Kategorien: Alle - vectors - probability - confidence - hypothesis

von Mykola Manko Vor 2 Jahren

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Data Science 52 weeks

The course in data science spans 52 weeks, offering a comprehensive curriculum divided into key sections. The first six weeks focus on statistics and probability, covering topics such as descriptive statistics, measures of central tendency, and dispersion.

Data Science
52 weeks

Data Science 52 weeks

2. Mathematics (Week 7 to 12)

Week 7: Vectors and Spaces
Vectors and spaces KhanAcademy unit

1. Statistics and Probability (Week 1 to Week 6)

AP®︎/College Statistics

https://www.khanacademy.org/math/ap-statistics

Week 6: Hypothesis Testing
Significance tests (hypothesis testing) KhanAcademy unit

When to use z or t statistics in significance tests

Introduction to Type I and Type II errors

Week 5: Confidence Intervals
T distribution with Critical Regions
T Score
Confidence intervals KhanAcademy unit
Week 4: Normal Distribution and Sampling Distributions
Sampling distributions KhanAcademy unit

Differences of sample proportions

Sampling distribution of a sample mean

Sampling distribution of a sample proportion

Modeling data distributions KhanAcademy unit
Normal Distribution cdf calculator
Z Score – Definition and How to Use
Week 3: Combinations and Permutations
Counting, permutations, and combinations KhanAcademy unit
Week 2: Probability
Probability KhanAcademy unit
Week 1: Descriptive Statistics
Summarizing quantitative data KhanAcademy unit
Measures

Dispersion (or Variability)

Kurtosis γ₂

Platykurtic / Mesokurtic / Leptokurtic

Skewness

Positive / Zero / Negative

Quartiles

Interquartile range (IQR)

Range

Standard Deviation σ

Population and sample standard deviation review

Standard deviation in a normal distribution

Variance σ²

The Absolute Deviation from Mean, also called Mean Absolute Deviation (MAD)

Central Tendency

Mean (Average) μ

Median (50th percentile)

Mode

Unimodal / Bimodal / Multimodal

Another Intro to Descriptive Statistics
Intro to Descriptive Statistics