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Statistics Foundation Course

Statistics Foundation Course: Learn Statistics from Scratch with Excel, SPSS, R, and PythonWelcome to the Statistics Foundation Course, a comprehensive beginner-to-intermediate pro...

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2 learners
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Published 2026 · Last updated Aug 2026

Statistics Foundation Course

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PRE-BOOK OFFER 99 seats remaining

Get the course before it goes! New Course on Statistics

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  • An active subscription plan is currently available, so learners can subscribe to access annual-only courses.
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Launch countdown

Launches 05 Sep 2026 Early access 08 Aug 2026

Course overview

Course Overview

Statistics Foundation Course: Learn Statistics from Scratch with Excel, SPSS, R, and Python


Welcome to the Statistics Foundation Course, a comprehensive beginner-to-intermediate program designed to help you build a strong foundation in statistical concepts and data analysis. Whether you are a student, researcher, educator, business professional, or aspiring data scientist, this course will equip you with the essential statistical knowledge required for academic research and real-world decision-making.


Statistics is the language of data. It enables us to summarize information, identify patterns, draw meaningful conclusions, and make evidence-based decisions. In today's data-driven world, statistical literacy is an essential skill across disciplines including business, social sciences, healthcare, engineering, economics, psychology, education, and data science.

Unlike courses that focus only on theory or software, this course combines both conceptual understanding and practical application. You will first learn how statistical measures are calculated manually, allowing you to understand the logic behind every formula. Once the concepts are clear, you will learn how to perform the same analyses using industry-standard tools including Microsoft Excel, IBM SPSS Statistics, R, and Python.


Throughout the course, complex statistical concepts are explained in a simple, step-by-step manner with practical examples, making the learning experience easy and engaging even for complete beginners.


By the end of this course, you will have the confidence to calculate, interpret, and apply statistical techniques using both manual methods and statistical software.


Whether your goal is academic research, dissertation writing, business analytics, or building a career in data analytics and data science, this course provides the perfect starting point

Learning Outcomes

Understand the fundamental concepts of descriptive and inferential statistics.

Perform statistical calculations manually with confidence.

Analyze data using Microsoft Excel, IBM SPSS Statistics, R, and Python.

Interpret statistical results for research and data-driven decision-making.

Build a strong foundation for advanced statistics, data analytics, and research.

What you walk away with

Career Map & Skills You Gain

Every course adds to three macro skills. Log in to swap platform averages for your own numbers.

Financial skills

62th

percentile

Your salary vs. learners in these roles

After this course+14 pts → 76th

Data Analysis and Research Specialist

78% course score

+8

Project Contributor

66% course score

+7

Independent Practitioner

61% course score

+6

Employability skills

71th

percentile

Quiz scores from the courses you finish

After this course+18 pts → 89th

Understand the fundamental conce...

64% course score

+6 pts

Perform statistical calculations...

70% course score

+7 pts

Analyze data using Microsoft Exc...

76% course score

+8 pts

Interpret statistical results fo...

82% course score

+8 pts

Life skills

48th

percentile

Life-skill test scores after each course

After this course+11 pts → 59th

Critical thinking

76% course score

+8 pts

Decision-making

71% course score

+7 pts

Analytical mindset

68% course score

+7 pts

Curriculum

10 modules · 109 lessons · 10 hr 50 min

Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.

