• views: 27
• date: 21 January 2025
• posted by: voska89

What you'll learn

Basic statistical concepts and variable types.
Creating and interpreting different types of graphs.
Hands-on data visualization using R.
Understanding and applying sampling techniques.

Requirements

No prior knowledge of statistics or R is required. Basic familiarity with Excel is helpful but not mandatory.

Description

Course IntroductionThis course is a comprehensive introduction to statistics, emphasizing concepts and practical implementation using R. Starting with foundational topics like variables and graphical techniques, you'll progress to advanced concepts like sampling methods and statistical visualizations. Designed for beginners, the course offers hands-on exercises to ensure you can apply statistical techniques to real-world datasets effectively.Section-wise WriteupSection 1: IntroductionKickstart your statistical journey with an

Overview

of essential concepts. Learn about random numbers in Excel and their applications in data analysis.Section 2: Variables and Types of VariablesDive into the building blocks of statistics: variables. Understand their types, including quantitative, qualitative, and ordinal scales, and how they shape data analysis.Section 3: Different Graphical TechniquesVisualize data effectively using various graphical methods. Learn to create bar charts, pie charts, histograms, scatter plots, and box plots with hands-on examples using R.Section 4: Sampling TechniquesUnderstand the importance of sampling in statistics and explore different sampling methods, including probability and non-probability sampling. Gain practical experience drawing samples in R.No prior knowledge of statistics or R is required. Basic familiarity with Excel is helpful but not mandatory. Beginners eager to learn statistics and data visualization. Data enthusiasts looking to gain practical R programming skills. Students and professionals seeking foundational statistical knowledge.

Who this course is for

Beginners eager to learn statistics and data visualization. Data enthusiasts looking to gain practical R programming skills. Students and professionals seeking foundational statistical knowledge.
Homepage:

https://www.udemy.com/course/statistics-essentials-for-analytics-using-r-beginners/

   
   
   

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