Master Data Analysis in 10 Minutes on Excel
Learn data analysis fundamentals and key analytical skills on Excel in just 10 minutes. No experience required. Discover descriptive statistics, analyze sales data, and create pivot tables.
00:00:00 Learn data analysis fundamentals: data transformation, descriptive statistics, analysis, and report visualization on Excel. Clean and transform data, remove odd spacing, and update values.
š Learn the fundamentals of data analysis, including transforming and cleaning up the data, creating descriptive statistics, and conducting data analysis.
š§¹ Transform and clean up the data by converting it into a table and removing unnecessary spaces using the TRIM function in Excel.
š Generate descriptive statistics to gain a better understanding of the data.
00:01:47 Learn how to round up numbers, add country names to city data, and remove duplicates in Excel.
š¢ Using the ROUNDUP formula, we rounded up a number to get a whole number.
š By using the data types feature in Excel, we added the corresponding country to each city.
š We removed duplicate values from the table by using the remove duplicates function.
00:03:35 Learn data analysis on Excel in just 10 minutes. No prior experience required. Gain key analytical skills and receive a Google professional certification.
š Google's data analytics professional certificate offers job-ready skills for data analytics roles, with over 1 million students enrolled and a 4.8 star rating.
š Descriptive statistics in data analysis include finding the average, minimum, and maximum values, and the Data Analysis tool in Excel can expedite this process.
š The Google professional certification provides skills in data cleaning, analysis, and visualization using industry tools like spreadsheets, SQL, and R programming.
00:05:26 Learn how to perform data analysis in Excel using the analysis toolpack. Discover descriptive statistics and create box and whisker charts.
š» By enabling the Analysis Toolpak in Excel, users can perform data analysis and generate descriptive statistics for their data.
š Users can summarize data using descriptive statistics, such as mean, median, mode, minimum, and maximum, for both price and quantity.
š To account for outliers in pricing data, users can create a box and whisker chart to visually identify maximum and minimum values.
00:07:11 Learn how to analyze data using Excel in just 10 minutes. Explore quartiles, average, median, and outliers. Analyze sales data by manager, calculate revenue, and use pivot tables for analysis.
š The video demonstrates how to analyze data using Excel, including finding quartiles, averages, medians, and outliers.
š The video shows how to further analyze the data by adding labels to the x-axis, such as the name of the manager, to identify potential data inaccuracies.
š¼ The video covers data analysis techniques, including calculating revenue, identifying the best selling product, and analyzing revenue breakdown by payment method using pivot tables.
00:09:02 Learn how to analyze data in Excel using pivot tables in just 10 minutes. Find the best-selling product, total revenue, and breakdown by payment method.
Create a pivot table to analyze data
Identify the best selling product
Calculate the total revenue
Breakdown revenue by payment method
00:10:50 Learn data analysis on Excel quickly with drop-down menus, X lookup, sum ifs, and conditional formatting. Check out the video for more!
š Using data validation and X lookup, the video demonstrates how to dynamically change data based on the selected manager in Excel.
š° The sum ifs formula is used to calculate the revenue for fries and other products for a specific manager, as well as the total revenue.
šÆ Conditional formatting is applied to create data bars for visual representation of the data.
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