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Intermediate Google Sheets Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Intermediate Google Sheets course offered by Data Camp you will expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Overview

Context

In this Intermediate Google Sheets course offered by Data Camp, we focus on understanding and manipulating various data types in Google Sheets. You'll gain proficiency in handling numeric and logical data, crucial for effective data analysis. 

The first section is designed to build your skills in data manipulation, teaching you techniques to manage and transform data efficiently.

Whether you're dealing with large datasets or complex data structures, these skills are essential for making the most out of your data in Google Sheets.

Dealing with Missing Data and Errors

A common challenge in data analysis is dealing with missing data and error types. This course guides you through the intricacies of identifying and managing missing data, as well as understanding and resolving various error types that can occur in Google Sheets. You'll learn how to clean your data, ensuring its accuracy and reliability. This is a critical skill for anyone looking to conduct thorough and error-free data analysis.

Practical Application with Real Datasets

Throughout the course, you'll apply what you've learned using real-world datasets. These include records of 100m sprint world records, asteroid close encounters, benefit claims, and data on butterflies. By exploring these diverse datasets, you'll learn how to calculate summary statistics and gain insights from real data. This hands-on experience not only reinforces your learning but also prepares you to tackle a wide range of data analysis tasks with confidence.

Programme Structure

Chapters include: 

  • What's in a cell? 
  • Logic & Errors 
  • Working with numbers 
  • Positional Matching

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prerequisites:

  • Data Analysis in Google Sheets

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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