Microsoft is providing a chance to join the free online course named as “Essential Statistics for Data Analysis using Excel”. The course designed to gain a solid understanding of statistics and basic probability, using Excel, and build on your data analysis and data science foundation.
In this free online course, you will learn about descriptive statistics, basic probability, random variables, sampling and confidence intervals, and hypothesis testing. The course will start on March 28, 2017.
Course At A Glance
- Length: 6 weeks
- Effort: 2-4 hours per week
- Subject: Data Analysis & Statistics
- Institution: Microsoft
- Languages: English
- Price: Free
- Certificate Available: Yes
- Session: The course will start on March 28, 2017
Providers Details
- About University: Microsoft or MS is an American multinational technology company headquartered in Redmond, Washington, that develops, manufactures, licenses, supports and sells computer software, consumer electronics, and personal computers and services. Its best-known software products are the Microsoft Windows line of operating systems, Microsoft Office office suite, and Internet Explorer and Edge web browsers.
- Aim of University: Microsoft aims to form partnerships with governments, nonprofits and other corporations to help advance this effort, which centers on a cycle of improving education, local innovation, and job creation.
Requirements
- 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
About This Course
- Benefits: In this course use the powerful tools built into Excel, and explore the core principles of statistics and basic probability—from both the conceptual and applied perspectives. The language of the course is English.
- Importance of the Subject in Today’s Scenario: Excel is a fine spreadsheet, it is not a statistical data analysis package. In all fairness, it was never intended to be one. If you attempt to use it for more extensive analyses, you will encounter difficulties due to any or all of the following limitations.
How to Join This Course
You should register yourself through the given link to join this free on-line course: https://courses.edx.org/register
Course Format
- Module 1: Descriptive Statistics
You will learn how to describe data using charts and basic statistical measures. Full use will be made of the new histograms, Pareto charts, Boxplots, and Treemap and Sunburst charts in Excel 2016.Module 2: Basic Probability
You will learn basic probability including the law of compliments, independent events, conditional probability and Bayes Theorem.Module 3: Random Variables
You will learn how to find the mean and variance of random variables and then learn about the binomial, Poisson, and Normal random variables. We close with a discussion of the beautiful and important Central Limit Theorem.Module 4: Sampling and Confidence Intervals
You will learn the mechanics of sampling, point estimation, and interval estimation of population parameters.Module 5: Hypothesis Testing
You will learn null and alternative hypotheses, Type I and Type II error, One sample tests for means and proportions, Tests for a difference between means of two populations, and the Chi Square Test for Independence.
Why Take This Course
- Advantage of Course: You will get knowledge that how to use 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.
- Certificate: You can pursue a verified certificate to highlight the knowledge and skills you gain ($49), Add the certificate to your CV or resume, or post it directly on LinkedIn. Receive an instructor-signed certificate with the institution’s logo to verify your achievement and increase your job prospects.
Learning Outcomes
- Descriptive statistics
- Basic probability
- Random variables
- Sampling and confidence intervals
- Hypothesis testing
Instructors
- Wayne Winston: He is Professor Emeritus of Decision Sciences at the Kelly School of Business at Indiana University.
- Liberty J. Munson: Liberty is the Principal Psychometrician and Quality Lead for Microsoft Learning’s technical certification and assessment program.
- Matthew Minton: Matthew is a Senior Content Publishing Manager at Microsoft. He leads a dedicated team of teach professionals that plan and create courses for aspiring and experienced data and analytics professionals.
Suggested Reading
You should be familiar with organizing and summarizing data using Excel analytic tools, such as tables, pivot tables, and pivot charts.
You Might Also Be Interested In
If you are interested you can also join “Introduction to Data Analysis using Excel” free online course.
Conclusion
- 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.
- Your Certificate provides a detailed transcript of what you’ve learned. This includes how long you spent studying the course and your average test score. The Certificate and transcript give you evidence to show during job or university applications, or appraisals.
Detailed Information
For more information about the course, you can check the given link:
https://www.edx.org/course/essential-statistics-data-analysis-using-microsoft-dat222x#!
