Advanced Quantitative Statistics with Excel
This course on Advanced Quantitative Statistics with Excel equips learners with skills in hypothesis testing and regression analysis, using Excel's Analysis ToolPak to analyze real-world data, solve business problems, and drive informed decisions.
In partnership with: 
Overview
1KSTUDENTS*
97.8%RECOMMEND*
This course includes:
- 1 hours of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
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. 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.
Skills You Will Gain
Data Analysis
Excel
Hypothesis Testing
Statistics
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- 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
Prerequisites
Basic proficiency in Microsoft Excel is required, along with an understanding of basic statistical concepts such as measures of central tendency, dispersion, and confidence intervals. These foundational skills will help learners grasp more advanced data analysis techniques in the course.
Who Should Attend
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.
