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Introduction to Descriptive Statistics

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Introduction to Descriptive Statistics

1.5 Learning Hours . Beginner

Enrol free with email

Skills you’ll Learn

Central Tendency
Measures of Variability
Measure of Skewness
Kurtosis

About this course

A background in Statistics can prepare you for a wide range of job opportunities ranging from being a pure statistical researcher to a highly sought after data scientist. Keeping the importance of Statistics in mind, this course on Descriptive Statistics will introduce you to the basics of Statistics, central tendancy, variablility, skewness, and kurtosis.

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Course Outline

Introduction to Statistics

Statistics is the discipline of science that deals with studying the collection of data, analyzing, interpreting, and presenting empirical data. It explores the variation in the set of data.

What is Statistics?
Data Collection for Statistics

Statistics uses many approaches to collect the data for statistical analysis. Direct observation, Experiments, and surveys are the most popular methods to obtain data for statistical analysis. The survey collects data from people through Gallup polls, pre-election polls, marketing surveys, and other forms. 

Types of Statistical Analysis

Descriptive Statistical analysis deals with organizing and interpreting data using graphical and numerical methods, such as Inferential Statistical Analysis, Predictive Analysis, Prescriptive Analysis, Casual Analysis, Mechanistic Analysis are the standard statistical analysis techniques used in Descriptive Statistics.

Measures of Central Tendency

This section describes measures of central tendency by formulating to solve for the previously mentioned example. It also analyzes various metrics of the solution through graphs. 
 

Measures of Variability

In Descriptive Statistics, Variability is generally measured with statistical metrics such as Range, Interquartile range, and Standard deviation. You will learn these metrics in detail further in this section.

Measure of Relationships

A statistical measure that shows the relationship between two or more variables or between two or more sets of data, such as the correlation between two variables. For example, education and academic achievement.

Measure of Skewness

In Descriptive Statistics, Skewness measures the degree and direction of asymmetry. The skewness is zero in a normal distribution, and when the mean is less than the median, the distribution has negative skewness. 

 

Understanding Kurtosis

Kurtosis is a measure of data to check if it is the profusion of outliers or lack of outliers relative to normal distribution. The normal distribution of kurtosis is zero.

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Vishal Randhawa

5.0

★★★★ ★
Comprehensive and Engaging Learning Experience
I thoroughly enjoyed the course, especially the well-structured curriculum and the in-depth topics covered. The quizzes and assignments were challenging yet rewarding, helping me solidify the concepts learned. The instructor's clarity and the ease of following the content made the overall experience very enjoyable. Highly recommended for anyone looking to deepen their knowledge in this field.
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Dharti Raval

5.0

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Thank You for a Great Course. This Course Has More Than Met My Expectations.
Great presentation style with lots of opportunities, and I really enjoyed it.
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Durga bharathi Cheruku

5.0

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Descriptive Statistics and Various Basic Concepts
I have gained complete knowledge of the basics of statistics through the Descriptive Statistics course offered by Great Learning.

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Introduction to Descriptive Statistics

1.5 Learning Hours . Beginner

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Frequently Asked Questions

What is meant by descriptive statistics, with example?

Descriptive statistics quantitatively describe features from a data set and use this data to analyze the statistics. This statistical data is processed and applied to various fields of sciences and mathematics to analyze the information. For example, the average run rate in a cricket match. 

Is descriptive statistics qualitative or quantitative?

Descriptive statistics are quantitative, and they usually describe numbers in all of their calculations and analyses. They involve methods to calculate mode, mean, median, variance, and quantitative measures. 

What is the purpose of descriptive statistics?

Descriptive statistics describe and summarize the features of a sample or a data set, like variables' mean, standard deviation, or frequency. Inferential statistics help the analysts understand the collective properties of the data set elements. Being aware of the data set sample's mean-variance and distribution helps any individual understand everything around. 

How do you do descriptive statistics?

Descriptive statistical methods are carried out by performing measures of center, such as mean, median, and mode. These measures are performed at almost all levels of mathematics and statistics. Mean is calculated by adding all the figures and dividing it by the total number of figures present in the data set; median is the middle numerical figure in the data set that separates the upper and the lower half; while the mode is the result of the difference of the highest and the lowest figures in the data set.

Will I get a certificate after completing this Descriptive Statistics free course?

Yes, you will get a certificate of completion for Descriptive Statistics after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Descriptive Statistics course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Descriptive Statistics can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Descriptive Statistics course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Descriptive Statistics course?

Great Learning Academy provides this Descriptive Statistics course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Descriptive Statistics course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Descriptive Statistics course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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