We may earn an affiliate commission when you visit our partners.
Daria Toropchyn
В этом курсе-проекте продолжительностью 2 часa вы получите следующие навыки: настроить доступ к Google Таблице и понять в каких случаях данный инструмент может быть максимально полезен, создать новые таблицы и ввести необработанные данные в таблицы...
Read more
В этом курсе-проекте продолжительностью 2 часa вы получите следующие навыки: настроить доступ к Google Таблице и понять в каких случаях данный инструмент может быть максимально полезен, создать новые таблицы и ввести необработанные данные в таблицы...
Read more
В этом курсе-проекте продолжительностью 2 часa вы получите следующие навыки: настроить доступ к Google Таблице и понять в каких случаях данный инструмент может быть максимально полезен, создать новые таблицы и ввести необработанные данные в таблицы упорядоченным способом, прописать формулы в таблице, чтобы получить необходимую информацию,соединить необработанные данные в одной таблице, чтобы получить наглядную демонстрацию эффективности работы бизнеса.
Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.
Register for this course and see more details by visiting:
OpenCourser.com/course/ceib8g/vvedenie
Two deals to help you save
We found two deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Offers skills and tools applicable in many areas of business
Taught by industry professionals, ensuring learners are gaining applicable skills
Expands foundational knowledge and builds upon existing skills in data analysis
Targeted at early-career professionals or those seeking to enhance their data analysis skills
May require additional prerequisites or background knowledge in data analysis
Course materials may not be up-to-date with the latest industry practices
Save this course
Save Введение в Google Таблицы to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Введение в Google Таблицы with these
activities:
Review statistical concepts
Show steps
Refresh your understanding of basic statistical concepts to lay a solid foundation for the course.
Browse courses on
Hypothesis Testing
Show steps
-
Review lecture notes or textbooks on probability and statistics.
-
Work through practice problems to test your comprehension.
Google Tables Tutorial
Show steps
Solidify your understanding of Google Tables by working through this tutorial.
Show steps
-
Find a comprehensive Google Tables tutorial.
-
Work through the tutorial step-by-step.
Review Textbook
Show steps
Prepare yourself for the course by reviewing the basics of using Google Tables.
Browse courses on
Data Analytics
Show steps
-
Retrieve your course textbook.
-
Read the first two chapters of the textbook.
-
Complete the practice problems at the end of each chapter.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Solve practice problems on data analysis
Show steps
Reinforce your understanding of data analysis techniques by completing practice problems.
Show steps
-
Find practice problems online or in textbooks.
-
Work through the problems step-by-step, checking your answers.
Study Group Discussions
Show steps
Engage with your peers by participating in regular study group discussions.
Show steps
-
Join or form a study group with other students in the course.
-
Meet regularly to discuss the course material and work on assignments together.
Practice Data Entry Project
Show steps
Develop your skills by completing this practice data entry project.
Browse courses on
Data Entry
Show steps
-
Create a new Google Table.
-
Enter a set of data into the table.
-
Format the table and add charts.
-
Share the table with a peer for feedback.
Google Tables Exercises
Show steps
Sharpen your skills by completing these practice exercises.
Show steps
-
Find a set of Google Tables exercises.
-
Complete the exercises, checking your answers against the provided solutions.
Volunteer with a data-driven organization
Show steps
Gain practical experience by volunteering with an organization that utilizes data analysis in its operations.
Show steps
-
Identify organizations that align with your interests and data skills.
-
Contact the organizations and inquire about volunteer opportunities.
-
Attend volunteer training and participate in data-related projects.
Nonprofit Data Analysis
Show steps
Enhance your skills by volunteering your data analytics expertise to a nonprofit organization.
Show steps
-
Identify a nonprofit organization that could benefit from your skills.
-
Contact the organization and offer your services.
-
Work with the organization to determine their data analysis needs.
-
Analyze the data and provide insights to the organization.
Create a data visualization dashboard
Show steps
Apply your data analysis skills to create a meaningful and visually appealing data visualization dashboard.
Show steps
-
Choose a dataset and identify the key insights you want to convey.
-
Select appropriate visualization techniques to effectively display the data.
-
Create the dashboard using a data visualization tool.
Contribute to Google Tables
Show steps
Deepen your understanding by contributing to the open-source development of Google Tables.
Show steps
-
Find a Google Tables project on GitHub.
-
Review the project's code.
-
Identify an area where you can make a contribution.
-
Submit a pull request to the project.
Data Analytics Competition
Show steps
Challenge yourself by participating in a data analytics competition.
Show steps
-
Find a data analytics competition that aligns with your interests.
-
Download the competition data and explore it.
-
Develop a strategy to analyze the data and solve the competition problem.
-
Submit your solution to the competition.
Review statistical concepts
Show steps
Refresh your understanding of basic statistical concepts to lay a solid foundation for the course.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Review lecture notes or textbooks on probability and statistics.
- Work through practice problems to test your comprehension.
Google Tables Tutorial
Show steps
Solidify your understanding of Google Tables by working through this tutorial.
Show steps
Show steps
Show steps
- Find a comprehensive Google Tables tutorial.
- Work through the tutorial step-by-step.
