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.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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