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Advanced Quantitative Statistics with Excel
Coursera MOOC / Non-credit 0

Advanced Quantitative Statistics with Excel

About 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.

B

69/100

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What the provider tells you
45/45
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8/35
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16/20

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What you'll learn

  • Perform regression analysis in Excel to predict outcomes based on multiple variables
  • Conduct hypothesis testing to validate business assumptions and decisions
  • Analyze pricing data and production quality metrics using advanced Excel techniques
  • Apply statistical methods to real-world business scenarios in marketing and manufacturing
  • Visualize and interpret complex datasets to support strategic decision-making

Course objectives

  • Master advanced Excel features for complex data analysis tasks
  • Build proficiency in applying regression analysis to business problems
  • Develop the ability to transform raw data into actionable business insights
  • Strengthen analytical skills for data-driven decision-making in professional roles
Data Analysis #business analytics #data visualization #excel #regression analysis #hypothesis testing #statistical analysis #quantitative analysis #pricing analysis #quality control #descriptive statistics #variance #standard deviation #confidence intervals #predictive modeling #manufacturing analytics
$49.00

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