Mô tả

>>> 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 apply 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 by doing manual calculations 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 benefited 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.

Bạn sẽ học được gì

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.

Yêu cầu

  • You should have some basic understanding of Microsoft Excel.

Nội dung khoá học

11 sections

Statistics Introduction and Definitions

2 lectures
Introduction and Welcome
04:37
Statistics Defined
04:59

Basics of Statistics and Microsoft Excel

13 lectures
Section Introduction - Basics of Statistics and Excel
01:40
Excel Interface (Excel)
06:28
Types of Data in Excel - Text, Numbers, Date/Time, Logical (Excel)
08:45
Qualitative vs Quantitative Data / Continuous vs Discrete (Theory)
04:37
Measurement Scales - Nominal, Ordinal, Interval & Ratio (Theory)
12:04
Basic Statistical Terms - Population and Sample (Theory)
06:39
Understanding Data Types in mtcars Dataset (Excel)
07:58
Understanding Formulas and Functions (Excel)
05:12
Applying Formula to Convert Car Weights from lb to kg (Excel)
05:17
Relative vs Absolute Reference (Excel)
06:05
Basic Formulas, Functions and Named Ranges (Excel)
14:44
More Functions (Excel)
23:30
Quiz 1 - Basics of Statistics and Excel
6 questions

Descriptive Statistics

10 lectures
Section Introduction - Descriptive Statistics
01:47
Descriptive Statistics (Theory)
04:29
Descriptive Statistics - Central Tendency (Theory)
12:14
Descriptive Statistics - Variation (Theory)
11:36
Installing Data Analysis Pack and Calculating Descriptive Statistics (Excel)
07:51
Descriptive Statistics - Central Tendency (Excel)
10:17
Descriptive Statistics - Variation (Excel)
07:02
Descriptive Statistics - Shapes (Theory and Excel)
11:55
Arrays (Excel)
17:21
Quiz 2 - Descriptive Statistics
11 questions

Data Visualization

9 lectures
Section Introduction - Three commonly used Charts
02:02
Histogram (Theory)
04:04
Create Histogram (Excel)
07:58
Histogram Shapes (Theory)
06:28
Box and Whisker Chart (Theory)
04:07
Create Box and Whisker Plot (Excel)
02:57
Scatter Diagram (Theory)
03:29
Create Scatter Plot using Excel
08:01
Quiz 3- Data Visualization
5 questions

Basic Probability Concepts

7 lectures
Section Introduction - Basics Probability Concepts
01:34
Basic Probability Concepts - Part 1 (Theory)
07:48
Basic Probability Concepts - Part 2 (Theory)
09:36
Basic Probability Concepts - Part 3 (Theory)
16:18
Basic Probability Concepts - Part 4 (Theory)
06:25
Calculate Factorial, Permutations and Combinations (Excel)
15:47
Quiz 4 - Basic Probability Concepts
4 questions

Probability Distributions

13 lectures
Section Introduction - Probability Distributions
02:02
Central Limit Theorem (Theory)
14:59
Central Limit Theorem Demonstration (Excel)
13:55
Normal Probability Distribution (Theory)
19:35
Normal Probability Distribution (Excel)
15:01
Binomial Probability Distribution (Theory)
16:19
Binomial Probability Distribution (Excel) - 1
12:45
Binomial Probability Distribution (Excel) - 2
06:47
Other Distributions Related to Binomial Distribution (Theory)
12:37
Other Distributions Related to Binomial Distribution (Excel)
11:10
Poisson Distribution (Theory)
06:16
Poisson Distribution (Excel)
07:54
Quiz 5 - Probability Distributions
11 questions

Hypothesis Testing

40 lectures
Section Introduction - Hypothesis Testing
04:17
Hypothesis Testing - Types of Errors
15:39
Quiz 6 - Types of Errors
3 questions
Hypothesis Testing Explained
13:06
Quiz 7 - Hypothesis Testing Basics
3 questions
Tests for Mean, Variance and Proportions - Introduction
04:47
One Sample z Test (Theory)
07:07
One Sample z Test - Introduction (Excel)
09:06
One Sample z Test - Two Tail Example (Excel)
05:44
One Sample z Test - One Tail Example (Excel)
07:50
Understanding the p Value (Theory)
04:10
One Sample t Test (Theory)
06:18
One Sample t Test - Introduction to T Functions (Excel)
13:54
One Sample t Test - Example (Excel)
05:49
One Sample p Test (Theory)
08:03
One Sample p Test (Excel)
07:58
Quiz 8 - One Sample Tests
7 questions
Two Sample z Test (Theory)
13:15
Two Sample z Test (Excel)
08:01
Two Sample t Test (Theory)
08:45
Two Sample t Test - Equal Variance (Theory)
13:47
Two Sample t Test - Equal Variance (Excel)
04:32
Two Sample t Test - Unequal Variance (Theory)
05:38
Two Sample t Test - Unequal Variance (Excel)
04:08
Two Sample t Test - Paired t Test (Theory)
08:20
Two Sample t Test - Paired t Test (Excel)
04:02
Two Sample p Test - Introduction (Theory)
06:17
Two Sample p Test - Example (Excel)
03:44
Quiz 9: Two Sample Tests
3 questions
Tests for Variance (F and Chi Square) - Introduction
05:22
F Test to Compare Variances
11:03
Plotting F Distribution in Excel
05:38
F Distribution Related Functions in Excel
06:44
F.TEST Function in Excel
04:54
F Test Using Data Aanalysis Pack
03:46
Chi Square Test for Variance
05:46
Plotting Chi Square Distribution in Excel
05:57
Chi Square Distribution Related Functions in Excel
05:55
Chi Square Test Example using Excel
03:42
Quiz 10: Other Tests
3 questions

ANOVA - Analysis of Variance

9 lectures
Section Introduction - ANOVA
03:12
Why do you need ANOVA?
09:02
Understanding the concept behind ANOVA without doing any calculation.
11:29
Formulas and calculations in ANOVA
05:12
Performing ANOVA with manual calculations
14:46
Performing ANOVA using Microsoft Excel
03:39
Two Factor ANOVA without Replication (Excel)
08:18
Two Factor ANOVA with Replication (Excel)
09:25
Quiz 11 - ANOVA
6 questions

Goodness of Fit and Contingency Table

6 lectures
Section Introduction - Goodness of Fit and Contingency Tables
00:50
Goodness of Fit Test (Theory)
10:56
Goodness of Fit Test (Excel))
06:52
Contingency Table (Theory)
09:20
Contingency Table (Excel)
09:54
Quiz 12 - Goodness of Fit
4 questions

Correlation and Linear Regression

16 lectures
Section Introduction - Correlation and Regression
03:19
Introduction to Correlation
04:12
Correlation Coefficient - Manual Calculation
06:32
Plotting Scatter Plot and Calculating Correlation Coefficient (Excel)
04:12
Correlation Coefficient for Mutliple Variables (Excel)
08:08
Correlation Related Functions (Excel)
04:13
Correlation Coefficient - Summary
05:08
Correlation vs Causation
03:32
Coefficient of Determination
02:47
Regression Equation - Manual Calculation
10:30
Regression Related Functions - Slope, Intercept (Excel)
04:04
Regression Related Functions - Forecast.Linear (Excel)
04:17
Regression Related Functions - Trend (Excel)
05:09
Regression Related Functions - Linest (Excel)
02:59
Regression using Data Analysis Pack (Excel)
06:32
Quiz 13 - Correlation and Regression
8 questions

Conclusion

2 lectures
Download Slides
00:01
BONUS LECTURE
00:55

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