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ST (MMCP-Storage) - 2024-07-05T07:38:56.568Z)

Introduction to Statistics

Numbers in Everyday Life

Use and Abuse of Numbers

Bias

Different Kinds of Analytic Approaches

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Unit Assessment

Assignment Week 1

Data Types

Tabular & Graphical Methods to Describe Data

Sampling and Populations

Measures of Central Tendency

Measures of Dispersion

Outliers

Distorting the Truth Using Descriptive Statistics

Assignment Week 2

Descriptive Statistics

Correlation as a Statistical Measure

Correlation Versus Causation

Scatter Plots and Line of Best Fit

Linear Regression

Interpreting Results

Assignment Week 3

Correlation and Linear Regression

 Correlation and Linear Regression

Introduction to Probability

Conditional Probability

Understanding Bayes' Theorem

Examples of Bayes' Theorem in Practice

Assignment Week 4

Properties of Distributions

The Normal Distribution

Kurtosis and Skewness

Using the Normal Distribution to Calculate Probability

Hypothesis Testing

Assignment Week 5

Probability Distributions

How Does This Help in the Real World?

Critically Evaluating Reports

Lying and Misleading with Statistics

Tools and References

Assignment Week 6

Connecting to Your SAP Solutions

Introduction to Statistics for Data Science

This course teaches basic statistical concepts and practices used in data science. It explores how data can be summarized, compared, and analyzed for patterns. The course also covers the misuse of statistics and how it can lead to misunderstandings or distortions. Overall, it aims to help you understand and apply statistics in your daily life.