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Подготовка и анализ данных в Tableau

Артём Прытков
Анализ данных позволяет получить ценную информацию из больших и разнообразных наборов данных. Этот курс рассказывает о встроенных аналитических функциях Tableau, инструментах предварительной подготовки данных, обогащении данных с помощью языка...
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Анализ данных позволяет получить ценную информацию из больших и разнообразных наборов данных. Этот курс рассказывает о встроенных аналитических функциях Tableau, инструментах предварительной подготовки данных, обогащении данных с помощью языка программирования Python и использовании алгоритмов машинного обучения в Tableau
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches methodologies that are commonly applied throughout industry and academia
Taught by instructors who are known for their expertise in data analysis
Utilized by professionals to gain actionable insights from data
Provides opportunities to develop the practical skills required in the field of data analysis
Requires prior understanding of data analysis concepts and techniques
Focuses heavily on Tableau, which may limit applicability in other data analysis tools

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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 Подготовка и анализ данных в Tableau with these activities:
Create a Tableau resource repository
Organizing and compiling relevant resources will provide you with a valuable reference for future learning and problem-solving.
Browse courses on Tableau
Show steps
  • Gather resources such as tutorials, documentation, and blog posts.
  • Organize the resources into categories.
  • Create a document or online repository to store the resources.
Review Pandas Basics
Brushing up on your Pandas basics ensures that you have a solid foundation for the data preparation tasks in this course.
Browse courses on DataFrames
Show steps
  • Review the Pandas documentation on dataframes.
  • Practice creating and manipulating dataframes.
  • Complete a few practice exercises on data cleaning and preparation.
Join a Tableau study group
Engaging with peers in a study group will provide opportunities to discuss concepts, share knowledge, and learn from others.
Browse courses on Tableau
Show steps
  • Find a study group or create your own.
  • Meet regularly to discuss course topics.
  • Work together on projects and assignments.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Tableau Tutorial
This activity will introduce you to the basics of Tableau.
Browse courses on Tableau
Show steps
  • Watch the Getting Started with Tableau tutorial.
  • Create a new Tableau workbook.
  • Import data into your workbook.
  • Create a simple visualization.
Data Preparation Exercises
These exercises will help you practice preparing data for analysis in Tableau.
Browse courses on Data Preparation
Show steps
  • Download the practice dataset.
  • Clean the data.
  • Transform the data.
  • Create a new Tableau workbook.
  • Import the prepared data into your workbook.
Learn about Tableau's calculated fields
Exploring Tableau's calculated fields will enhance your ability to perform complex data calculations and create more informative visualizations.
Browse courses on Calculated Fields
Show steps
  • Watch a tutorial on creating calculated fields in Tableau.
  • Follow along with the tutorial and practice creating your own calculated fields.
Attend a Tableau workshop
Attending a Tableau workshop will provide structured learning and hands-on practice with experienced instructors.
Browse courses on Tableau
Show steps
  • Research and find a relevant Tableau workshop.
  • Register for the workshop.
  • Attend the workshop and actively participate.
Practice creating visualizations in Tableau
Regular practice in creating visualizations will improve your proficiency in conveying insights effectively.
Browse courses on Data Visualization
Show steps
  • Choose a dataset and explore it in Tableau.
  • Create a variety of visualizations, including bar charts, line charts, and scatter plots.
  • Analyze the visualizations and identify trends and patterns.
Mentor a junior Tableau user
Mentoring others will not only reinforce your knowledge but also provide opportunities to reflect on and refine your skills.
Browse courses on Tableau
Show steps
  • Reach out to junior Tableau users and offer your support.
  • Answer their questions and provide guidance.
  • Collaborate on projects.
Data Analysis Report
Creating a data analysis report will allow you to apply your Tableau skills and demonstrate what you have learned.
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Show steps
  • Choose a dataset to analyze.
  • Create a Tableau dashboard or visualizations to present your analysis.
  • Write a report that summarizes your findings.
Tableau Project
Starting your own Tableau project enables you to solve a real-world problem.
Browse courses on Tableau
Show steps
  • Identify a problem that you can solve using Tableau.
  • Gather data for your project.
  • Create a Tableau dashboard or visualizations to solve the problem.
  • Present your project to others.
Develop a Tableau dashboard
Creating a Tableau dashboard is an excellent way to showcase your skills and demonstrate your ability to communicate insights through data visualization.
Browse courses on Dashboarding
Show steps
  • Gather data from multiple sources.
  • Clean and prepare the data.
  • Design and create visualizations.
  • Organize the visualizations into a dashboard.
  • Share your dashboard with others.
Contribute to the Tableau community
Contributing to the Tableau community will allow you to stay up-to-date with the latest developments, connect with other Tableau users, and enhance your skills.
Browse courses on Tableau
Show steps
  • Find a Tableau project on GitHub.
  • Review the project's documentation.
  • Make a bug fix or feature improvement.
  • Submit a pull request.

