Data and Statistics (For Business and Economics)
What you'll 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
Requirements
- No prior knowledge of Statistics is required (This is a basic level course)
- Basic knowledge of Excel (Preferred, not necessary)
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..!
Who this course is for:
- 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
Instructor
- 4.4 Instructor Rating
- 775 Reviews
- 14,579 Students
- 9 Courses
Author of four e-books on Amazon (two for Statistics and two for Econometrics). I have 3500+ hours of teaching experience in the field of Microeconomics, Statistics and Econometrics. I became an online tutor in 2015 and have been teaching full time since then. I have worked with students who were complete beginners, as well as those who were facing challenges in mastering advanced topics.
I completely understand the initial struggle in decoding the concepts and formulas. I am adept in breaking down difficult concepts with the use of simple examples. I don't encourage memorisation and simply recalling the formulas, instead, I focus on the 'why' and 'how'.
I understand that every student has a different way of understanding things. Some students understand the concepts when explained through analogies, others when shown mathematical foundation behind them. I modify my teaching methodology depending on what the student is comfortable with.
I have worked with students from 90+ universities. Here are some of the courses I have catered to:
6012B0453Y : Econometrics (Amsterdam School of Economics)
EC226: Econometrics (University of Warwick)
EC203: Applied Econometrics (University of Warwick)
MG205: Econometrics - Theory and Applications (LSE)
EC3301: Statistics and Econometrics (University of St Andrews)
ECON W3412: Introduction to Econometrics (Columbia University)
BEE2031: Econometrics (University of Exeter)
Econometrics: University of Birmingham
BEE2006: Statistics and Econometrics (University of Exeter)
EC3303 : Statistics and Econometrics (University of St. Andrews)
EC304: Empirical Economic Analysis II (Boston University)
FR2202: Financial Econometrics (Cass Business School)
EC220: Introduction to Econometrics (LSE)
EC221: Introduction to Econometrics (LSE)
5SSMN932: Introduction to Econometrics (King’s College London)
5QQMN938 : Intermediate Econometrics (King’s College London)
5SSPP213: Econometrics (King’s College London)
BEE1023 : Introduction to Econometrics (University of Exeter)
6012B0212: Econometrics (Amsterdam School of Economics)