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Data Ecosystem
Tableau Learning Partner Instructor
Tableau Learning Partner Instructor
The Data Ecosystem course will give you a foundational understanding of the entire data ecosystem, including data management. Specifically, this course shows how a business intelligence analyst would organize, access, and use data. You will learn about a variety of data sources along with the use and purpose of each type. Additionally, you’ll learn about the importance of data quality and data governance in relation to effective data management. You’ll also learn about the goals of data management and the principles that form the foundation of modern data architecture. Having a solid understanding of the data ecosystem is important for entry-level roles in business analytics.
Read more
The Data Ecosystem course will give you a foundational understanding of the entire data ecosystem, including data management. Specifically, this course shows how a business intelligence analyst would organize, access, and use data. You will learn about a variety of data sources along with the use and purpose of each type. Additionally, you’ll learn about the importance of data quality and data governance in relation to effective data management. You’ll also learn about the goals of data management and the principles that form the foundation of modern data architecture. Having a solid understanding of the data ecosystem is important for entry-level roles in business analytics.
Read more
The Data Ecosystem course will give you a foundational understanding of the entire data ecosystem, including data management. Specifically, this course shows how a business intelligence analyst would organize, access, and use data. You will learn about a variety of data sources along with the use and purpose of each type. Additionally, you’ll learn about the importance of data quality and data governance in relation to effective data management. You’ll also learn about the goals of data management and the principles that form the foundation of modern data architecture. Having a solid understanding of the data ecosystem is important for entry-level roles in business analytics.
This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program.
By the end of the course, you will be able to:
-Describe the purpose and applications of tabular data, databases, data warehouses, data lakes, and ETLs.
-Describe the importance of data quality and data governance in relation to data management.
-Identify the goals of data management.
-Identify the principles that form the foundation of modern data architecture.
Register for this course and see more details by visiting:
OpenCourser.com/course/4t9ex0/data
What's inside
Syllabus
Data Sources
Welcome to the Data Ecosystem course, the third course in the Tableau Business Intelligence Analyst Professional Certificate. By enrolling in this course, you are continuing on your journey to a career in business analytics. In the first week of this course, you will learn about the most basic data sources you will encounter as an analyst — spreadsheets! You will also learn about more complex data sources like databases and how organizations use different systems to manage them.
Read more
Syllabus
Data Sources
Welcome to the Data Ecosystem course, the third course in the Tableau Business Intelligence Analyst Professional Certificate. By enrolling in this course, you are continuing on your journey to a career in business analytics. In the first week of this course, you will learn about the most basic data sources you will encounter as an analyst — spreadsheets! You will also learn about more complex data sources like databases and how organizations use different systems to manage them.
Read more
Data Warehousing
Welcome to the second week of Data Ecosystem! As organizations collect more and more data, they require more complex systems to store and manage it. Many organizations use a combination of data warehouses and data lakes for this exact purpose. So, that's what this week is all about! By the end of this week, you will be able to describe the purpose of a data warehouse for analytics and identify the most common ways they are structured. You will also be able to describe the application of data lakes for analytics and recognize the key differences between a data lake and a data warehouse.
Data Management
Welcome to the third week of the Data Ecosystem! With the amount of data that organizations are collecting, you might be wondering how they are able to ensure that it is accessible throughout the organization while maintaining security. In order to ensure that their data is useable and protected, organizations have to have strong data management practices throughout the data life cycle. Data management can be thought of as the logistics of data — how you collect, store, validate, protect, and maintain your data. This week, you'll dive into a few of the key components of good data management including data quality management, data governance, and data architecture. By the end of this module, you'll have an understanding of the practices organizations employ to make sure their data can be trusted.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces the foundational concepts of data management and organization, essential for understanding data ecosystems
Covers various data sources and their applications, providing a comprehensive understanding of data management practices
Emphasizes the importance of data quality and data governance in ensuring data reliability and usability
Explores the principles and goals of data management, equipping learners with a solid understanding of data management frameworks
Provides a foundational understanding of data warehousing and data lakes, essential for data management and analytics
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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 Data Ecosystem with these
activities:
Review Course Materials before Each Module
Show steps
Regularly reviewing course materials will help solidify your understanding of the concepts and prepare you for the upcoming module, maximizing your learning outcomes.
Browse courses on
Review
Show steps
-
Review the lecture notes and readings before each module begins.
