Data Science
52 weeks

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

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Week 1: Descriptive Statistics

Week 1: Descriptive Statistics

Intro to Descriptive Statistics

Another Intro to Descriptive Statistics

Measures

Measures

Central Tendency

Central Tendency

Mode

Unimodal / Bimodal / Multimodal

Unimodal / Bimodal / Multimodal

Median (50th percentile)

Median (50th percentile)

Mean (Average) μ

Mean (Average) μ

Dispersion (or Variability)

Dispersion (or Variability)

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

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

Variance σ²

Variance σ²

Standard Deviation σ

Standard Deviation σ

Standard deviation in a normal distribution

Standard deviation in a normal distribution

Population and sample standard deviation review

Range

Range

Quartiles

Quartiles

Interquartile range (IQR)

Interquartile range (IQR)

Skewness

Skewness

Positive / Zero / Negative

Positive / Zero / Negative

Kurtosis γ₂

Kurtosis γ₂

Platykurtic / Mesokurtic / Leptokurtic

Platykurtic / Mesokurtic / Leptokurtic

Summarizing quantitative data
KhanAcademy unit

Week 2: Probability

Week 2: Probability

Probability
KhanAcademy unit

Week 3: Combinations and Permutations

Week 3: Combinations and Permutations

Counting, permutations, and combinations
KhanAcademy unit

Week 4: Normal Distribution and Sampling Distributions

Week 4: Normal Distribution and Sampling Distributions
Z Score – Definition and How to Use

Z Score – Definition and How to Use

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Normal Distribution cdf calculator

Normal Distribution cdf calculator

Modeling data distributions
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Sampling distributions
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Sampling distribution of a sample proportion

Sampling distribution of a sample proportion

Sampling distribution of a sample mean

Sampling distribution of a sample mean

Differences of sample proportions

Differences of sample proportions

Week 5: Confidence Intervals

Confidence intervals
KhanAcademy unit

T Score

T Score

T distribution with Critical Regions

T distribution with Critical Regions

Week 6: Hypothesis Testing

Significance tests (hypothesis testing)
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Introduction to Type I and Type II errors

Introduction to Type I and Type II errors

When to use z or t statistics in significance tests

When to use z or t statistics in significance tests

2. Mathematics
(Week 7 to 12)

Week 7: Vectors and Spaces

Vectors and spaces
KhanAcademy unit