Learn how to use statistics step by step.
4.5 (3 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.
20 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Learn how to use statistics step by step. to your Wishlist.

Add to Wishlist

Learn how to use statistics step by step.

Learn principle and applications of statistical tools to describe the variable.
4.5 (3 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.
20 students enrolled
Created by Shikha Sharma
Last updated 8/2016
English
Current price: $10 Original price: $20 Discount: 50% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 3.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Draw conclusions out of statistical data and graphs.
  • Understands the empirical relationship between different statistical parameters that are average, standard deviation and moment
  • Can calculate moment of a variable
  • Can interpret graphically inequalities through Lorenz curve
  • Can measure of disparities through Ginni's index.
  • Can use different coefficients based on moment to calculate skewness and kurtosis.
View Curriculum
Requirements
  • Basic Microsoft Excel
  • Algebra
Description

This course is the foundation stone of statistics, as its understanding will be helpful throughout the statistical analysis. We will learn different statistical parameters like central tendency, the measure of deviation, variance, standard deviation, moment, skewness and kurtosis, are use to describe a statistical variable completely and also the understanding of different frequency distribution curves, their skewness and kurtosis with easy to understand explanations and examples. We will also learn how to study inequalities in the distribution graphically and how to measure them through Lorenz curve and Ginni's index

At the end of my course, students will be able to...

Draw conclusions out of statistical data and graphs.

Will able to compare and draw conclusions based on statistical data using standard Deviation.

Able to draw Lorenz curve on excel and can calculate significant value for Lorenz curve using Ginni's index.

Understands the empirical relationship between different statistical parameters that are average, standard deviation etc.

Can calculate moment of variables. 

Can use different coefficients based on moment to calculate skewness and kurtosis.


What will students need to know or do before starting this course?

Basic Microsoft Excel

Algebra

Who should take this course?

Students pursuing courses in economics, statistics, management and biostatistics.

Professionals like Business analyst and Economist

Researchers like Ecologist, Bio-technologist etc.(having non- mathematical background)

Who is the target audience?
  • Students pursuing courses in economics, statistics and biostatistics
  • Professionals like Business analyst and economist
  • Researchers like ecologist, bio-technologist etc.(having non- mathematical background)
Students Who Viewed This Course Also Viewed
Curriculum For This Course
24 Lectures
03:27:29
+
Learn how to use statistics step by step.
1 Lecture 02:58
+
Measure of Central Tendency
10 Lectures 01:17:54

Central Tendency represents a distribution and is also called measure of location

Preview 01:57

Arithmetic mean is the average and how is calculated when different types of frequency distributions are given.

Arithmetic Mean
10:59

When and how to calculate geometric mean when different types of frequency distributions are given.

Geometric mean
06:28

How to calculate harmonic mean with different frequency distributions.

Harmonic Mean
05:27

How to calculate median with different types of distribution.

Median
11:28

Calculation and significance of mode.

Mode
04:41

Partition Value (Quartile)
11:13

How to interpret decile value for different types of distributions.

Partition value (Decile)
08:06

How to interpret percentile value for different types of distributions.

Partition value (Percentile)
08:59

How to combine mean of two or more distributions, calculate weight-age and correct the incorrect observation using mean.

Combined, weighted and correct - incorrect mean
08:36
+
Measure ofDispersion
9 Lectures 01:30:56

Importance and types of measure of dispersion and calculation of range. 

Preview 10:47

What is mean deviation and  different equations to calculate mean deviation.

Mean Deviation
04:32

Use of equations of mean deviation with examples.

Problem Set
19:11

Importance of Standard deviation over variance.

Variance and Standard Deviation
15:33

How to combine standard deviation of two or more series and calculate variations.

Combined Standard Deviation
09:23

Empirical rule and its use. 

Symmetrical bell shaped distribution
07:52

Importance of Chebyshev's theorem with examples.

Chebyshev's Theorum
06:57

How to interpret Lorenz curve and measure it mathematically using Ginni's index.

Lorenz Curve
03:12

Explained how to plot Lorenz curve and calculate Ginni's index using excel.

Problem Set
13:29
+
Skewness
1 Lecture 12:30

Graphical and mathematical measure of skewness.

Skewness
12:30
+
Moment
2 Lectures 19:42

Moment, equation to measure moment and coefficient derived from moment.

Moment
12:41

Applications of the moment equations

Problem Set
07:01
+
Kurtosis
1 Lecture 03:29

Measure of kurtic curve using coefficient based on moment and examples.

Kurtosis
03:29
About the Instructor
Shikha Sharma
4.5 Average rating
3 Reviews
20 Students
1 Course
Udemy instructor

"A teacher's life lights may lamps"- by A.P.J Abdul Kalam

I am a passionate academician and have earned my degree of Masters of Technology in Biotechnology. I worked as Assistant Professor in the department of biotechnology for 2 years and taught subjects like statistics, biochemistry, microbiology, immunology, biotechnology, genetics and instrumentation. I also worked for Transtutor's as an expert.

Biotechnology is all about techniques and their applications and to understand them it is important to read the lot of research papers, which contains a huge amount of statistical data and graphs. As an academician, I realised the difficulties faced by a student with non- mathematical background to interpret statistical data. Hence this encouraged me to make the course which starts from the basics of statistics .i.e. mean, median and mode.

My strength is to convey difficult ideas in a simple way and has used simple examples which make the concept easy to understand and apply. 
This course will not only help non- mathematical background students or researchers but also help all those who want to make their career as an analyst or economist.

Let us, then, up and doing,

With a heart for any fate;

Still achieving, still pursuing,

Learn to labor and to wait.