Are you looking to enter the exciting world of data analysis and business intelligence but unsure where to start with statistics? Look no further than the Essential Statistics for Data Analysis course. With its project-based approach designed to simplify and demystify statistics, this course makes even the most complex concepts accessible to everyday people with no background in math or stats.
What You'll Learn
The Essential Statistics for Data Analysis course covers a range of topics to equip you with the statistical knowledge you need to make informed decisions in your data analysis work. You'll begin by learning about the role of statistics in business intelligence, the difference between population and sample data, and how to use statistical techniques to make smart predictions and data-driven decisions.
From there, you'll explore data using descriptive statistics and probability distributions, getting introduced to the normal distribution and empirical rule. You'll learn how to make estimates with confidence intervals and use hypothesis tests to evaluate assumptions about unknown population parameters. Finally, you'll be introduced to the fundamentals of regression analysis to explore the difference between correlation and causation and practice using basic linear regression models to make predictions.
All of these concepts will be put into practice through hands-on, project-based examples, including analyzing student data to predict future performance at Maven Business School, developing statistical models for use in a variety of industries, and more.
Course Structure
The Essential Statistics for Data Analysis course is structured to help you learn and practice key skills quickly and efficiently. You'll get 7.5 hours of video content, as well as a 150-page PDF ebook, downloadable Excel project files, and expert support through a Q&A forum. The course is split into six sections:
- Why Statistics?: This section introduces the role of statistics in business intelligence and decision-making, as well as the statistics workflow.
- Understanding Data with Descriptive Statistics: Here, you'll learn how to use descriptive statistics to understand data, including frequency distributions and measures of central tendency and variability.
- Modeling Data with Probability Distributions: This section takes a look at how to model data with probability distributions and introduces the normal distribution and how to calculate probabilities using it.
- The Central Limit Theorem: Learn about the importance of the central limit theorem to make inferences on populations of any distribution using the normal distribution.
- Making Estimates with Confidence Intervals: This section teaches about making estimates with confidence intervals and how to use sample statistics to define a range where an unknown population parameter likely lies.
- Drawing Conclusions with Hypothesis Tests: The final section is about hypothesis tests, which let you evaluate assumptions about population parameters using sample statistics.
Each section is further broken down into sub-sections and includes hands-on projects to help you practice the concepts.
Course Rating and Reviews
The Essential Statistics for Data Analysis course has an impressive course rating aggregate of 4.72353 out of 5 based on 412 reviews. Students have praised the course's hands-on, project-based approach and the ability to teach complex concepts in an accessible way.
One student said, "This course is perfect for anyone looking to learn statistics for data analysis, regardless of math or stats experience. The projects and real-world examples make the concepts easy to understand and apply."
Another student said, "The instructor is engaging and knowledgeable, and the course is well-structured and easy to follow along with. I was able to apply what I learned in the course immediately in my work."
Enrollment and Course Access
If you're an analyst, data scientist, or business intelligence professional looking to use statistics to make better, data-driven decisions, the Essential Statistics for Data Analysis course is an excellent choice for you. Enrollment includes immediate, lifetime access to all course materials, including video content, a PDF ebook, downloadable project files, and expert support. Plus, with a 30-day satisfaction guarantee, you can try the course risk-free and see for yourself how valuable it can be.
Don't let statistics hold you back from achieving your data analysis goals. Join the Essential Statistics for Data Analysis course today and gain the statistical knowledge you need to succeed.
