelligence and Data Visualisation in Excel 365
Rating: 4.4 out of 5(183 ratings)
4,110 students

Business Intelligence and Data Visualisation in Excel 365

Learn Power Pivot, Pivot Tables, Pivot charts, solver, what if analysis and more
Created byRicky Lahiri
Last updated 4/2024
English

What you'll learn

  • Business Intelligence in Excel
  • Advanced Excel Applications
  • Advanced Data Visualisation in Excel
  • Creating Dashboards in Excel
  • Power Query in Excel
  • Power Pivot in Excel
  • Pivot Charts and Tables in Excel
  • What-if-analysis, solver and forecasting using Excel
  • Data Analysis using Excel

Course content

8 sections10 lectures1h 39m total length
  • Power Query13:19

    Students will learn how to import, combine, and transform data using power query.

Requirements

  • Basic Excel skills
  • Basic Mathematics
  • Basic understanding of data plots and charts
  • Eagerness to learn

Description

The course - Business Intelligence and Data Visualisation in Excel 365- is designed to teach  excel applications for business intelligence, data visualisation and data analysis to prospective business intelligence analysts, business analysts and those who want to learn how to conduct business intelligence analysis and data analysis in Excel. The course covers all the key business intelligence, data visualisation and data analysis tools that Excel has to offer. And these tools are taught using practical, hands on demonstrations using sample data in Excel. Students will not only learn advanced Excel business intelligence tools but also learn how to analyse and study trends in data. The course will equip students with skills in business intelligence and will teach students how to study, understand and interpret data using Excel. The course will also equip students with advanced data visualisation and data analysis tools. The following topics are covered in the course:

1. Power Query

2. Pivot tables and charts.

3. Power pivot

4. Excel Dashboards

5. Forecasting

6. What-if-analysis

7. Solver

8. Descriptive Statistics

9. Correlation Analysis

10. Regression Analysis


The course has a project at the end of the course. In this project students will deal with data on an apple refurbished product seller, provided by the instructor, and will do the following analysis:

1. Import data with Power Query and transfer the data. This step will involve assigning formatting data.

2. Students will generate pivot charts.

3. Students will create an Excel Dashboard using pivot charts.

4. Students will submit the dashboards.

Who this course is for:

  • People interested in learning Excel for Business Analysis
  • People interested in learning Excel for Business Intelligence
  • People interested in learning advanced Excel applications
  • People interested in learning data analysis and visualisation using Excel
  • People interested in learning power pivots, power queries, and pivot charts and tables in Excel
  • People interested in embarking on a business intelligence and analyst career