Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Introduction to Statistics

Introductory Statistics as Covered in the Social, Behavioral, and Natural Sciences
4.5
4.5/5
(622 reviews)
2,386 students
Created by

8.0

CourseMarks Score®

4.9

Freshness

9.6

Feedback

8.9

Content

Platform: Udemy
Video: 2h 39m
Language: English
Next start: On Demand

Top Statistics courses:

Detailed Analysis

CourseMarks Score®

8.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

4.9 / 10
This course was last updated on 3/2018.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.6 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.9 / 10
Video Score: 8.0 / 10
The course includes 2h 39m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 27 minutes of 147 Statistics courses on Udemy.
Detail Score: 9.1 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
7 resources.
0 exercise.
0 test.

Table of contents

Description

November, 2019
In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course:
Scales of measurement – nominal, ordinal, interval, ratio. 
•Goal/Learning Objective: Easily understand the often-confused scales of measurement covered in most statistics texts.
Central Tendency – mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean. 
•Goals/Learning Objectives: Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data.
Variability – How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language. 
•Goals/Learning Objectives: Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile).
Charts and Graphs – How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated. 
•Goals/Learning Objectives: Learn how to easily organize, summarize, understand, and explain a set of numbers.
Probability, the Normal Curve and z-Scores – An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores
•Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores.
Bonus Features: Cement understanding with practice opportunities including several quizzes with complete video coverage of the solutions. 
Update: New Videos Added on Hypothesis Testing and on Correlation!    (See Sections 6 and 7 of the Course.)

You will learn

✓ Understand and learn how to calculate a number of different descriptive statistics
✓ Increase your quantitative and numerical reasoning skills!
✓ Increase marketable job skills in data analytics

Requirements

• No special software or other materials are required.

This course is for

• Those interested in learning more about descriptive statistics should take this course (those interested only in inferential statistics should not take the course)

How much does the Introduction to Statistics course cost? Is it worth it?

The course costs $14.99. And currently there is a 70% discount on the original price of the course, which was $49.99. So you save $35 if you enroll the course now.
The average price is $15.4 of 147 Statistics courses. So this course is 3% cheaper than the average Statistics course on Udemy.

Does the Introduction to Statistics course have a money back guarantee or refund policy?

YES, Introduction to Statistics has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Introduction to Statistics course, but there is a $35 discount from the original price ($49.99). So the current price is just $14.99.

Who is the instructor? Is Quantitative Specialists a SCAM or a TRUSTED instructor?

Quantitative Specialists has created 9 courses that got 4,448 reviews which are generally positive. Quantitative Specialists has taught 20,869 students and received a 4.5 average review out of 4,448 reviews. Depending on the information available, Quantitative Specialists is a TRUSTED instructor.
Specializing in Statistics, Research Design, and Measurement
Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work!
Browse all courses by on Coursemarks.

8.0

CourseMarks Score®

4.9

Freshness

9.6

Feedback

8.9

Content

Platform: Udemy
Video: 2h 39m
Language: English
Next start: On Demand

Students are also interested in

Review widget (for course creators):

Introduction to Statistics rating
Code for the widget (just copy and paste it to your site):
<a href="https://coursemarks.com/course/introduction-to-statistics-2/" target="_blank" title="Introduction to Statistics on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/cmrated.svg" width="200px" alt="Introduction to Statistics rating"/></a>