Data Analysis in Excel with Statistics: Get Meanings of Data
4.5 (65 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
646 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Data Analysis in Excel with Statistics: Get Meanings of Data to your Wishlist.

Add to Wishlist

Data Analysis in Excel with Statistics: Get Meanings of Data

Excel Data Analysis Training. Analyze your business data statistically using the features & functions of MS Excel 2013.
4.5 (65 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
646 students enrolled
Created by Kawser Ahmed
Last updated 2/2017
English
English
Curiosity Sale
Current price: $10 Original price: $95 Discount: 89% off
30-Day Money-Back Guarantee
Includes:
  • 7 hours on-demand video
  • 10 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Calculate Mean, Median, Mode, Minimum, Maximum, Quartiles, Variance and Standard Deviation from some numbers.
  • Get an idea about Central Limit Theorem.
  • Analyze a population using data samples.
  • Identify and minimize Margin of Errors
  • Group data, build XY charts, apply Logarithmic Scale and Trend Line on a chart, forecast from some data, and calculate running averages.
  • Formulate hypothesis, interpret your analysis, and get an idea of the limitations of building hypothesis.
  • Learn Normal Distribution, Exponential Distribution, Uniform Probabilities, Binomial Distribution, and Poisson Distribution.
  • Calculate Co-variance and Co-relation among data.
  • Perform Bayesian Analysis.
View Curriculum
Requirements
  • First, you must know how to gather and organize data efficiently. A business generates a lot of data and it is your duty to bring those data into Excel so you can perform your analysis with them.
  • Next, you should have a good grasp on creating and using Excel formulas. Most of the analysis in this course will involve Excel formulas. Specifically, you should be comfortable with creating relative, absolute and mixed formula referencing.
  • And finally, you should have a working knowledge of creating and modifying charts in Excel. Charts help to understand your data insight quickly.
Description

Teaching 11 Courses on Excel and Data Analysis!

OVER 25,000 visitors visit my blog ExcelDemy dot com every month!!

OVER 25,000 successful students have already taken my online courses since November, 2015 with 632 total Reviews!!!

Last updated: Feb 05, 2016 with 6 Case Studies!

**************************************************************************************

What students are saying about this course?

~ Very clear, concise explanation of basic and more advanced statistical Excel functions - Donna M Knapp

~ This is an excellent well taught course. The explanations are clear and concise. The course moves along a comfortable pace. I learned a lot from this course and shouldn't have any difficulty applying the concepts to future projects. Well done. - Bill Hengen

**************************************************************************************

Welcome to my brand new course on Data Analysis in Excel with Statistics: Get Meanings of Data.

I want to start with a quote from Daniel Egger. He is a professor at Duke University. 

He says: “No commercial for-profit company that is in a competitive market can remain profitable or even survive over the next five years without incorporating best practices for business data analytics into their operations.”

So learning how to analyze data will be the most valuable expertise in your career in next five years.

Excel will analyze and visualize data easily – this is why Excel is created and this is why Excel is the most popular spreadsheet program in the world. 

Microsoft Company has added new data analysis features, functions, and tools in every new version of Excel. 

Before going into the course: I want to warn you about something. Excel is a just a tool. To analyze data you will use this tool. But analyzing data requires that you know some basic statistics and probability theories. 

Most of the statistics and probability concepts that are necessary to analyze data effectively are covered in your undergraduate level courses. But in this course, at first I have discussed the theory at first, then I have advanced to teach you how to use that theory in business with the help of Excel.

Let’s discuss now what I will cover in this course. It is tough to build a course on data analysis using Excel as so many topics are there to be covered. So I have used the guidelines of Project Management Institute (PMI) to create this course. 

The topics I am going to cover in this course are:

  1. Overview of Data analysis: I will start with an overview of the data analysis. I will describe how you will calculate common measures of your data, I will introduce you to the central limit theory and then I will provide my advice for minimizing error in your calculations.
  2. Visualizing Data: Then I will teach you how to visualize your data using histograms, how to identify relationships among data by creating XY Scatter charts and forecast future results based on Existing data.
  3. Building Hypothesis: Then I will show you how to formulate a null and alternative hypothesis, how to interpret the results of your analysis and how to use the normal, binomial and Poisson distributions to model your data.
  4. Relationships between data sets: Finally I will show you how to analyze relationships between data sets using co-variance, how to identify the strength of those relationships through correlation and then I will introduce you to Bayesian analysis.
  5. Case Study: Summarizing Data by Using Histograms
  6. Case Study: Summarizing Data by Using Descriptive Statistics
  7. Case Study: Estimating Straight-line Relationships
  8. Case Study: Modeling Exponential Growth
  9. Case Study: Using Correlations to Summarize Relationships
  10. Case Study: Using Moving Averages to Understand Time Series

Analyzing Business data is a must need expertise for every employee of a company. Your company will not survive another five years if it does not take seriously business data. And you could be the best employee in your company to direct the business in the smartest way. So keep learning business data analysis with this course.