Review Textbook
Show steps
Prepare yourself for the course by reviewing the basics of using Google Tables.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Retrieve your course textbook.
- Read the first two chapters of the textbook.
- Complete the practice problems at the end of each chapter.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Solve practice problems on data analysis
Show steps
Reinforce your understanding of data analysis techniques by completing practice problems.
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Work through the problems step-by-step, checking your answers.
Study Group Discussions
Show steps
Engage with your peers by participating in regular study group discussions.
Show steps
Show steps
Show steps
- Join or form a study group with other students in the course.
- Meet regularly to discuss the course material and work on assignments together.
Practice Data Entry Project
Show steps
Develop your skills by completing this practice data entry project.
Browse courses on
Data Entry
Show steps
Show steps
Show steps
- Create a new Google Table.
- Enter a set of data into the table.
- Format the table and add charts.
- Share the table with a peer for feedback.
Google Tables Exercises
Show steps
Sharpen your skills by completing these practice exercises.
Show steps
Show steps
Show steps
- Find a set of Google Tables exercises.
- Complete the exercises, checking your answers against the provided solutions.
Volunteer with a data-driven organization
Show steps
Gain practical experience by volunteering with an organization that utilizes data analysis in its operations.
Show steps
Show steps
Show steps
- Identify organizations that align with your interests and data skills.
- Contact the organizations and inquire about volunteer opportunities.
- Attend volunteer training and participate in data-related projects.
Nonprofit Data Analysis
Show steps
Enhance your skills by volunteering your data analytics expertise to a nonprofit organization.
Show steps
Show steps
Show steps
- Identify a nonprofit organization that could benefit from your skills.
- Contact the organization and offer your services.
- Work with the organization to determine their data analysis needs.
- Analyze the data and provide insights to the organization.
Create a data visualization dashboard
Show steps
Apply your data analysis skills to create a meaningful and visually appealing data visualization dashboard.
Show steps
Show steps
Show steps
- Choose a dataset and identify the key insights you want to convey.
- Select appropriate visualization techniques to effectively display the data.
- Create the dashboard using a data visualization tool.
Contribute to Google Tables
Show steps
Deepen your understanding by contributing to the open-source development of Google Tables.
Show steps
Show steps
Show steps
- Find a Google Tables project on GitHub.
- Review the project's code.
- Identify an area where you can make a contribution.
- Submit a pull request to the project.
Data Analytics Competition
Show steps
Challenge yourself by participating in a data analytics competition.
Show steps
Show steps
Show steps
- Find a data analytics competition that aligns with your interests.
- Download the competition data and explore it.
- Develop a strategy to analyze the data and solve the competition problem.
- Submit your solution to the competition.
Career center
Learners who complete Введение в Google Таблицы will develop knowledge and skills
that may be useful to these careers:
Business Analyst
Business Analyst
A Business Analyst helps organizations improve their performance by analyzing data and identifying opportunities for improvement. This course, _Introduction to Google Sheets_, can be beneficial for Business Analysts who are looking to develop their data analysis and presentation skills. The course covers topics like creating and managing dashboards, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Business Analysts communicate their findings effectively to stakeholders.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course, _Introduction to Google Sheets_, can be beneficial for Project Managers who are looking to develop their data management and analysis skills. The course covers topics like creating and managing project plans, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Project Managers track their projects and measure their progress.
Marketing Analyst
Marketing Analyst
A Marketing Analyst uses data to understand customer behavior and develop marketing campaigns. This course, _Introduction to Google Sheets_, can be valuable for Marketing Analysts who are looking to develop their data management and analysis skills. The course covers topics like creating and managing marketing dashboards, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Marketing Analysts track their campaigns and measure their effectiveness.
Data Analyst
Data Analyst
A Data Analyst gathers, interprets, and presents data to help organizations make informed decisions. This course, _Introduction to Google Sheets_, can be a valuable resource for aspiring Data Analysts because it introduces the basics of data organization, analysis, and visualization. The course covers topics like setting up and managing spreadsheets, importing and cleaning data, and creating formulas and charts. These skills are essential for Data Analysts who need to work with large datasets and extract meaningful insights.
Accountant
Accountant
An Accountant prepares and analyzes financial statements. This course, _Introduction to Google Sheets_, may be helpful for Accountants who are looking to develop their data management and analysis skills. The course covers topics like creating and managing financial models, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Accountants improve their efficiency and accuracy when preparing and analyzing financial statements.
Financial Analyst
Financial Analyst
A Financial Analyst evaluates and interprets financial data to make investment recommendations. This course, _Introduction to Google Sheets_, may be useful for Financial Analysts who are looking to develop their data management and analysis skills. The course covers topics like creating and managing financial models, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Financial Analysts make more informed investment decisions.
Operations Analyst
Operations Analyst
An Operations Analyst analyzes data to identify opportunities for improving efficiency and productivity. This course, _Introduction to Google Sheets_, may be helpful for Operations Analysts who are looking to develop their data management and analysis skills. The course covers topics like creating and managing operational dashboards, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Operations Analysts make better decisions and improve the performance of their organizations.
