Data and Statistics (For Business and Economics)

Data and Statistics (For Business and Economics), available at $19.99, has an average rating of 4.35, with 44 lectures, 2 quizzes, based on 50 reviews, and has 957 subscribers.

You will learn about 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 This course is ideal for individuals who are Economics and Statistics students, who would like to brush-up these concepts or were not taught these concepts in a detailed manner earlier or Students from Non-Statistics Background, who would like to learn how to make sense of data in a simple and intuitive manner or Professionals, who would like to make their data speak in an effective manner or Anyone else who would like to learn how to turn data into information It is particularly useful for Economics and Statistics students, who would like to brush-up these concepts or were not taught these concepts in a detailed manner earlier or Students from Non-Statistics Background, who would like to learn how to make sense of data in a simple and intuitive manner or Professionals, who would like to make their data speak in an effective manner or Anyone else who would like to learn how to turn data into information.

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Summary

Title: Data and Statistics (For Business and Economics)

Price: $19.99

Average Rating: 4.35

Number of Lectures: 44

Number of Quizzes: 2

Number of Published Lectures: 39

Number of Published Quizzes: 2

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 41

Original Price: $39.99

Quality Status: approved

Status: Live

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

Target Audiences

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

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..!�

Course Curriculum

Chapter 1: Data – Types and Collection

Lecture 1: Data and Information

Lecture 2: Types of data – Qualitative and Quantitative

Lecture 3: How to collect data?

Lecture 4: Some more practice!

Lecture 5: Solution to Practice Questions

Chapter 2: How to make sense of Qualitative Data?

Lecture 1: Frequency Distribution

Lecture 2: Relative Frequency and Percent Frequency Distributions

Lecture 3: How to construct Frequency Distribution using MS Excel

Lecture 4: Using Bar Graphs to present the data

Lecture 5: How to construct Bar Graph for Qualitative Data using MS Excel

Lecture 6: Pie Charts

Chapter 3: Summarizing Quantitative Data using tabular and graphical methods

Lecture 1: Discrete Frequency Distribution

Lecture 2: Basic Principles for forming a Grouped Frequency Distribution

Lecture 3: Ungrouped Frequency Distribution for Discrete Data using MS Excel

Lecture 4: Grouped Frequency Distribution for Discrete Data using MS Excel

Lecture 5: Relative Frequency and Percent Frequency Distributions

Lecture 6: Continuous Frequency Distribution

Lecture 7: Simple Bar Graph and Multiple Bar Graph using MS Excel

Lecture 8: Histogram Explained

Lecture 9: Histogram – Case when you have inclusive classes

Lecture 10: Grouped Frequency Distribution for Continuous Data and Histogram using MS Excel

Lecture 11: Cumulative Frequency and Cumulative Percent Frequency Distributions

Lecture 12: Pie charts – How good are they?

Lecture 13: Get your audience's attention : Make the most of graphs and charts

Chapter 4: Applications

Lecture 1: Application – 1

Lecture 2: Application – 2 (Unsolved)

Chapter 5: Measures of Central Tendency

Lecture 1: Introduction to Central Tendency

Lecture 2: Sample and Population

Lecture 3: Mean

Lecture 4: Why is 'Mean' so popular as a measure

Lecture 5: How to calculate mean : Ungrouped Frequency Distribution Case

Lecture 6: How to calculate mean : Grouped Data Case

Lecture 7: Weighted mean

Lecture 8: Mean and Weighted Mean using MS Excel

Lecture 9: Median

Lecture 10: Mode

Lecture 11: Mean, Median, Mode – Which is best?

Lecture 12: Median and Mode using MS Excel

Lecture 13: Bonus Lecture

Instructors

Shubham Kalra
Author, Founder and Econometrics Tutor at Eduspred

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 8 votes
4 stars: 19 votes
5 stars: 21 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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