Introduction to Statistics (Udemy.com)

Introductory Statistics as Covered in the Social, Behavioral, and Natural Sciences

( 140 Reviews )

Created by: Quantitative Specialists

Produced in 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

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 86 / 100

Course Description

November, 2019In the course, you will learn how to easily and effectivelyanalyze 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 alongwith 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 andinterpret 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 ofnumbers.
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-scoresGoals/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 includingseveral quizzes with completevideo coverage of the solutions.
Update:
New Videos Added on Hypothesis Testing and on Correlation! (See Sections 6 and 7 of the Course.)Who 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)

Time: 2.5h

Instructor Details

Quantitative Specialists

4.3 Rating
140 Reviews

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

4.3

140 total reviews

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Write a Review

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

By Vlad Mayer on 8/20/2020

what a simple and elegant explanation of this complicated (for me) topic!
thank you very much for the course, Ron!
I just purchased your another course - "Regression Analysis"

By Jennifer Baird on 8/19/2020

Very clear and easy to understand; would help to hear more about what you would do with some of this (e.g. what is a practical application of a stem and leaf plot?). This was a great refresher for someone who has taken statistics classes in the past!

By Andy Chaurusno on 8/18/2020

This course offers a foundation to statistics and is very high level. I had had prior reading on statistics textbook thus i had no difficulties to grasp what this course has to offer. I had purchased this course before getting a copy of the statistics textbook i referred to.