Statistics Using Excel

Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma

Last updated 2022-01-10 | 4.6

- You will learn Descriptive and Inferential Statistics with the help of simple but practical examples.
- You will learn to use the power of Microsoft Excel to perform statistical calculations for you. No need to remember long formulas and equations.
- You will understand statistics from basic to advance level to solve business problems using Microsoft Excel.

What you'll learn

You will learn Descriptive and Inferential Statistics with the help of simple but practical examples.
You will learn to use the power of Microsoft Excel to perform statistical calculations for you. No need to remember long formulas and equations.
You will understand statistics from basic to advance level to solve business problems using Microsoft Excel.
You will learn to make sense out of vast amount of data around you
to make fact based decisions.

* Requirements

* You should have some basic understanding of Microsoft Excel.

Description

Start loving data and making sense of it. Leverage the power of MS Excel to make it easy!

Learn statistics, and apply these concepts in your workplace using Microsoft Excel.

This course is about Statistics and Data Analysis. The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concepts. Various examples and data sets are used to explain the application.

I will explain the basic theory first, and then I will show you how to use Microsoft Excel to perform these calculations.
The following areas of statistics are covered:

Descriptive Statistics - Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation

Data Visualization - 3 commonly used charts: Histogram, Box and Whisker Plot and Scatter Plot
Probability - Basic Concepts, Permutations, Combinations
Population and Sampling

Probability Distributions - Normal, Binomial and Poisson Distributions
Hypothesis Testing - One Sample and Two Samples - z Test, t-Test, p Test, F Test, Chi-Square Test

ANOVA - Perform Analysis of Variance (ANOVA) step by step doing manual calculation and by MS Excel.


What are other students saying about this course?

  • Very structured and clear lessons on how each excel function can be used for different statistical analysis. I have benefitted tremendously from attending this course. (5 stars by Kang Han Qi)

  • I have learned a lot already and it is still a long way to go! (5 stars by Dennis Dominic Mendoza)

  • Great course, great synergy between theory and practical used. (5 stars by Patrick Silangit)

  • .... this is awesome and really easy to understand the statistical concepts without any stress for a guy like me who used to fail in math classes. (5 stars by Lester Deepak Martis)

  • He's better than all my university lecturers, very clear, concise and seamless progression of the evolution of concepts in a systematic way that makes it easy to understand...Bravo!!  (5 stars by Ayanda Peter)

  • A well-planned curriculum, fantastic resources for downloads, professionally presented slides, very easy to understand, truly the best course for every financial analyst.  (5 stars by Arumugam K Chandrasekar)

  • I am fan of his teachings. it is recommended to every other person who is not confident in Statistics and want to be a pro. (5 stars by Apnatav Bhatia)

  • Its more than my expectations, absolutely wonderful since it start with basics. (5 stars by Boikaego Raditlatla)

  • Great course for learning business statistics or statistics in general. (5 stars by Sudesh Pandey)

  • Brilliant course. Takes the difficult, sometimes even boring Statistics model and breaks them into easy bite size portions. Explains the theory behind it and then the Excel way of doing it. (5 stars by Karthikeyan Stalin)

  • The self study step by step and the excel examples are very great. I can follow the course and practice on my computer alongside. Thank you for putting this whole thing together. Not a very exciting subject to teach so I appreciate being able to put this long course together to make it easy for people like us to utilize and study. (5 stars by Dr Stanley Adjabeng)


What are you waiting for?

This course comes with Udemy's 30 days money-back guarantee. If you are not satisfied with the course, get your money back.

I hope to see you on the course.

Who this course is for:

  • Business managers and data analysts who are trying make decision based on data and facts
  • Six Sigma Green and Black Belt professionals using MS Excel to conduct statistical analysis

Course content

11 sections • 121 lectures

Section Introduction - Basics of Statistics and Excel Preview 01:40

Excel Interface (Excel) Preview 06:28

Types of Data in Excel - Text, Numbers, Date/Time, Logical (Excel) Preview 08:45

Qualitative vs Quantitative Data / Continuous vs Discrete (Theory) Preview 04:37

Measurement Scales - Nominal, Ordinal, Interval & Ratio (Theory) Preview 12:04

Basic Statistical Terms - Population and Sample (Theory) Preview 06:39

Understanding Data Types in mtcars Dataset (Excel) Preview 07:58

Understanding Formulas and Functions (Excel) Preview 05:12

Applying Formula to Convert Car Weights from lb to kg (Excel) Preview 05:17

Relative vs Absolute Reference (Excel) Preview 06:05

Basic Formulas, Functions and Named Ranges (Excel) Preview 14:44

More Functions (Excel) Preview 23:30

Practice Activity - Basics of Statistics and Excel - Quiz 1

Section Introduction - Descriptive Statistics Preview 01:47

Descriptive Statistics (Theory) Preview 04:29

Descriptive Statistics - Central Tendency (Theory) Preview 12:14

Descriptive Statistics - Variation (Theory) Preview 11:36

Installing Data Analysis Pack and Calculating Descriptive Statistics (Excel) Preview 07:51