Data Scientist
Data Scientist
A Data Scientist uses advanced statistical and machine learning techniques to extract insights from data. This course, _Introduction to Google Sheets_, may be helpful for Data Scientists who are looking to develop their data management and analysis skills. The course covers topics like creating and managing pivot tables, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Data Scientists improve their efficiency and accuracy when working with large datasets.
Consultant
Consultant
A Consultant provides advice and solutions to clients. This course, _Introduction to Google Sheets_, may be helpful for Consultants who are looking to develop their data management and analysis skills. The course covers topics like creating and managing client reports, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Consultants communicate their findings effectively to clients.
Office Administrator
Office Administrator
An Office Administrator provides administrative support to an organization. This course, _Introduction to Google Sheets_, may be helpful for Office Administrators who are looking to develop their data management and analysis skills. The course covers topics like creating and managing spreadsheets, importing and cleaning data, and using formulas to perform calculations. These skills can help Office Administrators improve their efficiency and accuracy when performing administrative tasks.
Sales Manager
Sales Manager
A Sales Manager leads and manages a sales team. This course, _Introduction to Google Sheets_, may be helpful for Sales Managers who are looking to develop their data management and analysis skills. The course covers topics like creating and managing sales dashboards, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Sales Managers track their team's performance and identify opportunities for improvement.
Auditor
Auditor
An Auditor examines and evaluates financial records. This course, _Introduction to Google Sheets_, may be helpful for Auditors who are looking to develop their data management and analysis skills. The course covers topics like creating and managing audit reports, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Auditors improve their efficiency and accuracy when examining and evaluating financial records.
Data Entry Clerk
Data Entry Clerk
A Data Entry Clerk enters data into a computer system. This course, _Introduction to Google Sheets_, may be helpful for Data Entry Clerks who are looking to improve their efficiency and accuracy. The course covers topics like creating and managing spreadsheets, importing and cleaning data, and using formulas to perform calculations. These skills can help Data Entry Clerks enter data more quickly and accurately.
Executive Assistant
Executive Assistant
An Executive Assistant provides administrative and managerial support to a senior executive. This course, _Introduction to Google Sheets_, may be helpful for Executive Assistants who are looking to develop their data management and analysis skills. The course covers topics like creating and managing spreadsheets, importing and cleaning data, and using formulas to perform calculations. These skills can help Executive Assistants track their work and manage their time more effectively.
Product Manager
Product Manager
A Product Manager develops and manages products. This course, _Introduction to Google Sheets_, may be useful for Product Managers who are looking to develop their data management and analysis skills. The course covers topics like creating and managing product roadmaps, using formulas to perform calculations, and visualizing data using charts and graphs. These skills can help Product Managers make better decisions about their products.
For more career information including salaries, visit:
OpenCourser.com/course/ceib8g/vvedenie
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Введение в Google Таблицы.
Всестороннее руководство по Google Таблицам, охватывающее все уровни навыков.
Продемонстрируйте, как использовать Google Таблицы для анализа и визуализации данных.
Книга о Python, популярном языке программирования для анализа данных.
Save
Если вы хотите перейти от Google Таблиц к более продвинутой визуализации данных, Tableau является популярным инструментом.
Книга о R, статистическом программном обеспечении с открытым исходным кодом.
Углубленный взгляд на манипулирование и обработку данных с использованием R.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ceib8g/vvedenie
Share
Similar courses
Here are nine courses similar to
Введение в Google Таблицы.
Создание бюджета в Google Таблице
OpenCourser.com/course/b8q62f/sozdanie
Создание бюджета в Google Таблице
Most relevant
Принятие решений в маркетинге на основе анализа данных
OpenCourser.com/course/huvsly/priniatie
Принятие решений в маркетинге на основе анализа данных
Most relevant
Методология обработки и анализа данных
OpenCourser.com/course/0fry6o/metodologiia
Методология обработки и анализа данных
Most relevant
Навыки Excel для бизнеса. Продвинутый
OpenCourser.com/course/k6ln2r/navyki
Навыки Excel для бизнеса. Продвинутый
Most relevant
Введение в приложение Google Docs
OpenCourser.com/course/lq8125/vvedenie
Введение в приложение Google Docs
Most relevant
Машинное обучение и большие данные
OpenCourser.com/course/5xn0ok/mashinnoe
Машинное обучение и большие данные
Most relevant
Как создать Google Презентацию
OpenCourser.com/course/lifat1/kak
Как создать Google Презентацию
Most relevant
Как создать график реализации проекта в Google Таблице
OpenCourser.com/course/upiji4/kak
Как создать график реализации проекта в Google Таблице
Most relevant
Знакомимся с основами HubSpot
OpenCourser.com/course/uagnu6/znakomimsia
Знакомимся с основами HubSpot
Most relevant
Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Daria Toropchyn
Good to know
Offers skills and tools applicable in many areas of business
Taught by industry professionals, ensuring learners are gaining applicable skills
Expands foundational knowledge and builds upon existing skills in data analysis
Targeted at early-career professionals or those seeking to enhance their data analysis skills
May require additional prerequisites or background knowledge in data analysis
Course materials may not be up-to-date with the latest industry practices
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser