Course description
Intro Course: Spreadsheets and Statistics
Spreadsheet proficiency is a superpower. Learn how to use the various functionalities of Google Sheets to manipulate, inspect, and interpret data, separating the noise from what’s actually happening in your data set.
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Who should attend?
Prerequisites
None
Training content
Introduction to Spreadsheets
- The anatomy of a spreadsheet
- Applying basic formatting to data to improve readability
- Manipulating data using rows, columns, and ranges
- Using Formulas and calculations
- Creating charts in Google Sheets and using spreadsheets to communicate insights.
Data Preparation
- The importance of data preparation for effective data analysis
- Importing data from different sources
- Working with datasets in Google Sheets
- Raw data characteristics and common issuesData cleaning
- Using pivot tables to summarize data
- Creating dashboards in Google Sheets
Statistics Fundamentals
- Mean, median, and mode definitions and finding them in Google Sheets
- Visualizing the mean in a chart
- Identifying min, max, and range of a data set
- Methods for inspecting data
- Using and interpreting bar charts, line charts, and histograms
Exploratory Data Analysis
- Identifying patterns of data distribution
- Skew, distribution, and percentilesCalculating variance
- Calculating standard deviation
- Calculating z-score and interpreting it visually
- Creating and interpreting scatterplots
Course delivery details
20-40 hours per week
Costs
- Verified Track -$99
- Audit Track - Free
Certification / Credits
What you'll learn
- Master the basics of data analysis in Google Sheets with formatting, formulas, calculations, and charts.
- Prepare data by importing from disparate sources and reducing noise with data cleaning tactics.
- Evaluate the quality of your data and how to best use it.
- Utilize out-of-box statistical visualizations to aid in your exploratory data analysis.
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