Statistics for Data Science and Business Analysis
Mastering Statistics Fundamentals using R Programming
4.92 (12 reviews)
46
students
6 hours
content
Mar 2024
last update
$64.99
regular price
What you will learn
Learn the essentials of R programming, including installation, setup, and exploring datasets for effective data analysis.
Understand the concept of subjects within a population and their relevance in statistical analysis.
Explore five types of statistical questions and their applications in summarizing, comparing, and predicting data.
Differentiate between categorical and quantitative data and understand their significance in statistical analysis.
Explore variable distribution and frequency tables to gain insights into data patterns.
Gain insights into both descriptive and inferential statistics and their usage in analyzing sample and population data.
Learn to visualize categorical and quantitative data distributions using various graphical representations.
Understand the different shapes of distributions for quantitative variables and their implications.
Learn methods to describe the center of quantitative data, including mean, median, and mode.
Explore measures of variability, including range and standard deviation, to understand data spread.
Gain insights into the empirical rule for understanding data distribution and identifying outliers.
Understand percentiles and quartiles and their significance in summarizing data variability.
Explore the relationship between different variables, including categorical and quantitative variables, and understand correlation analysis.
Learn predictive analysis techniques to make informed predictions based on data patterns and trends.
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udemy ID
2/3/2024
course created date
3/20/2024
course indexed date
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