Google Sheets for Data Analysis Pivot Tables
-- ViewingNowGoogle Sheets Pivot Tables are powerful tools for data analysis. They summarize large datasets quickly.
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课程详情
- Pivot Table Basics: Understanding rows, columns, values, and filters in Google Sheets Pivot Tables
- Data Cleaning for Pivot Tables: Preparing your data for accurate analysis using Google Sheets functions
- Pivot Table Calculations: Working with SUM, AVERAGE, COUNT, and other aggregate functions in your Pivot Table
- Google Sheets Pivot Table Filtering: Refining your analysis with filter options for efficient data exploration
- Pivot Table Slicers: Enhancing interactivity and data exploration using slicers in Google Sheets
- Pivot Table Charts: Creating charts directly from your Pivot Table for visual data analysis
- Advanced Pivot Table Features: Exploring calculated fields and custom calculations
- Pivot Table Data Validation: Ensuring data accuracy before creating your Pivot Table
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Career Role (Primary Keyword: Software ) Salary Range (GBP) Skill Demand (Secondary Keyword: Developer ) Description Software Developer (Frontend) 35000 - 65000 High Experienced Frontend Developers in high demand, especially those proficient in React, Angular, or Vue.js.
Software Engineer (Backend) 40000 - 75000 Medium Backend Engineers with skills in Java, Python, or Node.js are sought after.
Database experience is a plus.
Data Scientist (Analyst) 50000 - 90000 High Strong demand for Data Scientists skilled in data mining, statistical modelling, and machine learning.
Cybersecurity Analyst (IT Security) 45000 - 80000 High Growing need for skilled Cybersecurity Analysts with expertise in threat detection and response.
Cloud Engineer (AWS/Azure) 55000 - 100000 Medium Experienced Cloud Engineers with AWS or Azure certifications are highly valued.
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