Show findcourses.com as: Mobile

Essential Statistics for Data Analysis using Excel

QuickStart
Training overview
16 hours
44.99 USD
Next start date: Start anytime! - Online
Professional Course

Course description

Essential Statistics for Data Analysis using Excel

About this course

If you’re considering a career as a data analyst, you need to know about histograms, Pareto charts, Boxplots, Bayes’ theorem, and much more. In this applied statistics course, the second in our Microsoft Excel Data Analyst XSeries, use the powerful tools built into Excel, and explore the core principles of statistics and basic probability—from both the conceptual and applied perspectives. Learn about descriptive statistics, basic probability, random variables, sampling and confidence intervals, and hypothesis testing. And see how to apply these concepts and principles using the environment, functions, and visualizations of Excel.

As a data science pro, the ability to analyze data helps you to make better decisions, and a solid foundation in statistics and basic probability helps you to better understand your data. Using real-world concepts applicable to many industries, including medical, business, sports, insurance, and much more, learn from leading experts why Excel is one of the top tools for data analysis and how its built-in features make Excel a great way to learn essential skills.

Before taking this course, you should be familiar with organizing and summarizing data using Excel analytic tools, such as tables, pivot tables, and pivot charts. You should also be comfortable (or willing to try) creating complex formulas and visualizations. Want to start with the basics? Check out Introduction to Data Analysis using Excel. As you learn these concepts and get more experience with this powerful tool that can be extremely helpful in your journey as a data analyst or data scientist, you may want to also take the third course in our series, Analyzing and Visualizing Data with Excel

This course includes excerpts from Microsoft Excel 2016: Data Analysis and Business Modeling from Microsoft Press and authored by course instructor Wayne Winston.

Who should attend?

Audience:

  • Data Scientists

Prerequisites:

  • Secondary school (high school) algebra
  • Ability to work with tables, formulas, and charts in Excel
  • Ability to organize and summarize data using Excel analytic tools such as tables, pivot tables, and pivot charts
  • Excel 2016 is required for the full course experience. Excel 2013 will work but will not support all the visualizations and functions.

Training content

Course Objective:

  • Descriptive statistics
  • Basic probability
  • Random variables
  • Sampling and confidence intervals
  • Hypothesis testing

Why choose QuickStart?

98% increased workplace productivity

94% instructor and course effectiveness

Partnered with vendors including Microsoft, Cisco, and Citrix

About QuickStart

Meet your career goals with QuickStart!

QuickStart exists to create world-class technologists by personalizing and individualizing training to address the massive skills gap in the IT industry. Through 20 years of research and data analysis, we’ve learned that a modern learner prefers to learn through multiple...


Read more and show all training delivered by this supplier

Contact info

QuickStart

1101 S Capital of Texas Hwy - Building J, Suite 202
78746 Austin Texas

Training reviews

No reviews available

Need help with your search?

findcourses.com offers a free consultancy service to help compare training for you and your team

Request a free quote

Request a free training quote