Who is the target audience?
  • Business professionals who regularly try to find out the insights from their data.
  • Statistics lovers like me who think people behavior can be measured with statistics.
  • Aspiring data analysts.
  • Want to add a new expertise in their CV
  • Not for someone who hates data and Excel :)
Students Who Viewed This Course Also Viewed
Curriculum For This Course
82 Lectures
06:55:53
+
Welcome to the Course!
4 Lectures 04:31
  1. Welcome to the course. The instructor of this course is thankful to you that you have joined in this course.
  2. Know which versions of Microsoft Excel has been used to create this course and get an idea which versions you can use to follow this course.
  3. Have an idea how to use this course to get the best from it.
Preview 03:20

Get an idea on what you should know before joining this course. You can call them the pre-requisites of this course.

What you should know before joining this course
00:24

Download the course resources from this lecture.

Download Course Resources from Here
00:13

Get to know how to instantly contact me when you face an Excel, Statistics or course related problems.

How to Get Support & Instantly Contact Me
00:33
+
[Essential Excel Knowledge 1] - Excel Formula Basics & Important Excel Functions
18 Lectures 02:05:16

In this video lecture,

  1. You will be introduced with the operators that are used by Excel.
  2. You will also learn how to use different operators in Excel.
Preview 10:28

The operators have working hierarchy. All the operators in a formula do not work at the same time.

In this lecture,

  • You have learned all about Excel operator precedence.
0202 Operator Precedence in Formulas
09:31

In this video lecture,

  • You will learn how to insert a built-in function into a formula.
0203 How Built in Excel Functions Make Your Job Easier
07:17

Excel is nothing but a word processor if you deduct Excel's capability to use functions. Functions are the hearts of Excel. In this video, you will learn how to insert Excel functions into a formula.

You will also learn how to use effectively Insert Function dialog box.

0204 Inserting Functions into Formulas Effectively
09:40

In this video lecture,

  1. You will learn with examples how relative referencing works in Excel formula.
0205 Relative Cell References - Using Relative Cell References to Copy Formulas
05:23

In this video lecture,

  • You will learn how to work with Circular Reference in Excel.
0206 Handling Circular References
03:23

In this video lecture,

  • You will learn how to give a name to a cell or a range.
0207 Using Named Cells and Ranges in the Formulas
07:48

In this video lecture,

  • You will learn how to give a name:
    • To a constant
    • And to a formula.
0208 Using Names for Constants & Formulas & Applying Names to Existing Reference
08:01

In this video lecture,

  • You will learn how to use Union (,) and Intersect ( ) operators in Excel.
0209 Union and Intersection of Ranges
05:28

In this video lecture,

  • You will learn about Excel’s one of the most important functions. The function is SUM function.
0210 SUM(...) Function - The Most Useful Function in Excel
07:51

In this video lecture,

  • You will learn Excel’s AVERAGE, MAX and MIN Functions.
0211 Mathematical Functions: Average(), Max() and Min()
06:54

In this video lecture,

  1. You will learn about 5 Excel important functions:
    1. INT
    2. MOD
    3. ROUND
    4. RAND
    5. And RANDBETWEEN Functions.
0212 Mathematical Functions: INT(), MOD(), ROUND(), RAND(), and RANDBETWEEN()
07:09

In this video lecture,

  • You will learn about three count related Excel functions. They are:
    • COUNT Function
    • COUNTA Function
    • COUNTBLANK Function.
0213 Count Functions in Excel
03:17

In this video lecture,

  1. You will learn
    1. How to make a 3D-Referencing,
    2. How 3D-Referecning works in different ways
    3. And how to define a name for a 3D-Reference.
0214 Learn About 3-D Reference in Excel
07:06

In this video lecture:

  1. You will be introduced to the basic concept of Excel array formula.
  2. You will learn how to enter array formula into cells in different ways.
  3. And you will learn how to edit array formula.
0215 Introducing Array Formulas - How to Enter Arrays into Worksheet Cells
07:35

In this video lecture:

  1. You will see in step by step by procedure how an array formula works internally in Excel.
  2. To demonstrate the process, I have used Excel’s AVERAGE() and IF() functions.
0216 Introducing Array Formulas - How to Create Array Formulas with Examples
05:42

In this video lecture,

  1. We shall learn the syntax and use of the INDEX() function.
  2. INDEX() function is the only function that has two types of syntax; you will work with both of them.
0217 INDEX(...) Function in Excel
08:11

VLOOKUP() is one of the top 10 Excel functions.

In this video lecture: you will learn VLOOKUP() function with multiple examples.

0218 VLOOKUP(...) Function in Excel
04:32
+
[Essential Excel Knowledge 2] - Excel Tables & Using Structured References
7 Lectures 56:31

Topics covered in this lecture

  1. In this video tutorial, you will learn the basics of a table.
  2. You will learn how to create a table.
  3. You will learn the differences between a table and a range.
0301 What is a Table? How a Table Differs from a Normal Range
06:42

Topics covered in this lecture

  1. In this video tutorial, you will learn how to Insert and Delete columns and rows in a table.
  2. You will also learn how to add Total Row in a table and how to work with the Total Row.
0302 Adding and Deleting Rows or Columns, and Working with the Total Row
07:22

In this video lecture, you will learn basically two topics:

  1. How to highlight duplicate values from a table or a range.
  2. And how to remove duplicate values from a table or a range.
0303 Removing Duplicate Rows from a Table or a Range
06:12

  1. In this video tutorial, you will learn how to Sort a Single Column or Multiple Columns of a Table.
  2. You will also Learn how to Filter a Column or Multiple Columns of a Table.
  3. And finally you will be introduced with the Custom Auto-filter dialog box that you can use to Filter more options.  
0304 Sorting and Filtering a Table and Introducing Custom AutoFilter
10:44

  1. In this video tutorial, you will learn how you can Insert Slicer to Filter a Table.
  2. You will learn how to Delete a Slicer.
  3. You will also learn how you can Remove Filtering from a Slicer.
  4. And you will be introduced with different Slicer Settings.
0305 Using Slicer to Filter a Table
04:16

In this video lecture,

  • You will learn all the ways to use structured references with Excel tables.
0306 Using Formulas in Tables - Summarizing and Referencing Data in a Table
12:44

In this video lecture,

  • You will learn how to use structured references in an Excel table.
0307 Use Structured References in Excel Tables
08:31
+
Foundational Concepts of Statistical Data Analysis
6 Lectures 39:12

To calculate centrality of a data set, you need to find out the Mean, Median and Mode values from a data set. This lecture will teach you how to calculate them using Excel functions.

0401 - Calculating Mean and Median Values
07:10

Calculating maximum, minimum, and quartile values from a data set is easy using Excel. This lecture will teach you those topics.

0402 - Measuring Maximums, Minimums, and Other Data Characteristics
06:01

Variance and Standard deviation are the two most important ways to figure out the  dispersion  of a data set. You will learn here not only how to calculate them, but also you will visualize them.

0403 - Analyzing Data Using Variance and Standard Deviation
10:35

In this lecture, you will get the concept of Central Limit Theorem with a real life example.

0404 - Introducing Central Limit Theorem
03:30

This lecture is very important. You will get a brief and effective method for analyzing a population using data samples. Get the concepts of this lecture very well.

Preview 08:34

Statistics is not a pure science. When you will come up with a decision using the principles of statistics, you have to keep in mind that your analysis might be wrong in many ways. This lecture will teach you to identify and minimize the sources of error while you are working with statistical analysis.

0406 - Identifying and Minimizing Sources of Error
03:22
+
Visualizing Data
6 Lectures 29:27

Creating histogram from a data set is one of the main focus when you're working with data distributions. In this lecture, you will build histogram using Excel's Data Analysis ToolPak.

0501 - Grouping Data Using Histograms
05:20

XY Charts show the trend between two data sets. Creating XY charts are not tough. This lecture will teach you XY chart in details.

0502 - Identifying Relationships Using XY Scatter Charts
02:36

When you work with a data set having extreme large and small number and you make charts using that data set, reading that chart will be not so easy. Converting an Axis using Logarithmic Scale will make your chart readable and effective. This lecture will teach you how to do that.

