• November 4, 2024
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Intermediate Google Sheets

Trainedi Edutech
by Trainedi Edutech
Categories Digital Skills
Course level:Intermediate
$ 0.14
Enrollment validity: Lifetime

Description

To improve participants’ understanding and skills in Google Sheets for data analysis, automation, and visualization. By the course’s conclusion, they will be adept at utilizing advanced features and functions to effectively manipulate, analyze, automate and create visually appealing and dynamic spreadsheets.

What I will learn?

  • Apply advanced statistical functions and formulas in Google Sheets, and utilize data consolidation to combine data from multiple sources.
  • Analyze data using advanced tools like regression analysis, trendlines, and correlation functions.
  • Combine multiple functions and formulas to create custom calculations and data transformations.
  • Evaluate the effectiveness of different visualization techniques in representing data.
  • Understand advanced data analysis concepts like regression analysis and advanced statistical functions.
  • Interpret and explain the purpose and functionality of advanced features and functions in Google Sheets.
  • Assess the accuracy and reliability of complex formulas and data analysis results.
  • Apply advanced filtering and querying techniques to extract valuable insights from datasets.

Material Includes

  • This course may provide various training resources including but not limited to: study guides, visual aids, Images, diagrams, multimedia presentations, web-ready content, branching scenarios by geography and/or professional interest, educational software for a comprehensive learning experience and a Certificate of completion

Target Audience

  • The intermediate Google Sheets course is for individuals with a basic understanding seeking to enhance their skills. Suitable for students, professionals, analysts, and those working regularly with data.

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Course Curriculum

PRE-COURSE EVALUATIONS

  • Intermediate Google Sheets Pre – Assessment
    00:00

1. Advanced Formulas and Functions

2. Data Validation and Protection

3. Pivot Tables and Data Analysis

4. Advanced Filtering and Querying

5. Scripting and Automation

6. Data Consolidation and External Data Connections

7. Advanced Data Visualization

POST-COURSE EVALUATIONS

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