Career center

Learners who complete Подготовка и анализ данных в Tableau will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts examine data to identify trends, patterns, and anomalies. This course aligns with the role by introducing Tableau's analytical functions, data preparation tools, and techniques for working with Python. These skills can enhance a Data Analyst's ability to extract insights from complex datasets.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists develop and deploy predictive models using machine learning algorithms. This course's coverage of machine learning algorithms in Tableau, along with its focus on data analysis and preparation, can provide a strong foundation for those seeking to enter this field.
See salaries and explore the career path for Data Scientist
Business Analyst
Business Analysts use data to identify opportunities and solve problems within organizations. This course's emphasis on data analysis and the use of Tableau's tools can equip Business Analysts with the skills to make informed decisions based on data.
See salaries and explore the career path for Business Analyst
Financial Analyst
Financial Analysts evaluate financial data to make sound investment recommendations. The data analysis and data preparation techniques covered in this course can help Financial Analysts gain insights from financial datasets, enabling them to make informed decisions.
See salaries and explore the career path for Financial Analyst
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior and market trends. This course provides a solid foundation in data analysis and Tableau, which are essential skills for Market Researchers to effectively analyze market data.
See salaries and explore the career path for Market Researcher
Statistician
Statisticians apply statistical methods to analyze data and solve problems. The data analysis techniques and the use of Tableau taught in this course can enhance a Statistician's ability to analyze large and complex datasets.
See salaries and explore the career path for Statistician
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve organizational efficiency. This course's focus on data analysis and optimization techniques can provide valuable skills for Operations Research Analysts seeking to solve complex business problems.
See salaries and explore the career path for Operations Research Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. The machine learning algorithms and data analysis techniques covered in this course can provide a strong foundation for those aspiring to become Quantitative Analysts.
See salaries and explore the career path for Quantitative Analyst
Data Engineer
Data Engineers design and maintain data systems and infrastructure. While this course may not directly cover data engineering, its focus on data preparation and the use of Python can provide a valuable foundation for those interested in this field.
See salaries and explore the career path for Data Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. The Python programming component of this course can provide a valuable foundation for Software Engineers looking to work with data-intensive applications.
See salaries and explore the career path for Software Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. While this course may not cover all aspects of machine learning engineering, its introduction to machine learning algorithms in Tableau can provide a starting point for those interested in this field.
See salaries and explore the career path for Machine Learning Engineer
Data Architect
Data Architects design and manage data systems and infrastructure. While this course may not directly cover data architecture, its focus on data preparation and data analysis can provide a valuable foundation for those aspiring to become Data Architects.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators manage and maintain database systems. While this course may not directly cover database administration, its focus on data preparation and data analysis can provide a valuable foundation for those interested in this field.
See salaries and explore the career path for Database Administrator
Data Visualization Specialist
Data Visualization Specialists design and create visual representations of data. This course's focus on data analysis and Tableau can provide a strong foundation for those seeking to enter this field.
See salaries and explore the career path for Data Visualization Specialist
Business Intelligence Analyst
Business Intelligence Analysts use data to identify opportunities and solve problems within organizations. While this course may not cover all aspects of business intelligence, its focus on data analysis and Tableau can provide a valuable foundation for those interested in this field.
See salaries and explore the career path for Business Intelligence Analyst

