Course Catalog

Statistics for Data Analysis Using Excel 2016

Description

Welcome to "Statistics for Data Analysis Using Excel 2016," 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.

Testimonials: What are other students saying about this course?

★★★★★ "Very structured and clear lessons on how each Excel function can be used for different statistical analysis. I have benefited tremendously from attending this course." - Kang Han Qi

★★★★★ "I have learned a lot already and it is still a long way to go!" - Dennis Dominic Mendoza

★★★★★ "Great course, great synergy between theory and practical use." - Patrick Silangit

★★★★★ "This is awesome and really easy to understand the statistical concepts without any stress for a guy like me who used to fail in math classes." - Lester Deepak Martis

★★★★★ "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!!" - 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." - Arumugam K Chandrasekar

★★★★★ "I am a fan of his teachings. It is recommended to every other person who is not confident in Statistics and wants to be a pro." - Apnatav Bhatia

★★★★★ "Brilliant course. Takes the difficult, sometimes even boring statistics model and breaks them into easy bite-sized portions. Explains the theory behind it and then the Excel way of doing it." - 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." - Dr. Stanley Adjabeng

Who This Course Is For:

Business Analysts
Data Analysts
Financial Analysts
Students and professionals looking to enhance their data analysis skills using Excel
Anyone interested in learning statistics to make data-driven decisions

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