Review video : Tableau Dashboard Basics
Show steps
Reviewing the basics of Tableau will help brush up on essential concepts and techniques before diving into the more advanced topics covered in this course.
Browse courses on
Tableau
Show steps
-
Watch the video tutorial on Tableau Dashboard Basics.
Organize Course Notes and Assignments
Show steps
Organizing your notes and assignments will create a valuable resource for future review and reinforcement of the course material.
Browse courses on
Note-Taking
Show steps
-
Create a system for organizing your notes and assignments.
-
Regularly review and update your organized materials.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Review basic relational databases concepts
Show steps
Understanding the concepts of relational databases will provide a strong foundation for learning about the Data Ecosystem.
Browse courses on
Database Concepts
Show steps
-
Review your notes from a previous database course or textbook.
-
Take an online quiz or practice problems on relational database concepts.
Complete Tableau Tutorial for Beginners
Show steps
Following a comprehensive beginner's tutorial will provide a solid foundation in Tableau, preparing you for the more complex tasks and concepts covered in the course.
Browse courses on
Tableau
Show steps
-
Enroll in and complete a beginner-friendly Tableau tutorial.
Data Analytics Fundamentals
Show steps
Start this course with a firm grasp of data analytics fundamentals to set yourself up for success.
Browse courses on
Data Analytics
Show steps
-
Review foundational concepts in data analysis, such as data types, data structures, and data visualization.
-
Practice data cleaning and data preparation techniques.
-
Complete practice problems and exercises to reinforce your understanding of data analytics concepts.
Complete the Tableau Desktop Learning Path
Show steps
This learning path will provide you with a comprehensive overview of Tableau Desktop and its capabilities for data visualization and analysis.
Show steps
-
Create an account on Tableau's website.
-
Enroll in the Tableau Desktop Learning Path.
-
Complete the modules and exercises in the learning path.
Assist Other Students in the Course Forums
Show steps
Engaging in discussion forums and providing assistance to other students will reinforce your understanding of the course material and foster a sense of community and collaboration.
Browse courses on
Peer Support
Show steps
-
Join the course discussion forums.
-
Answer questions and provide insights to other students.
Analyze Sample Data with Tableau Public
Show steps
Practicing data analysis using Tableau Public will provide hands-on experience, reinforcing the concepts learned in the course and improving your proficiency.
Browse courses on
Tableau Public
Show steps
-
Download and install Tableau Public.
-
Load a sample dataset into Tableau Public.
-
Create visualizations and analyze the data.
Practice data visualization using Tableau Public
Show steps
Tableau Public is a free tool that allows you to practice data visualization without having to purchase a license.
Show steps
-
Create a free Tableau Public account.
-
Download a sample dataset.
-
Create a visualization using Tableau Public.
Attend a Tableau User Group Meeting
Show steps
Attending a Tableau User Group meeting will allow you to connect with other Tableau professionals, share knowledge, and stay up-to-date on the latest trends and best practices.
Browse courses on
Networking
Show steps
-
Find a local Tableau User Group meeting.
-
Attend the meeting and participate in discussions.
Develop a Tableau Dashboard for a Real-World Dataset
Show steps
Creating a Tableau dashboard using a real-world dataset will challenge you to apply the skills and knowledge gained in the course, enhancing your understanding and practical abilities.
Browse courses on
Tableau Dashboard
Show steps
-
Identify a suitable real-world dataset.
-
Clean and prepare the data in Tableau.
-
Design and develop a Tableau dashboard to visualize the data.
Develop a data visualization dashboard for a real-world dataset
Show steps
Creating a data visualization dashboard will allow you to apply the skills you've learned in the course to a real-world problem.
Show steps
-
Identify a real-world dataset that you're interested in.
-
Download the dataset and import it into Tableau.
-
Create a data visualization dashboard that communicates the key insights from the dataset.
Build a data pipeline using a cloud-based data integration tool
Show steps
Building a data pipeline will give you hands-on experience with the process of integrating data from multiple sources.
Show steps
-
Choose a cloud-based data integration tool.
-
Create a data pipeline that extracts, transforms, and loads data from multiple sources.
-
Deploy the data pipeline and monitor its performance.
Contribute to an open-source data visualization project
Show steps
Contributing to an open-source project is a great way to learn about data visualization and contribute to the community.
