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Build a strong foundation in data analytics and coding with Python with the Applied Statistics for Data Analytics with Python zyBook.

Specifically, you will learn more about the concepts needed to understand and utilise data techniques. This includes descriptive statistics, probability, and inferential statistics.

Research Proven Excellence

Preferred Choice

80% of surveyed students preferred zyBooks over regular textbooks.

Better Learning

Studies show that students learn 118% more with the minimal text model in only one lesson.

Proven Results

On average, zyBook users improved grades up to ⅔ and read 74% more than users of regular textbooks.

What is a zyBook?

In short, zyBooks are interactive, digital textbooks.


By incorporating available technology, zyBooks make learning fun, interactive and engaging – all while drastically reducing the time spent on learning theoretical concepts.

Course Details

The Applied Statistics for Data Analytics with Python zyBook covers data analytics concepts with minimal text, maximum interactivity.

Module 1: Data Visualisation

1.1 What is data? 1.2 What is data visualisation? 1.3 Python for data visualisation 1.4 Data frames 1.5 Bar charts 1.6 Pie charts 1.7 Scatter plots 1.8 Line charts

Module 2: Descriptive Statistics

2.1 Survey sampling 2.2 Measures of center 2.3 Measures of variability 2.4 Box plots 2.5 Histograms 2.6 Violin plots

Module 3: Probability and Counting

3.1 Introduction to probability 3.2 Addition rule and complements 3.3 Multiplication rule and independence 3.4 Conditional probability and Bayes' Theorem 3.5 Combinations and permutations

Module 4: Probability Distributions

4.1 Introduction to random variables 4.2 Properties of discrete probability distributions 4.3 Binomial distribution 4.4 Hypergeometric distribution 4.5 Poisson distribution 4.6 Properties of continuous probability distributions 4.7 The normal distribution 4.8 The Student's t-Distribution 4.9 The F-distribution 4.10 Chi-square distribution

Module 7: Time Series

7.1 What is a time series? 7.2 Time series patterns and stationarity 7.3 Moving average and exponential smoothing forecasting 7.4 Forecasting using regression

Module 6: Linear Regression

6.1 Introduction to simple linear regression (SLR) 6.2 SLR assumptions 6.3 Correlation and coefficient of determination 6.4 Interpreting SLR models 6.5 Testing SLR parameters 6.6 Multiple regression 6.7 Categorical predictors and non-linear relationships

Module 5: Inferential Statistics

5.1 Confidence intervals 5.2 Confidence intervals for population means 5.3 Confidence intervals for population proportions 5.4 Hypothesis tests 5.5 One-sample hypothesis tests for population means 5.6 One-sample z-test for population proportions 5.7 Two-sample hypothesis tests for population means 5.8 Two-sample z-test for population proportions 5.9 Analysis of variance (ANOVA) 5.10 Chi-square tests for categorical variables

Module 11: Appendix

11.1 t-distribution table 11.2 z-distribution table 11.3 Chi-squared distribution table

Module 10: Ethics

10.1 Misleading statistics 10.2 Abuse of the p-value 10.3 Data privacy 10.4 Ethical guidelines

Module 9: Data Mining

9.1 What is data mining? 9.2 Data preparation 9.3 Analysing results 9.4 Supervised learning 9.5 Unsupervised learning

Module 8: Monte Carlo Methods

8.1 What is a Monte Carlo simulation? 8.2 Building simulations 8.3 Optimisation and forecasting


Each purchase comes with...

Highly effective reading materials

Interactive figures & tables

Practice questions

1 year access

What Our Students Say

“I really enjoyed zyBooks for use in my Python class. It has surely aided my success in class and helped me build some confidence in my first year at university.”

Isaac C.

Cal State University, Long Beach

Recommended Combinations

The Applied Statistics for Data Analytics with Python zyBook will pair well with the following:

Frequently Asked Questions


Will my course fee be subsidised?

No. If you wish to join a course with course fee support*, please check out our Wiley Certified Data Analyst and Unity Certified Associate courses. *Terms & Conditions apply.


I have no prior experience. Will I be able to understand the content taught in the zyBooks?

Yes. Unless otherwise specified, all zyBooks are beginner-friendly.

How much time do I have to spend to complete the course?

It depends on your learning style and speed. We estimate taking about 48 hours to read through the material and complete the interactive quizzes at regular speed. Each zyBook comes with 1 year access, and you should have more than enough time to complete and revise the material with regular reading.

Is there a certification examination?



What is a zyBook?

zyBooks are like interactive, digital textbooks. By incorporating available technology, zyBooks make learning fun, interactive and engaging – all while drastically reducing the time spent on reading long texts.

Why should I buy a zyBook instead of a regular textbook?

zyBooks comprise the same content as a textbook but with minimal text and maximum interactivity. Interactive charts and quizzes are strategically placed, allowing students to cement newly learnt concepts.

Do all the zyBooks you offer come with zyLabs (the interactive lab environment)?

No. If zyLabs are included, it will be specified in the course page.