Essential Excel For Business Statistics and Data Analytics
Learn practical statistical modeling in Excel for business decisions. Analyze data, make predictions, and gain valuable insights. Perfect for business professionals!
Course Content
Essential Excel For Business Statistics and Data Analytics is an all-levels Udemy course taught by Minerva Singh. It runs 3h 39m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 165 reviews, with 970 students enrolled. It is a paid course, first published September 2022.
Are you a business intelligence (BI) practitioner or data analyst looking to unlock valuable insights from your data? Do you work with financial, geographic, demographic, and socio-economic data? If Excel is your go-to tool for common business data analysis and statistics, this course is for you!
I'm Minerva Singh, a seasoned data scientist with a strong academic background (MPhil from Oxford University in Geography and Environment, and a PhD in Computational Ecology from Cambridge University) and years of experience in data analytics and data visualization.
This course is designed for individuals with no prior experience in data analysis or visualization. Whether you've struggled with Excel in the past, you're in the right place! We'll guide you from beginner to proficient in performing common business statistical analysis using Microsoft Excel. You'll learn to:
- Read and Clean Data: Master techniques for importing and cleaning messy data directly within MS Excel.
- Basic Web Scraping: Learn fundamental web scraping with Excel to gather data from online sources.
- Data Manipulation: Perform essential tasks like filtering and pivoting to organize and analyze data effectively.
- Data Pre-processing & Summarization: Extract key insights through data pre-processing and summarization techniques.
- Data Visualization: Develop powerful data visualizations using MS Excel to communicate your findings clearly.
- Statistical Techniques: Understand and apply important statistical techniques, including hypothesis testing and inferential statistics.
- Statistical Analysis: Conduct common statistical analysis such as correlations and regression analysis in Excel.
- Advanced Regression: Incorporate qualitative attributes into your regression models and accurately interpret the results.
Invest in your skills and become proficient in data analytics and visualization with a familiar and powerful tool. We are so confident you'll succeed that we offer a 30-day money-back guarantee. If you're not satisfied, simply request a refund within 30 days of purchase. Enroll today and take control of your data!
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