Show steps
-
Find an open-source data visualization project that you're interested in.
-
Read the project's documentation and contribute to the community.
-
Send a pull request with your contributions.
Review Course Materials before Each Module
Show steps
Regularly reviewing course materials will help solidify your understanding of the concepts and prepare you for the upcoming module, maximizing your learning outcomes.
Browse courses on
Review
Show steps
Show steps
Show steps
- Review the lecture notes and readings before each module begins.
Review video : Tableau Dashboard Basics
Show steps
Reviewing the basics of Tableau will help brush up on essential concepts and techniques before diving into the more advanced topics covered in this course.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Watch the video tutorial on Tableau Dashboard Basics.
Organize Course Notes and Assignments
Show steps
Organizing your notes and assignments will create a valuable resource for future review and reinforcement of the course material.
Browse courses on
Note-Taking
Show steps
Show steps
Show steps
- Create a system for organizing your notes and assignments.
- Regularly review and update your organized materials.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Review basic relational databases concepts
Show steps
Understanding the concepts of relational databases will provide a strong foundation for learning about the Data Ecosystem.
Browse courses on
Database Concepts
Show steps
Show steps
Show steps
- Review your notes from a previous database course or textbook.
- Take an online quiz or practice problems on relational database concepts.
Complete Tableau Tutorial for Beginners
Show steps
Following a comprehensive beginner's tutorial will provide a solid foundation in Tableau, preparing you for the more complex tasks and concepts covered in the course.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Enroll in and complete a beginner-friendly Tableau tutorial.
Data Analytics Fundamentals
Show steps
Start this course with a firm grasp of data analytics fundamentals to set yourself up for success.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Review foundational concepts in data analysis, such as data types, data structures, and data visualization.
- Practice data cleaning and data preparation techniques.
- Complete practice problems and exercises to reinforce your understanding of data analytics concepts.
Complete the Tableau Desktop Learning Path
Show steps
This learning path will provide you with a comprehensive overview of Tableau Desktop and its capabilities for data visualization and analysis.
Show steps
Show steps
Show steps
- Create an account on Tableau's website.
- Enroll in the Tableau Desktop Learning Path.
- Complete the modules and exercises in the learning path.
Assist Other Students in the Course Forums
Show steps
Engaging in discussion forums and providing assistance to other students will reinforce your understanding of the course material and foster a sense of community and collaboration.
Browse courses on
Peer Support
Show steps
Show steps
Show steps
- Join the course discussion forums.
- Answer questions and provide insights to other students.
Analyze Sample Data with Tableau Public
Show steps
Practicing data analysis using Tableau Public will provide hands-on experience, reinforcing the concepts learned in the course and improving your proficiency.
Browse courses on
Tableau Public
Show steps
Show steps
Show steps
- Download and install Tableau Public.
- Load a sample dataset into Tableau Public.
- Create visualizations and analyze the data.
Practice data visualization using Tableau Public
Show steps
Tableau Public is a free tool that allows you to practice data visualization without having to purchase a license.
Show steps
Show steps
Show steps
- Create a free Tableau Public account.
- Download a sample dataset.
- Create a visualization using Tableau Public.
Attend a Tableau User Group Meeting
Show steps
Attending a Tableau User Group meeting will allow you to connect with other Tableau professionals, share knowledge, and stay up-to-date on the latest trends and best practices.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Find a local Tableau User Group meeting.
- Attend the meeting and participate in discussions.
Develop a Tableau Dashboard for a Real-World Dataset
Show steps
Creating a Tableau dashboard using a real-world dataset will challenge you to apply the skills and knowledge gained in the course, enhancing your understanding and practical abilities.
Browse courses on
Tableau Dashboard
Show steps
Show steps
Show steps
- Identify a suitable real-world dataset.
- Clean and prepare the data in Tableau.
- Design and develop a Tableau dashboard to visualize the data.
Develop a data visualization dashboard for a real-world dataset
Show steps
Creating a data visualization dashboard will allow you to apply the skills you've learned in the course to a real-world problem.
Show steps
Show steps
Show steps
- Identify a real-world dataset that you're interested in.
- Download the dataset and import it into Tableau.
- Create a data visualization dashboard that communicates the key insights from the dataset.
Build a data pipeline using a cloud-based data integration tool
Show steps
Building a data pipeline will give you hands-on experience with the process of integrating data from multiple sources.