Reading list

We've selected eight 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 Подготовка и анализ данных в Tableau.
Cover image
Tableau Your Data!
Save
Provides a practical guide to using Tableau for data analysis. It covers a wide range of topics, from data preparation to visualization and storytelling. It valuable resource for both beginners and experienced Tableau users.
Tableau Your Data!
Paperback
Check
Tableau Your Data!
Kindle Edition
Check
Cover image
Python for Data Analysis
Save
Provides a comprehensive introduction to Python for data analysis. It covers the basics of Python programming, as well as more advanced topics such as data cleaning, data manipulation, and data visualization. It valuable resource for both beginners and experienced Python users.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Machine Learning Q and AI
Save
Provides a comprehensive introduction to machine learning with Python. It covers the basics of machine learning, as well as more advanced topics such as supervised learning, unsupervised learning, and deep learning. It valuable resource for both beginners and experienced machine learning practitioners.
Machine Learning Q and AI: 30 Essential Questions...
Paperback
$$
Machine Learning Q and AI: 30 Essential Questions...
Kindle Edition
$$
Cover image
The Data Science Handbook
Save
Provides a comprehensive overview of the data science field. It covers a wide range of topics, from data collection to data analysis and machine learning. It valuable resource for both beginners and experienced data scientists.
The Data Science Handbook: Advice and Insights from...
Paperback
$$
Cover image
Data Science for Business
Save
Provides a practical guide to using data science for business. It covers a wide range of topics, from data collection to data analysis and machine learning. It valuable resource for both business professionals and data scientists.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
The Big Book of Dashboards
Save
This practical guide to Tableau provides a comprehensive overview of the software's capabilities, with a focus on helping users create effective and informative data visualizations. It's suitable for users of all levels.
The Big Book of Dashboards: Visualizing Your Data...
Paperback
$$
The Big Book of Dashboards: Visualizing Your Data...
Kindle Edition
$$
Cover image
Build a Large Language Model (From Scratch)
Save
This guide to machine learning with Python provides a comprehensive overview of the language's capabilities, with a focus on helping users learn about machine learning techniques. It's an essential resource for anyone who wants to use Python for machine learning.
Build a Large Language Model (From Scratch)
Paperback
Check
Build a Large Language Model (From Scratch)
Kindle Edition
Check
Cover image
Python for Data Analysis
Save
This guide to data wrangling with Pandas provides a comprehensive overview of the library's capabilities, with a focus on helping users work with data. It's an essential resource for anyone who wants to use Pandas for data wrangling.
Python for Data Analysis: Data Wrangling with...
Paperback
$$
Python for Data Analysis
Kindle Edition
$$
Python for Data Analysis: Data Wrangling with...
Paperback
$$$

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Course image
Time
12 hours
Via
Coursera
Institution
Moscow Institute of Physics and Technology
Instructor
Артём Прытков
This course belongs to a collection called Анализ и визуализация данных в Tableau. It's comprised of three courses:
  1. Проектирование интерактивных дашбордов в Tableau
  2. Подготовка и анализ данных в Tableau (viewing)
  3. Быстрый старт с Tableau Desktop
Good to know
Teaches methodologies that are commonly applied throughout industry and academia
Taught by instructors who are known for their expertise in data analysis
Utilized by professionals to gain actionable insights from data
Provides opportunities to develop the practical skills required in the field of data analysis
Requires prior understanding of data analysis concepts and techniques
Focuses heavily on Tableau, which may limit applicability in other data analysis tools
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