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The course starts on TODAYNovember 23, 2024

Course will end on January 22, 2025

8 Weeks (5-7 hours per week)

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Last update on May 31, 2024

Statistics 101

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Statistics 101 is a foundational course crafted to establish a robust understanding of statistical principles and methodologies. Throughout this curriculum, we will delve into the core concepts of statistics, furnishing you with the capabilities to analyze, interpret, and derive significant insights from data. Whether you are a student fulfilling academic prerequisites, a professional looking to refine analytical skills, or someone simply curious about the world of statistics, this course has been tailored to cater to your requirements.
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Self Paced
Verified certificate

Statistics 101

somX

ABOUT THIS COURSE

Statistics 101 is a foundational course crafted to establish a robust understanding of statistical principles and methodologies. Throughout this curriculum, we will delve into the core concepts of sta

What you'll learn

  • 1. Foundational principles
  • 2. Descriptive statistics for effective data summarization
  • 3. Exploration of probability basics
  • 4. Mastery of inferential statistics for predictions
  • 5. Understanding regression analysis for modeling relationships
  • 6. Practical application of statistical methods to real-world datasets

Course content

Workshop 1: Introduction to Statistics

Course overview

1 lectures

Lesson 1: What is Statistics?

1 lectures

Lesson 2: Basic Concepts of Statistics

1 lectures

Lesson 3: Types of Statistics

1 lectures

Lesson 4: Importance of Statistics in Decision Making

1 lectures

Lesson 5: Types of Data and Variables

1 lectures

Lesson 6: Levels of Measurement: Nominal, Ordinal, Interval, Ratio

1 lectures

Quiz 1

1 lectures

Workshop 2: Data Visualization

Lesson 1: Introduction to Data

1 lectures

Lesson 2: Data Collection

1 lectures

Lesson 3: Data Visualization: Representation: Bar Charts, Histograms

1 lectures

Lesson 4: Getting Started with Excel: Reading and Interpreting Graphs and Charts

1 lectures

Lesson 5: Practical Session: Creating Charts with Excel

1 lectures

Quiz 2

1 lectures

Workshop 3: Descriptive Statistics

Lesson 1: Descriptive Analysis

1 lectures

Lesson 2: Introduction of Descriptive measures

1 lectures

Lesson 3: Measures of Central Tendency: Mean, Median, Mode

1 lectures

Lesson 4: Measures of Dispersion: Range, Variance, Standard Deviation

1 lectures

Lesson 5: Measures of Positions

1 lectures

Lesson 6: Practical Examples

1 lectures

Quiz 3A

1 lectures

Quiz 3B

1 lectures

Workshop 4: Descriptive Analysis using Excel

Lesson 1. Getting Started with Excel

1 lectures

Lesson 2. Descriptive Analysis Using Excel

1 lectures

Lesson 3. Understanding Probability: Definitions and Rules

1 lectures

Lesson 4. Types of Probability

1 lectures

Quiz 4

1 lectures

Workshop 5: Introduction to Inferential Statistics

Lesson 1. Introduction Inferential Statistics

1 lectures

Lesson 2. Regression Analysis and Correlation

2 lectures

Lesson 3. Simple Regression Analysis

1 lectures

Lesson 4. Correlation Analysis Practical

1 lectures

Lesson 5. Practical Example of Regression Analysis using Excel part1

1 lectures

Lesson 6. Practical Example of Regression Analysis using Excel Part 2

1 lectures

Lesson 7. Real-life Example of Simple Regression Analysis

1 lectures

Quiz 5

1 lectures

Workshop 6: Multiple Regression

Lesson 1. Introduction Multiple Regression

1 lectures

Lesson 2. Understanding Multiple Linear Regression and Basics Interpretation

1 lectures

Lesson 3. Modeling of Multiple Regression

1 lectures

Lesson 4. Multiple Regression Analysis Using Excel.

1 lectures

Lesson 5. Practical Example with Excel (Part 1)

1 lectures

Lesson 5. Practical Example with Excel (Part 2)

1 lectures

Lesson 6. Practical Session of Real-life Example

1 lectures

Quiz 6

1 lectures

Workshop 7: SPSS Statistics

Lesson 1. SPSS Statistics

1 lectures

Lesson 2. SPSS Coding

1 lectures

Lesson 3. Descriptive Analysis in SPSS

1 lectures

Lesson 4. Descriptive and Correlation Analysis in SPSS

1 lectures

Lesson 5. Multiple Regression Analysis In SPSS

1 lectures

Quiz 7

1 lectures

Workshop 8: Course Wrap-Up and Review

Final Project: Applying Statistical Analysis on a Real-example

1 lectures

Course Wrap-up: Practical Data Analysis Case

1 lectures

Quiz 8

1 lectures

Instructors

instructor-avator

Farhia Hassan Mohamed

69 Learners

1 Course