Show steps
Show steps
Show steps
- Choose a cloud-based data integration tool.
- Create a data pipeline that extracts, transforms, and loads data from multiple sources.
- Deploy the data pipeline and monitor its performance.
Contribute to an open-source data visualization project
Show steps
Contributing to an open-source project is a great way to learn about data visualization and contribute to the community.
Show steps
Show steps
Show steps
- Find an open-source data visualization project that you're interested in.
- Read the project's documentation and contribute to the community.
- Send a pull request with your contributions.
Career center
Learners who complete Data Ecosystem will develop knowledge and skills
that may be useful to these careers:
Adatbázis-adminisztrátor
Adatbázis-adminisztrátor
Az adatbázis-adminisztrátorok adatbázis-kezelő rendszereket terveznek, telepítenek és karbantartanak. Ebben a szerepben megértenék, hogyan használják az adatbázisokat az adatok tárolására és kezelésére, valamint hogyan biztosíthatják ezek biztonságát és sértetlenségét. Ez a kurzus segítene nekik megérteni az adatmenedzsment alapelveit, valamint az adatbázisok és adattárolók különböző típusait.
Informatikai rendszer-elemző
Informatikai rendszer-elemző
Az informatikai rendszer-elemzők elemzik az üzleti követelményeket, és informatikai megoldásokat terveznek és fejlesztenek ezek kielégítésére. Ebben a szerepben megértenék, hogyan használják az adatokat az üzleti döntések meghozatalára, és hogyan lehet ezeket az adatokat hatékonyan kezelni és felhasználni. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatmenedzsment fontosságát.
Adattudós
Adattudós
Az adattudósok adatokat gyűjtenek, tisztítanak és elemeznek, hogy azonosítsák a mintákat és trendeket. Ebben a szerepben megértenék az adatok gyűjtésének, tárolásának és elemzésének folyamatát, valamint azt, hogyan lehet ezeket az adatokat hasznos információkká alakítani. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatmenedzsment elveit.
Adat-mérnök
Adat-mérnök
Az adat-mérnökök adat-infrastruktúrát terveznek, építenek és karbantartanak. Ebben a szerepben megértenék, hogyan lehet az adatokat hatékonyan és megbízhatóan tárolni, kezelni és feldolgozni. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatmenedzsment alapelveit.
Üzleti elemző
Üzleti elemző
Az üzleti elemzők adatokat elemeznek és értelmeznek, hogy segítsék a vállalkozásokat a jobb döntéshozatalban. Ebben a szerepben megértenék, hogyan lehet az adatokat használni az üzleti problémák azonosítására és megoldására. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatmenedzsment fontosságát.
Adatvédelmi elemző
Adatvédelmi elemző
Az adatvédelmi elemzők elemzik az adatvédelmi szabályozásokat és követelményeket, valamint azonosítják és enyhítik az adatvédelmi kockázatokat. Ebben a szerepben megértenék, hogyan lehet az adatokat biztonságosan és megfelelőségnek megfelelően kezelni. Ez a kurzus segítene nekik megérteni az adatmenedzsment elveit és az adatvédelem fontosságát.
Adathasználati szakértő
Adathasználati szakértő
Az adathasználati szakértők segítik a vállalkozásokat az adatvezérelt döntéshozatalban. Ebben a szerepben megértenék, hogyan lehet az adatokat hatékonyan használni az üzleti célok eléréséhez. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatmenedzsment fontosságát.
Adatkezelési tanácsadó
Adatkezelési tanácsadó
Az adatkezelési tanácsadók segítik a vállalkozásokat az adatmenedzsment stratégiák és gyakorlatok fejlesztésében. Ebben a szerepben megértenék, hogyan lehet az adatokat hatékonyan és eredményesen kezelni. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatmenedzsment alapelveit.
Adatigazgatási szakértő
Adatigazgatási szakértő
Az adatigazgatási szakértők biztosítják, hogy az adatok pontosak, megbízhatóak és hozzáférhetők legyenek. Ebben a szerepben megértenék az adatmenedzsment elveit és gyakorlatait. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatigazgatás fontosságát.
Adatarchitekt
Adatarchitekt
Az adatarchitektusok tervezik és fejlesztik az adat-infrastruktúrát. Ebben a szerepben megértenék az adatmenedzsment alapelveit és az adat-architektúra fontosságát. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatarchitektúra tervezésének folyamatát.
