Data Analysis with Excel

Data Analysis with Excel

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1. Data Management and Manipulation

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.

Lookup Functions

2. Basic Data Analysis

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.

Conditional Functions

Statistical Functions

Challenge: Midterm Exam

3. Data Visualization and Automation

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.

Charting Techniques

Statistical Charting

4. Advanced Data Analytics Techniques

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.

Correlation Analysis

Regression Analysis

Building Trendlines and Forecasting

Hypothesis Testing

Course Content

Data Analysis with Excel

Data Analysis with Excel

1. Data Management and Manipulation

Data Import Data Cleanup Data Merging Lookup Functions

2. Basic Data Analysis

Conditional Functions Statistical Functions Pivot Tables Challenge: Midterm Exam

3. Data Visualization and Automation

Charting Techniques Statistical Charting Macros

4. Advanced Data Analytics Techniques

Correlation Analysis Regression Analysis Building Trendlines and Forecasting Hypothesis Testing

Charting Techniques

In this chapter, you will explore the fundamentals of Excel's charting capabilities, starting with the creation of basic dynamic charts like Bar and Line charts.

Effective visualization is key to understanding underlying data patterns and communicating insights clearly.

By mastering charting techniques, you can transform raw data into meaningful visual representations that are easy to interpret and act upon.

Task

Here is the data for you to process:

Create a Bar Chart that shows the total Units_Sold for each region. Use pivot tables to compile the necessary data.
Create a Line Chart that displays the daily average of Units_Sold for January. Utilize pivot tables to organize the data.
Feel free to customize both charts to your liking.

Note

To isolate data by month in the pivot table, integrate a slicer with the Months (Date) field.

The data shown in the video may differ from the data in the task's dataset, so ensure that your answer is based on the data from the downloadable file, not the video.

1. Which region has the highest total units sold?

2. Which elements of the chart can you customize?

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Section 3. Chapter 1

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