Descriptive Statistics - Central Tendency (Excel) Preview 10:17

Descriptive Statistics - Variation (Excel) Preview 07:02

Descriptive Statistics - Shapes (Theory and Excel) Preview 11:55

Arrays (Excel) Preview 17:21

Practice Activity - Descriptive Statistics - Quiz 2

Section Introduction - Three commonly used Charts Preview 02:02

Histogram (Theory) Preview 04:04

Create Histogram (Excel) Preview 07:58

Histogram Shapes (Theory) Preview 06:28

Box and Whisker Chart (Theory) Preview 04:07

Create Box and Whisker Plot (Excel) Preview 02:57

Scatter Diagram (Theory) Preview 03:29

Create Scatter Plot using Excel Preview 08:01

Practice Activity - Data Visualization - Quiz 3

Section Introduction - Basics Probability Concepts Preview 01:34

Basic Probability Concepts - Part 1 (Theory) Preview 07:48

Basic Probability Concepts - Part 2 (Theory) Preview 09:36

Basic Probability Concepts - Part 3 (Theory) Preview 16:18

Basic Probability Concepts - Part 4 (Theory) Preview 06:25

Calculate Factorial, Permutations and Combinations (Excel) Preview 15:47

Practice Activity - Basic Probability Concepts - Quiz 4

Section Introduction - Probability Distributions Preview 02:02

Central Limit Theorem (Theory) Preview 14:59

Central Limit Theorem Demonstration (Excel) Preview 13:55

Normal Probability Distribution (Theory) Preview 19:35

Normal Probability Distribution (Excel) Preview 15:01

Binomial Probability Distribution (Theory) Preview 16:19

Binomial Probability Distribution (Excel) - 1 Preview 12:45

Binomial Probability Distribution (Excel) - 2 Preview 06:47

Other Distributions Related to Binomial Distribution (Theory) Preview 12:18

Other Distributions Related to Binomial Distribution (Excel) Preview 11:10

Poisson Distribution (Theory) Preview 06:16

Poisson Distribution (Excel) Preview 07:54

Practice Activity - Probability Distributions - Quiz 5

Section Introduction - Hypothesis Testing Preview 04:17

Hypothesis Testing - Types of Errors Preview 15:39

Hypothesis Testing Explained Preview 13:06

Tests for Mean, Variance and Proportions - Introduction Preview 04:47

One Sample z Test (Theory) Preview 07:07

One Sample z Test - Introduction (Excel) Preview 09:06

One Sample z Test - Two Tail Example (Excel) Preview 05:44

One Sample z Test - One Tail Example (Excel) Preview 07:50

Understanding the p Value (Theory) Preview 04:10

One Sample t Test (Theory) Preview 06:18

One Sample t Test - Introduction to T Functions (Excel) Preview 13:54

One Sample t Test - Example (Excel) Preview 05:49

One Sample p Test (Theory) Preview 08:03

One Sample p Test (Excel) Preview 07:58

Two Sample z Test (Theory) Preview 13:15

Two Sample z Test (Excel) Preview 08:01

Two Sample t Test (Theory) Preview 08:45

Two Sample t Test - Equal Variance (Theory) Preview 13:47

Two Sample t Test - Equal Variance (Excel) Preview 04:32

Two Sample t Test - Unequal Variance (Theory) Preview 05:38

Two Sample t Test - Unequal Variance (Excel) Preview 04:08

Two Sample t Test - Paired t Test (Theory) Preview 08:20

Two Sample t Test - Paired t Test (Excel) Preview 04:02

Two Sample p Test - Introduction (Theory) Preview 06:17

Two Sample p Test - Example (Excel) Preview 03:44

Tests for Variance (F and Chi Square) - Introduction Preview 05:22

F Test to Compare Variances Preview 11:03

Plotting F Distribution in Excel Preview 05:38

F Distribution Related Functions in Excel Preview 06:44

F.TEST Function in Excel Preview 04:54

F Test Using Data Aanalysis Pack Preview 03:46

Chi Square Test for Variance Preview 05:46

Plotting Chi Square Distribution in Excel Preview 05:57

Chi Square Distribution Related Functions in Excel Preview 05:55

Chi Square Test Example using Excel Preview 03:42

Practice Activity - Hypothesis Testing - Quiz 6

Section Introduction - ANOVA Preview 03:12

Why do you need ANOVA? Preview 09:02

Understanding the concept behind ANOVA without doing any calculation. Preview 11:29

Formulas and calculations in ANOVA Preview 05:12

Performing ANOVA with manual calculations Preview 14:46

Performing ANOVA using Microsoft Excel Preview 03:39

Two Factor ANOVA without Replication (Excel) Preview 08:18

Two Factor ANOVA with Replication (Excel) Preview 09:25

Practice Activity - ANOVA - Quiz 7

Section Introduction - Goodness of Fit and Contingency Tables Preview 00:50

Goodness of Fit Test (Theory) Preview 10:56

Goodness of Fit Test (Excel)) Preview 06:52

Contingency Table (Theory) Preview 09:20

Contingency Table (Excel) Preview 09:54

Section Introduction - Correlation and Regression Preview 03:19

Introduction to Correlation Preview 04:12

Correlation Coefficient - Manual Calculation Preview 06:32

Plotting Scatter Plot and Calculating Correlation Coefficient (Excel) Preview 04:12

Correlation Coefficient for Mutliple Variables (Excel) Preview 08:08

Correlation Related Functions (Excel) Preview 04:13

Correlation Coefficient - Summary Preview 05:08

Correlation vs Causation Preview 03:32

Coefficient of Determination Preview 02:47

Regression Equation - Manual Calculation Preview 10:30

Regression Related Functions - Slope, Intercept (Excel) Preview 04:04

Regression Related Functions - Forecast.Linear (Excel) Preview 04:17

Regression Related Functions - Trend (Excel) Preview 05:09

Regression Related Functions - Linest (Excel) Preview 02:59

Regression using Data Analysis Pack (Excel) Preview 06:32