Advanced Quantitative Statistics with Excel
Advanced Quantitative Statistics with Excel
This course is part of multiple programs.
Instructors: Diogo Resende
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What you'll learn
Practice with Excel's Analysis ToolPak to perform advanced statistical analysis.
Evaluate various hypothesis tests within Excel, including t-tests and ANOVA.
Analyze business problems with the use of Excel to conduct simple and multiple regression analyses
Skills you'll gain
- Data Manipulation
- Statistical Modeling
- Correlation Analysis
- Case Studies
- Statistical Hypothesis Testing
- Spreadsheet Software
- Statistical Methods
- Data Visualization
- Statistical Analysis
- Data Analysis
- Business Analysis
- Regression Analysis
- Variance Analysis
- Probability & Statistics
- Statistical Inference
- Data-Driven Decision-Making
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There is 1 module in this course
This comprehensive course is tailored specifically for data analysts, business professionals, and anyone looking to significantly enhance their proficiency in Microsoft Excel for complex data analysis tasks. By exploring a wide range of advanced Excel features and techniques, participants will gain the ability to analyze and interpret data to make informed business decisions.
Learners will be introduced to real-world applications, using Excel to tackle diverse scenarios. The main case study will focus on Marketing, specifically the pricing of diamonds based on their characteristics and analyzing production quality data in manufacturing. By the end of the case study, learners will feel empowered to apply regression analysis to problems in their own field. This practical approach ensures that learners will leave the course equipped to handle complex data analysis challenges, providing them with the skills to conduct hypothesis testing, regression analysis, and more. The course is designed for Business Analysts and Data Analysts seeking to enhance their analytical skills and improve their decision-making capabilities. It is ideal for professionals who regularly handle data, generate reports, and provide insights to support business strategies. Participants are expected to have a keen interest in leveraging data to drive organizational success and be open to learning advanced analytical techniques and tools. Participants should be proficient in Microsoft Excel for data manipulation, analysis, and visualization. They should also understand fundamental statistical concepts, including measures of central tendency (mean, median, mode), dispersion (range, variance, standard deviation), and confidence intervals. This foundation will help them grasp more complex analytical methods and apply them effectively in their roles. By the end of this course, learners will have mastered the necessary tools to effectively visualize, analyze, and interpret data using Excel, making them invaluable assets in their professional fields. This course will empower participants to transform raw data into compelling insights, driving business strategies and achieving better outcomes.
This comprehensive course is tailored specifically for data analysts, business professionals, and anyone looking to significantly enhance their proficiency in Microsoft Excel for complex data analysis tasks.
What's included
16 videos4 readings3 assignments
16 videosβ’Total 73 minutes
- Introduction to the Course & Meet Your Instructorβ’2 minutes
- Basics of Hypothesis Testing β’4 minutes
- Understanding P-Values and Statistical Significance β’4 minutes
- Z-tests for Known Variance β’5 minutes
- Conducting a Simple Z-Test in Excel β’7 minutes
- Understanding One-Tailed Tests β’4 minutes
- Performing a One-Tailed Test in Excel with Videoβ’5 minutes
- Understanding the Two-Sample T-Test β’4 minutes
- Performing a Two-Sample T-Test in Excel β’6 minutes
- Introduction to ANOVA β’4 minutes
- Conducting ANOVA in Excel β’5 minutes
- Introduction to Linear Regressionβ’3 minutes
- Conducting Linear Regression in Excel β’7 minutes
- Exploring Multilinear Regressionβ’4 minutes
- Conducting Multilinear Regression in Excel β’6 minutes
- Congratulations and Continuous Learning Journeyβ’2 minutes
4 readingsβ’Total 20 minutes
- Welcome to the Course: Course Overviewβ’5 minutes
- A Fundamental Problem of Hypothesis Testing with Finite Inventory in E-Commerce β’5 minutes
- Consequences of Having a Large Sample Size β’5 minutes
- How Regression Analysis should NOT Be Used β’5 minutes
3 assignmentsβ’Total 80 minutes
- Advanced Quantitative Statistics with Excelβ’20 minutes
- Your Turn! Practice Assignment β’30 minutes
- Your Turn! Practice Assignment β’30 minutes
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Reviewed on Oct 11, 2024
It was great but a little confusing with basic concepts
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