Live Class Option
Defining Statistics
AVAILABLE WITH PRE-BOOK
5:46
Statistics Defined as a Summary Feature of Sample
AVAILABLE WITH PRE-BOOK
1:15
History of Statistics
AVAILABLE WITH PRE-BOOK
2:02
Evolutions and Revolutions in Statistics
AVAILABLE WITH PRE-BOOK
5:48
Types of Statistics: Descriptive vs. Inferential
AVAILABLE WITH PRE-BOOK
5:02
Types of Statistics: Parametric vs. Non-Parametric Statistics
AVAILABLE WITH PRE-BOOK
4:22
What We Mean by Sample and Population?
AVAILABLE WITH PRE-BOOK
8:22
What We Mean by Statistics and Parameter?
3:57
Understanding Data, Dataset, Values, Observations, Variables
3:54
Understanding Data, Observations, Values, Cases through Covid Data
3:13
Understanding Data, Dataset, Observations, Variables and Values: ESS Example
3:36
Quiz 1
Upcoming
Introduction to Scales of Measurement
3:22
What are Nominal Scales?
1:22
What are Ordinal Scales?
2:43
What are Interval Scales?
3:29
Are Likert Scales Ordinal or Interval Scales?
2:31
What are Ratio Scales?
3:28
Summing Up Scales of Measurement
4:00
What is a Frequency Distribution?
1:42
Understanding Frequency Distribution Through a Problem: Favourite Eating Option
2:20
Creating a Frequency Distribution in Excel
17:04
Creating Frequency Distribution in SPSS
12:32
How to Clear R Console _Useful R Commands
0:52
Getting Familiar with R Environment
10:52
Assignment Operators in R
6:09
Creating Numeric and String Vectors in R
10:00
Importing Excel File in R using File import wizard
6:22
Importing Excel File using Setwd and read.csv commands
6:02
How to Seek help and search in R?
1:38
Counting in R Table Function
11:40
Understanding Geometric Progression and Learning to Create it
6:34
Understanding Formula and Manual Calculation of Geometric Mean
13:33
GM exercise Calculate GM using GEOMEAN nth Root and Antilog formula
14:35
Calculating Geometric Mean Using SPSS
4:00
How to calculate Log of a number using log Table
7:23
Harmonic Mean Definition and Formula
8:41
Properties of Harmonic Mean
3:10
Calculation of Harmonic Mean: Manual Calculation with Excel and SPSS Demo
11:34
Calculation of Arithmetic Mean for Grouped Data
14:20
Calculation of Arithmetic Mean for Grouped Data Using SPSS
11:45
Median Calculation for Discrete and Continuous Data
16:28
Mode Calculation for Grouped Data
4:44
Weighted Mean
10:35
What are positional averages Quartiles Percentiles Deciles?
5:33
Understanding Quartiles
6:40
Understanding Formula of Quartiles for Grouped and Ungrouped Data
15:06
Calculation of Quartiles_Understading formula
3:37
Calculation of Quartiles for Even Ungrouped Series
5:36
Calculation of Quartiles for Odd Ungrouped Series
8:23
Quartile Calculation for Class Interval Data
12:24
Calculation of Quartiles in Excel
2:08
Calculation of Quartiles in SPSS
1:52
Merits and Demerits of Quartiles
8:56
Understanding Deciles
3:15
Understanding Formula for Deciles
2:27
Calculation of Deciles for Ungrouped Data
5:18
Decile Calculation for Continuous Data
5:27
Decile Calculation in SPSS
3:42
Percentiles Definition and Formula
6:12
Percentile Calculation of Discrete Data
4:55
Percentile Calculation by Anderson et al. Method
7:26
Percentile Calculation by Inclusion vs. Exclusion Method
7:08
Formula for Percentiles for Continuous Data
7:10
Understanding Measures of Dispersion
7:28
Types of Measures of Dispersion: Absolute Vs. Relative
4:05
Analytical Strategy for Measures of Dispersion
4:17
Understanding Range, its Usage and Calculation
3:27
Calculation of Range and Coefficient of Range for Individual Series
6:59
Calculation of Range for Discrete Series
3:02
Calculation of Range for Continuous Series
2:36
Calculation of Range in Excel and SPSS
4:37
Merits and Demerits of range
4:41
Quartile Deviation Definition and Manual Calculation with Excel and SPSS Demo
8:27
Merits and Demerits of Quartile Deviation
6:39
Understanding the Concept and Formula of Mean Deviation
5:53
Calculation of Mean Deviation for Individual Series
Calculation of Mean Deviation for Discrete and Continuous Series
8:29
Standard Deviation: Understanding Sample and Population Standard Deviation
6:58
Variance and Coefficient of Variation: Definition and Formula
7:09
Calculation of Sample Standard Deviation for Ungrouped Data
11:37
Calculation of Sample Standard Deviation for Ungrouped Data in Excel
2:17
Calculation of Sample Standard Deviation for Ungrouped Data Using SPSS
2:32
Manual Calculation of Population Std Dev for Ungrouped Data
7:06
Calculation of Population Standard Deviation Using Excel
0:52
Calculation of Population Standard Deviation Using SPSS
5:20
What is a Statistical Distribution?
11:56
Understanding Symmetric and Asymmetric Distributions
6:02
Normal Distribution: Explanation and Properties
7:52
What is Skewness_Understanding Positive and Negative Skewness
7:20
Properties of Skewness
4:04
Measures of Skewness
4:26
Pearson's Coefficient of Skewness
7:15
Bowley's Coefficient of Skewness
4:40
Kelly's Formula of Skewness
3:53
Downloading and Installing R and R Studio
6:36
Downloading and Installing PyCharm
7:35
Download install Anaconda
5:55
Getting Familiar with Juypter Notebook Interface
3:00
Getting familiar with Jupyter Notebook Interface: Part 2
2:18
Running Basic Python Functions in Jupyter Notebook
1:40
Understanding the concept of logs and exponents_With Graphical Demo of
8:48
Understanding Calculation of Log
3:59
Types of Log and Their Calculation_ Explanation of Common Natural Binar
3:40
Rules for Width of CI
9:10
Math_ Types of Numbers
11:22
Types of CI Continuous Discrete
5:52
TIPS _ How to Activate data Analysis Tool Pack in Excel
1:20
₹850.00 Enroll Now
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Prem Kumar

Prem Kumar

Instructor at Scholarsight

University of Pompey Honduras
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Questions

Frequently asked

Who is this course for?

This course is designed for learners who want a practical, comprehensive path through the course subject.

What will I learn?

You will build practical knowledge through the course lessons, examples, and activities.

How long do I have access?

Your course access remains available for the lifetime of your account, including future updates.

Do I get a certificate?

Yes. A verifiable certificate of completion is issued when you finish the course requirements.

Is there a refund policy?

Yes. There is a 30-day money-back guarantee, no questions asked.

We are committed to your progress

Lifetime access, mentor Q&A on every lesson, and a certificate you can share the moment you finish. If it is not right for you, the first 30 days are on us.

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