Master Statistics: From Zero to Data Savy

Master Statistics: From Zero to Data Savy free download

A beginner-friendly journey through statistics with real-world applications and hands-on Excel practice.

This 84-lessons statistics course is structured to build your knowledge progressively—starting with the absolute basics and moving toward advanced topics. It covers everything from types of data and sampling techniques to inferential statistics and hypothesis testing. Each lecture is designed to simplify complex topics using real-life examples, Excel demonstrations, and clear visuals to help you not just understand statistics, but apply it with confidence. 15 reasons to take this course:

1. Master the fundamentals of statistics, including key vocabulary, types of data, and essential sampling techniques used in real-world data collection.

2. Learn how to organize and visually display data through frequency tables, histograms, box plots, polygons, and ogives, with practical Excel demonstrations to reinforce skills.

3. Gain a solid understanding of central tendency (mean, median, mode) and variability measures (range, IQR, variance, standard deviation), including how to calculate and interpret them manually and in Excel.

4. Explore Z-scores, outliers, and the Empirical Rule to understand data distribution and identify unusual observations.

5. Build foundational knowledge of probability theory, including OR, AND, and conditional probabilities, and work with contingency tables to evaluate event relationships.

6. Dive into discrete probability distributions, including how to compute expected values and standard deviations, with a strong focus on binomial distributions and Excel applications.

7. Study continuous probability distributions, such as the uniform and normal distributions, and use Excel tools to calculate percentiles, Z-scores, and related probabilities.

8. Understand and apply the Central Limit Theorem to sampling distributions for both means and proportions, enabling inference from sample data.

9. Learn how to construct and interpret confidence intervals and grasp the logic and procedures behind hypothesis testing, including how to find critical values.

10. Perform proportion-based inference, including confidence intervals and one- and two-tailed hypothesis tests, as well as comparisons between two proportions.

11. Conduct inference for population means using the t-distribution, including hypothesis testing and confidence intervals with both summary and raw data.

12. Identify and execute matched pairs and two-sample hypothesis tests for means to compare dependent and independent groups.

13. Analyze relationships between variables using correlation and regression analysis, including calculating regression equations, estimating values, and conducting tests on regression slopes.

14. Explore categorical data analysis using chi-square tests, including tests for standard deviation, goodness of fit, and independence with contingency tables.

15. Utilize Excel’s Data Analysis Toolpak to conduct ANOVA tests for comparing multiple means and reinforce core concepts through comprehensive review sessions on descriptive statistics, probability, and inferential methods.

YOU'LL ALSO GET:

• Lifetime access to Become a Probability & Statistics Master

• Friendly support in the Q&A section

• Udemy Certificate of Completion available for download

• 30-day money back guarantee

With hands-on demonstrations in Excel, you'll not only learn the concepts but also how to apply them in real-life contexts.

By the end, you’ll not only “get” statistics—you’ll be able to use it to make better decisions, analyze data more effectively, and communicate your insights with clarity. This course is thought by renouned instructor Tyler Wallace.