MASTER DATA ANALYTICS

Question 1

Module 1: Data Visualisation

Answer

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

Question 2

Module 2: Descriptive Statistics

Answer

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

Question 3

Module 3: Probability and Counting

Answer

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

Question 4

Module 4: Probability Distributions

Answer

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

Question 5

Module 7: Time Series

Answer

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

Question 6

Module 6: Linear Regression

Answer

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

Question 7

Module 5: Inferential Statistics

Answer

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

Question 8

Module 11: Appendix

Answer

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

Question 9

Module 10: Ethics

Answer

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

Question 10

Module 9: Data Mining

Answer

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

Question 11

Module 8: Monte Carlo Methods

Answer

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

Question 12

Will my course fee be subsidised?

Answer

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.

Question 13

Answer

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

Answer

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.

Answer

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.

Answer

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.

Answer

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

Question 14

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

Question 15

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

Question 16

Is there a certification examination?

No.

Question 17

What is a zyBook?

Question 18

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

Question 19

MASTER DATA ANALYTICS

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Overview

Research Proven Excellence

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What is a zyBook?

Course Details

Module 1: Data Visualisation

Module 2: Descriptive Statistics

Module 3: Probability and Counting

Module 4: Probability Distributions

Module 7: Time Series

Module 6: Linear Regression

Module 5: Inferential Statistics

Module 11: Appendix

Module 10: Ethics

Module 9: Data Mining

Module 8: Monte Carlo Methods

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PAYMENT

Will my course fee be subsidised?

CURRICULUM

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

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

Is there a certification examination?

ZYBOOKS

What is a zyBook?

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

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