Introduction to Statistics (Udemy.com)
Introductory Statistics as Covered in the Social, Behavioral, and Natural Sciences
Created by: Quantitative Specialists
Last updated March 2018
What 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
How it compares
Against the other 503 rated Udemy courses in Teaching & Academics on CourseDuck:
- Rating4.6 out of 5higher than 58% of them
- Reviews808#173 of 504 by number of reviews
- Length2.7 hoursshorter than 61% of them
- Last updatedMarch 2018earlier than 90% of them
Course 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.)
Instructor Details
- 4.6 Rating
808 Reviews
Quantitative Specialists
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!
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Reviews
By John Nguyen on 12/21/2022
It's an excellent course. The instructor explains the materials very well. The quizzes also help to reinforce the concepts. However, I would refer to having even more questions on the quizzes instead of 3 or 5.
By Md Ashekul Karim on 11/30/2022
It's what I was looking for! A simple introductory course to be introduced in the world of statistics. If anyone not from stats background & want to earn a basic understanding of it I would suggest this course.
By Charlie on 9/22/2022
Great course where all the material is broken down in to understandable procedures with helpful notes and great explainations. I wish all of my stats learning could be made like this. Thank you!
By Dominick Ramelb on 11/14/2020
This was a great course for those who are looking for an introduction into statistics. The example and quizzes were very helpful as well.
By Vinay Ranganathan on 11/1/2020
Perfect for someone trying to start their PhD data analysis !!!
By Heidi Smith on 10/22/2020
very clear and helpful
By Kendall Jeter on 10/17/2020
Very repetitive of simple concepts, but fails to explain less familiar terms and concepts (like hypotheses and variance equations). Also lacks in actual application. I do not feel confident that I could apply this knowledge when reading research.
By Aparna Tembulkar on 10/8/2020
yes
By Aditya Shinde on 10/3/2020
Concepts are explained easy
By Yvette on 9/26/2020
Very helpful course - thank you. The last section on correlation and reporting on the findings could perhaps have benefited from a quiz or some extra examples. All in all, great work.
By Deepak Jugran on 9/20/2020
wow
By Chris Moss on 9/19/2020
Clear & simple to follow, more real world examples where stats used could maintain engagement
Quality Score
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Overall Score : 92 / 100









