Introduction to Statistics

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

4.60 (760 reviews)

Udemy

platform

English

language

Math

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

Why take this course?

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.)

Reviews

Kabelo

January 14, 2024

The course is a perfect introductory course for beginners or anyone hoping to refresh their knowledge of descriptive statistics.

Fred

August 31, 2023

I'm new to statics and found this class a great start to understanding and using statistics. The instructor gave clear and precise lectures with a quiz to test your understanding.

Helle

July 23, 2023

Really great course, highly recommend - he breaks stats down nice and simple and he has a calming and clear voice,

Prerana

March 11, 2023

It was really very helpful for me. Everything was so precisely and accurately explained in less time and question were very amazing to check your own knowledge as well as progress.

Tirthankar

January 10, 2023

The course serves both as a good refresher course and a beginner friendly course! The instructor's delivery and explanations are great. However, there are some areas where the course can be improved: 1. Many of the slides are unnecessarily long due to repetitions - These repeats should be avoided. 2. The section on hypotheses and hypothesis testing appear to presume some level of familiarity with statistical concepts like two-tailed and one-tailed tests. These lessons should be made more beginner friendly. 3. There should have been lectures on other correlation coefficients such as Kendall, and their use with skewed data. Also, one lecture on different probability distributions such as binomial and Poisson would have been very helpful.

John

December 22, 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.

November 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.

Charlie

September 23, 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!

Hazel

August 20, 2022

Great material... I think last part is difficult to understant... could be important include more practical cases.

Alfie

July 20, 2022

Content was great - just what I needed. There was one instance where the wrong video played after quiz 9 but this was not an issue for me.

Justus

June 30, 2022

Vital to learn the math behind statistics AND reasoning behind some of the mathematical operations. For example, explaining the importance of squaring sd dev and therefore getting values that are not negative to represents the variance.

Hayley

June 23, 2022

The teacher is extremely clear and easy to understand. He used great examples and discussed it in a way that wasn't boring.

Anthony

May 30, 2022

Very nice and clear. It is perfect to complement some other courses, to get different ways of explaining the concepts.

David

May 23, 2022

Was a good match to what I currently know as a beginning student of statistics, helpful in fleshing out some basic ideas I was fuzzy about.

Laura

March 17, 2022

The course was presented in a pace which allowed the learner time to grasp the concepts. The examples and quizzes were excellent learning tools

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