Statistics for Data Analysis Using Excel (Accredited)

About This Course

Descriptive and Inferential Statistics Theory With Excel Examples for Business / Six Sigma - Get 14 PMI PDUs/PDCs/CPDs

Note: Students who complete this course can apply for the certification exam by Quality Gurus Inc. and achieve the Verified Certification from Quality Gurus Inc. It is optional, and there is no separate fee for it. Quality Gurus Inc. is the Authorized Training Partner (ATP # 6034) of the Project Management Institute (PMI®) and the official Recertification Partner of the Society for Human Resource Management (SHRM®)

The verified certification from Quality Gurus Inc. provides you with 14.0 pre-approved PMI PDUs and 14.0 SHRM PDCs at no additional cost to you.

This course is accredited by The CPD Group (UK). You are eligible to claim 14.0 CPDs for this course (Accreditation# 1016204)

Welcome to "Statistics for Data Analysis Using Microsoft Excel," a comprehensive course designed to teach you both descriptive and inferential statistics through simple yet practical examples. This course will show you how to harness the power of Microsoft Excel to perform statistical calculations effortlessly, eliminating the need to memorize long formulas and equations. By the end of this course, you will be able to use statistics to solve business problems and make fact-based decisions.

What You'll Learn:

• Descriptive and Inferential Statistics: Understand and apply statistical concepts from basic to advanced levels.

• Microsoft Excel Proficiency: Use Excel to perform statistical calculations, making data analysis straightforward and efficient.

• Data Interpretation: Make sense of vast amounts of data to make informed decisions based on factual analysis.

• Data Visualization: Learn to create and interpret histograms, box and whisker plots, and scatter plots to visualize data effectively.

Course Structure: This course includes video lectures, practical exercises, and examples to help you understand and apply statistical concepts using Microsoft Excel.

Detailed Topics Covered:

Section 1: Introduction to Statistics and Data Analysis

• Basic Concepts: Learn the foundational concepts of statistics and data analysis.

• Excel for Data Analysis: Get introduced to using Excel for statistical calculations and data analysis.

Section 2: Descriptive Statistics

• Measures of Central Tendency: Calculate and interpret mean, mode, and median.

• Measures of Spread: Understand and compute quartiles, range, interquartile range, and standard deviation.

Section 3: Data Visualization

• Histograms: Create and interpret histograms to understand data distribution.

• Box and Whisker Plots: Use box plots to visualize data spread and identify outliers.

• Scatter Plots: Analyze relationships between variables using scatter plots.

Section 4: Probability

• Basic Probability Concepts: Understand permutations, combinations, and basic probability.

• Probability Distributions: Explore normal, binomial, and Poisson distributions and their applications.

Section 5: Population and Sampling

• Understanding Populations and Samples: Learn the difference between populations and samples.

• Sampling Techniques: Discover various sampling methods and their importance in statistics.

Section 6: Hypothesis Testing

• One Sample Tests: Conduct one-sample z-tests, t-tests, and p-tests.

• Two Sample Tests: Perform two-sample z-tests, t-tests, and p-tests.

• F Test and Chi-Square Test: Understand and apply these tests for hypothesis testing.

Section 7: Analysis of Variance (ANOVA)

• ANOVA Basics: Learn to perform Analysis of Variance (ANOVA) step by step.

• Manual Calculations and Excel: Conduct ANOVA calculations manually and using Excel to understand the process thoroughly.

What are other students saying about this course?

• He's better than all my university lecturers, very clear, concise and seamless progression of the evolution of concepts in a systematic way that makes it easy to understand...Bravo!!  (5 stars by Ayanda Peter)

• A well-planned curriculum, fantastic resources for downloads, professionally presented slides, very easy to understand, truly the best course for every financial analyst.  (5 stars by Arumugam K Chandrasekar)

• I am fan of his teachings. it is recommended to every other person who is not confident in Statistics and want to be a pro. (5 stars by Apnatav Bhatia)

• Its more than my expectations, absolutely wonderful since it start with basics. (5 stars by Boikaego Raditlatla)

• Great course for learning business statistics or statistics in general. (5 stars by Sudesh Pandey)

• Brilliant course. Takes the difficult, sometimes even boring Statistics model and breaks them into easy bite size portions. Explains the theory behind it and then the Excel way of doing it. (5 stars by Karthikeyan Stalin)

• The self study step by step and the excel examples are very great. I can follow the course and practice on my computer alongside. Thank you for putting this whole thing together. Not a very exciting subject to teach so I appreciate being able to put this long course together to make it easy for people like us to utilize and study. (5 stars by Dr Stanley Adjabeng)

Continuous Professional Development (CPD) Units:

• For the ASQ® Recertification Units (RUs), we suggest 1.40 RUs under the Professional Development > Continuing Education category.

• For PMI®, 14.0 pre-approved PDUs can be provided after completing our optional/free certification exam. The detailed steps for taking Quality Gurus Inc. certification with preapproved PDUs are provided in the courses.

What are you waiting for?

This course comes with Udemy's 30 days money-back guarantee. If you are not satisfied with the course, get your money back.

I hope to see you on the course.

• Master the essentials of descriptive and inferential statistics through straightforward and practical examples, making complex concepts easy to grasp.

• Harness the power of Microsoft Excel to perform a wide range of statistical calculations, eliminating the need to remember long and complex formulas.

• Gain a solid foundation in statistics, from basic principles to advanced applications, enabling you to solve business problems efficiently using Excel.