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# Data and Statistics (For Business and Economics)

## Description

This Statistics course is your first step to learn how to make sense of piles of data using the graphical and numerical measures. It has students (from over 130 countries), including absolute beginners in Statistics and professionals from other fields. Here is what some of them have to say:

"Simple to understand and follow; graphics are clean and easy to read" ~ Linda Chisholm

"The instructor explained three different ways to calculate frequency in Excel." ~ Diane Dye

Course Description:

This Statistics course is designed for students and businesses who want to learn how to summarize data and communicate the results effectively. In this course, I will take you through the tabular, graphical and numerical methods that one can use to turn data into information using Microsoft Excel.

There are no prerequisites required to take this course as I will start all the concepts from scratch.

A glimpse of what you are going to learn in 3 hours

• Basics of Data - Collection Techniques and Types
• Tabular and Graphical methods available to summarize the data (along with their working in MS Excel) depending on what type of data we have
• Tips to use while deciding which chart type to choose for summarizing your data (Not every chart or graph is suitable for all kinds of data)
• Tips on how to get your audience's attention, how to make your data speak
• Applications to solidify your learning
• Numerical measures to summarize data
• Mean, Median, Mode - Which one is the best measure?

Still wondering if this course is useful?
Well, here is our take - Its better to spend a couple of hours learning how to summarize and present your data than spending days to try and make sense of the data without knowing these methods.

All that said, lets get started..!

#### What You Will Learn!

• Turn data into information
• Understand the graphical and tabular methods available to make your data speak
• Use MS Excel to summarize data
• Present your data in a manner so that your audience see what YOU want them to see
• Choose the right type of chart or numerical measure for your data type

#### Who Should Attend!

• Economics and Statistics students, who would like to brush-up these concepts or were not taught these concepts in a detailed manner earlier
• Students from Non-Statistics Background, who would like to learn how to make sense of data in a simple and intuitive manner
• Professionals, who would like to make their data speak in an effective manner
• Anyone else who would like to learn how to turn data into information

### Tags

• Data Analysis
• Data Visualization
• Economics
• Statistics

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