Statistics & Excel

Unlock the Power of Statistical Analysis and Excel in Data-Driven Decision-Making for Various Fields

Created by: Robert (Bob) Steele
CPA, CGMA, M.S. Tax, CPI

What Will I Learn?

• Perform In-Depth Data Analysis: Dive deep into diverse datasets, applying statistical techniques to uncover meaningful insights and trends.
• Create Powerful Data Visualizations: Develop informative data visualizations using tools like Excel, making complex data easy to understand.
• Build Predictive Models: Construct predictive models to forecast future outcomes accurately.
• Drive Strategic Decision-Making: Use statistical insights to guide strategic decisions across diverse professional contexts.
• Communicate Data Findings: Enhance your data communication skills, conveying results persuasively through various mediums.
• Calculate and interpret key descriptive statistics such as mean, median, mode, variance, and standard deviation to summarize data effectively.
• Understand the fundamental principles of probability, including probability distributions, random variables, and their applications in real-life scenarios.
• Create clear and informative data visualizations, such as histograms, scatter plots, and box plots, to communicate insights effectively.

Requirements

• Basic Math Skills: A fundamental understanding of arithmetic, algebra, and basic mathematical concepts is required.
• Access to Microsoft Excel: You should have access to Microsoft Excel or equivalent spreadsheet software for hands-on exercises and projects.
• Curiosity and Dedication: Approach the course with a curious mindset and a dedication to learning, as statistics can be challenging but rewarding.
• Computer and Internet Access: You'll need a computer or laptop with internet access to participate in the course materials and online resources.
• Openness to Data Analysis: Be open to exploring data, drawing conclusions, and making data-driven decisions in various fields.

Target audience

• Students: Undergraduate students studying statistics or related fields who want a solid foundation in statistical concepts and data analysis.
• Professionals: Working professionals seeking to enhance their data analysis skills, make informed decisions, and improve their job prospects.
• Entrepreneurs: Entrepreneurs and small business owners looking to utilize data-driven insights for business growth and decision-making.
• Data Enthusiasts: Anyone passionate about understanding the world through data analysis and gaining practical knowledge of statistics.
• Researchers: Researchers from various disciplines who want to strengthen their statistical analysis skills for academic or professional research
• Self-Learners: Individuals interested in self-paced learning, regardless of their educational or professional background, who wish to acquire statistical expertise.
• Excel Users: Individuals familiar with Microsoft Excel who want to explore its statistical capabilities for practical applications.