8 U L TIM A T E G UID E T O S T A TIS TIC A L A N A L Y SIS F O R D A T A S CIE N C E

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SWIPE
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THE ULTIMATE
GUIDE TO
STATISTICAL
ANALYSIS FOR
DATA SCIENCE
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INTRODUCTION
SWIPE
Understanding Statistical Analysis Descriptive
Statistics Inferential Statistics Regression
Analysis Experimental Design Machine Learning
and Statistics Data Ethics and Bias Resources
for Learning Data Science
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1. UNDERSTANDING STATISTICAL ANALYSIS
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What is Statistical Analysis? Importance of
Statistical Analysis in Data Science Key
Terminology in Statistical Analysis
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2.DESCRIPTIVE STATISTICS
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Measures of Central Tendency (Mean, Median,
Mode) Measures of Variability (Variance, Standard
Deviation) Data Visualization for Descriptive
Statistics
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3.INFERENTIAL STATISTICS
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Probability Distributions (Normal, Binomial,
Poisson) Hypothesis Testing Confidence
Intervals Statistical Significance
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4.REGRESSION ANALYSIS
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• Linear Regression
• Multiple Regression Logistic Regression
• Practical Applications in Data Science

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5.EXPERIMENTAL DESIGN
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Randomization Control Groups A/B Testing Causal
Inference
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6.MACHINE LEARNING AND STATISTICS
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The Intersection of Machine Learning and
Statistics Feature Selection and Engineering
Model Evaluation Metrics Overfitting and Bias
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7.DATA ETHICS AND BIAS
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Addressing Bias in Data Ethical Considerations in
Data Science Responsible AI
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8.RESOURCES FOR LEARNING DATA SCIENCE
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Data Science Courses and Certifications Online
Data Science Courses Choosing the Top Data
Science Course
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