Adatbázis-fejlesztő
Adatbázis-fejlesztő
Az adatbázis-fejlesztők adatbázis-alkalmazásokat terveznek, fejlesztenek és tesztelnek. Ebben a szerepben megértenék, hogyan lehet az adatokat hatékonyan tárolni és kezelni adatbázisokban. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatbázis-fejlesztés alapelveit.
Adatvédelmi tisztviselő
Adatvédelmi tisztviselő
Az adatvédelmi tisztviselők feladata az adatvédelmi előírások és követelmények érvényesítése. Ebben a szerepben megértenék, hogyan lehet az adatokat biztonságosan és megfelelőségnek megfelelően kezelni. Ez a kurzus segítene nekik megérteni az adatmenedzsment elveit és az adatvédelem fontosságát.
Adatminőségi mérnök
Adatminőségi mérnök
Az adatminőségi mérnökök biztosítják, hogy az adatok pontosak, megbízhatóak és hozzáférhetők legyenek. Ebben a szerepben megértenék az adatminőség elveit és gyakorlatait. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatminőség menedzsment fontosságát.
Adatmodellező
Adatmodellező
Az adatmodellezők adatmodellek terveznek és fejlesztenek. Ebben a szerepben megértenék az adatmenedzsment alapelveit és az adatmodellezés fontosságát. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatmodellezés folyamatát.
Adatkezelő
Adatkezelő
Az adatkezelők adatbázisokat és más adattárolási rendszereket kezelnek. Ebben a szerepben megértenék, hogyan lehet az adatokat hatékonyan tárolni és kezelni. Ez a kurzus segítene nekik megérteni az adat-ökoszisztémát és az adatkezelés alapelveit.
For more career information including salaries, visit:
OpenCourser.com/course/4t9ex0/data
Reading list
We've selected nine 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
Data Ecosystem.
Classic in the field of data warehousing. It provides a detailed overview of dimensional modeling, which key concept in data warehousing. It valuable resource for anyone who wants to learn more about dimensional modeling.
Classic in the field of data warehousing. It provides a detailed overview of the concepts, technologies, and applications of data warehousing. It valuable resource for anyone who wants to learn more about data warehousing.
Provides a comprehensive overview of deep learning. It covers topics such as deep learning algorithms, deep learning applications, and deep learning best practices. It great resource for anyone who wants to learn more about deep learning.
Save
Provides a comprehensive overview of data quality. It covers topics such as data quality assessment, data quality improvement, and data quality management. It great resource for anyone who wants to learn more about data quality.
Provides a comprehensive overview of data management, covering topics such as data quality, data governance, and data architecture. It great resource for anyone who wants to learn more about the basics of data management.
Provides a gentle introduction to Pandas. It covers topics such as Pandas basics, Pandas operations, and Pandas dataframes. It great resource for anyone who wants to learn more about Pandas.
Provides a gentle introduction to machine learning. It covers topics such as machine learning algorithms, machine learning applications, and machine learning best practices. It great resource for anyone who wants to learn more about machine learning.
Provides a gentle introduction to TensorFlow. It covers topics such as TensorFlow basics, TensorFlow operations, and TensorFlow models. It great resource for anyone who wants to learn more about TensorFlow.
Provides a gentle introduction to PyTorch. It covers topics such as PyTorch basics, PyTorch operations, and PyTorch models. It great resource for anyone who wants to learn more about PyTorch.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4t9ex0/data
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Effort
3 weeks of study, 3-5 hours/week
Level
Introductory
Via
Coursera
Institution
Tableau Learning Partner
Instructor
Tableau Learning Partner Instructor
Language
English
Transcripts
magyar nyelv
اُردُو,
فارسی
বাংলা
پښتو
آذربایجان دیلی
This course belongs to a
collection
called
Tableau Business Intelligence Analyst . It's comprised of eight courses:
Good to know
Introduces the foundational concepts of data management and organization, essential for understanding data ecosystems
Covers various data sources and their applications, providing a comprehensive understanding of data management practices
Emphasizes the importance of data quality and data governance in ensuring data reliability and usability
Explores the principles and goals of data management, equipping learners with a solid understanding of data management frameworks
Provides a foundational understanding of data warehousing and data lakes, essential for data management and analytics
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