0503 - Visualizing Data Using Logarithmic Scales
05:36

This lecture will teach you how to add trend lines to a chart. Even if you want to forecast values from existing values, you can do that using trend line. This is the topic of this lecture.

0504 - Adding Trend Lines to Charts
02:43

Forecasting future results can be performed in two ways: using Excel's AutoFill Handle Tool and FORECAST() function. Both of these ways are discussed in this lecture.

0505 - Forecasting Future Results
07:09

The calculating of running average is simple. This lecture will teach you how to calculate running average and 3-day running average.

0506 - Calculating Running Averages
06:03
+
Testing a Hypothesis
3 Lectures 15:54

Formulating hypothesis based on a data is set is not tough, but you have to be very careful to do that. This lecture will teach you to do that.

0601 - Formulating a Hypothesis
07:23

This lecture will teach you how to interpret the results of your hypothesis.

0602 - Interpreting the Results of Your Analysis
05:23

In this video lecture, you will learn about the limits of testing a hypothesis.

0603 - Considering the Limits of Hypothesis Testing
03:08
+
Utilizing Data Distributions
3 Lectures 22:15

Normal distribution or Bell Curve or Gaussian Curve is one of the most important topics in Statistics. This lecture will cover the topic in great details.

0701 - Using the Normal Distribution
07:57

In this lecture, you will learn how to calculate exponential distribution in Excel.

0702 - Using the Exponential Distribution
07:22

This lecture will teach you how to calculate binomial distribution. You will also learn how to use it with a proper example.

0704 - Using the Binomial Distribution
06:56
+
Measuring Co-variance and Correlation
5 Lectures 27:46

This lecture will teach you how to visualize Covariance with an example.

0801 - Visualizing What Co-variance Means
04:54

Learn how to calculate covariance between two columns of data pairs.

0802 - Calculating Co-variance between Two Columns of Data
05:37

0803 - Calculating Co-variance among Multiple Pairs of Columns
04:14

0804 - Visualizing What Correlation Means
09:11

This lecture will teach you how to calculate correlation between two columns of data pairs.

0805 - Calculating Correlation Between Two Columns of Data
03:50
+
Case Study: Summarizing Data by Using Histograms
3 Lectures 08:05
0901 - Overview of the section
00:14

0902 - Stock Return Analysis Using Histograms
04:53

0903 - Common Shapes of Histograms
02:58
+
Case Study: Summarizing Data by Using Descriptive Statistics
11 Lectures 40:56
1001 - Overview of the section
00:46

1002 - How to Get Descriptive Statistics Using Excel's Data Analysis ToolPak
02:56

1003 - What defines a typical value (or centrality) for a data set?
06:16

1004 - How can I measure how much a data set spreads from its typical value?
03:26

1005 - What do the mean and standard deviation of a data set tell me about?
05:19

1006 - How can I use descriptive statistics to compare data sets?
02:57

1007 - How to easily find the second largest or second smallest number in a data
01:32

1008 - How can I rank numbers in a data set?
07:44

1009 - What is the trimmed mean of a data set?
03:28

1010 - Alternative of Data Analysis ToolPak
01:53

1011 - Why financial analysts use Geometric mean instead of arithmetic average?
04:39
6 More Sections
About the Instructor
Kawser Ahmed
4.4 Average rating
1,414 Reviews
39,024 Students
11 Courses
Founder ExcelDemy.com | Data Analyst

Love to see you here!

I am Kawser Ahmed, father of two beautiful angels (Marissa and Arissa), a full-time data analysis blogger (using Excel & other tools), corporate Excel trainer, & entrepreneur.

I love to make courses in the combination of both theory and practice.

Monthly 30,000 Excel users visit my Excel blog ExcelDemy (follow the website link in the profile).

I love to learn and teach (teaching from my eighteen)!

Visit my blog!

You will find plenty of useful posts, articles, video tutorials, and important Excel resources.

What I love most is: add some value to people around me, believe me!

Here are some of my working areas:

  • 1. Corporate Budgeting, Planning & Forecasting
  • 2. Mission-critical financial processes
  • 3. Month-end close processes
  • 4. Big Data Analysis using Excel
  • 5. Company Reports (Sales, Marketing, Administrative)
  • 6. Large Projects using Excel VBA
  • 7. Dashboard Design using Excel
  • 8. And Basic Accounting


I am always around you to help and support! 

Just knock me!