Statistics for Data Analysis Using Excel

Statistical Data Analysis for beginners: Descriptive a Inferential statistics, Hypothesis testing.
4.17 (27 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Statistics for Data Analysis Using Excel
106
students
3.5 hours
content
Jul 2020
last update
$19.99
regular price

Why take this course?

πŸ“Š Statistics for Data Analysis Using Excel: A Comprehensive Guide for Beginners

πŸš€ Course Headline: Master the Art of Statistical Data Analysis: From Basics to Advanced Techniques πŸ“ˆ

🧿 Course Description: Embark on a journey to become proficient in data analysis by leveraging the powerful tools within Microsoft Excel. This course is meticulously designed for beginners, providing a solid foundation in statistical concepts and their practical applications in data analysis.

πŸ“š What You'll Learn:

  • βœ… The Basics of Statistics: Grasp the fundamental principles that underpin data analysis.
  • βœ… Descriptive Statistics: Discover how to interpret and present data with mean, mode, and median.
  • βœ… Variability: Understand measures like standard deviation, variance, and range to quantify data dispersion.
  • βœ… Population vs. Sampling: Learn the importance of selecting representative samples for data analysis.
  • βœ… Probability Distributions: Explore different distributions that model real-world phenomena.
  • βœ… Hypothesis Testing: Develop critical thinking skills by testing assumptions through various z, t, p, and F Tests.
  • βœ… ANOVA (Analysis of Variance): Perform manual calculations and utilize Excel to compare means across different groups.
  • βœ… Correlation and Regression: Analyze relationships between variables and predict future trends.

πŸ” Hands-On Learning with Real Data: Throughout the course, you'll apply your learning by working with various examples and datasets, ensuring you can confidently use Excel for statistical analysis in real-world scenarios.

🎯 Key Features of the Course:

  • Step-by-step instructions on using Excel for statistical analysis.
  • A comprehensive look at descriptive and inferential statistics.
  • Hands-on practice with hypothesis testing, including one-sample and two-samples t tests, ANOVA, and more.
  • Clear explanations of probability distributions and their applications.
  • Engaging exercises to solidify your understanding of statistical concepts.

πŸŽ“ Learning Objectives: Upon completing this course, you will be able to:

  • βœ… Calculate simple probabilities with confidence.
  • βœ… Utilize Excel's formulas to find mean, median, and mode.
  • βœ… Differentiate and calculate statistical terms related to variance.
  • βœ… Create frequency polygons and interpret their components.
  • βœ… Understand the operation of t-distributions and their significance.
  • βœ… Determine a chi-square and understand its implications.

🌟 Why Enroll in This Course? By enrolling in this course, you'll gain marketable data analytic skills that are highly sought after across various industries. Whether you're looking to enhance your career prospects or simply satisfy your curiosity for statistics and data analysis, this course will provide you with the knowledge and tools you need to succeed.

πŸ“… Start Your Data Analysis Journey Today! Join us and transform your ability to interpret and analyze data using Excel's statistical functions. With practical examples, expert guidance, and a focus on both theory and application, this course is the perfect starting point for your journey into the world of statistics and data analysis.

πŸ’‘ Sign up now and unlock your potential in data analytics! πŸš€

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Related Topics

3308206
udemy ID
07/07/2020
course created date
07/08/2020
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