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Working with Azure Databricks
Dean Savovic
Dean Savovic
In this 1-hour long project-based course, you will learn how to (create your own Azure Databricks workspace and create a cluster and notebook in Azure Databricks, use Azure Databricks to access data sources, reading data in Azure Databricks and perform ETL to...
Read more
In this 1-hour long project-based course, you will learn how to (create your own Azure Databricks workspace and create a cluster and notebook in Azure Databricks, use Azure Databricks to access data sources, reading data in Azure Databricks and perform ETL to...
Read more
In this 1-hour long project-based course, you will learn how to (create your own Azure Databricks workspace and create a cluster and notebook in Azure Databricks, use Azure Databricks to access data sources, reading data in Azure Databricks and perform ETL to populate a data model, perform basic transformations using Azure Databricks).
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/8nmth6/working
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
A foundational course for those wanting to learn data engineering with Azure Databricks
Builds skills that are highly relevant to industry
Course content offers hands-on labs and interactive materials
Might not be suitable for learners outside North America for the time being
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Reviews summary
Azure databricks basics
This beginner-friendly course provides a step-by-step guided project that teaches you the basics of Azure Databricks. However, some learners have noted that the course lacks organization.
Great for new users.
"good"
Hands-on learning experience.
"Step by step easy guided project"
Could be more organized.
"not systmatic approach toward the reader while explaining"
Activities
Coming soon
We're preparing activities for
Working with Azure Databricks.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Working with Azure Databricks will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to machine learning tasks such as data preprocessing, feature engineering, and model training.
Data Engineer
Data Engineer
A Data Engineer builds, tests, and maintains the infrastructure used to store and process data. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to data engineering tasks such as data ingestion, transformation, and analysis.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and insights. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to data analysis tasks such as data exploration, data visualization, and statistical modeling.
Data Scientist
Data Scientist
A Data Scientist develops and applies statistical and machine learning models to data to solve business problems. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to data science tasks such as data preparation, model building, and model evaluation.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to cloud engineering tasks such as data storage, data processing, and data analytics.
Data Architect
Data Architect
A Data Architect designs and manages the architecture of data systems. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to data architecture tasks such as data modeling, data integration, and data governance.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to software engineering tasks such as data integration, data processing, and data visualization.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to database administration tasks such as data storage, data security, and data performance.
Sales Manager
Sales Manager
A Sales Manager manages a team of sales representatives. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to sales tasks such as data analysis, data visualization, and data-driven decision making.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to marketing tasks such as data analysis, data visualization, and data-driven decision making.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to financial analysis tasks such as data collection, data analysis, and data visualization.
Product Manager
Product Manager
A Product Manager manages the development and launch of new products. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to product management tasks such as data analysis, data visualization, and data-driven decision making.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and data to identify opportunities for improvement. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to business analysis tasks such as data collection, data analysis, and data visualization.
Consultant
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to consulting tasks such as data analysis, data visualization, and data-driven decision making.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to project management tasks such as data collection, data analysis, and data visualization.
For more career information including salaries, visit:
OpenCourser.com/course/8nmth6/working
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
Working with Azure Databricks.
Save
Provides a comprehensive overview of Spark, the open-source big data processing engine. It valuable resource for anyone who wants to learn more about Spark and how to use it effectively.
Provides a comprehensive overview of Apache Spark. It covers topics such as the architecture of Spark, how to use Spark for data engineering and analytics tasks, and how to optimize Spark performance.
Provides a comprehensive overview of data analysis with Python and Pandas. It valuable resource for anyone who wants to learn more about data analysis with Python.
Provides a comprehensive overview of machine learning with Python. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
Provides a comprehensive overview of deep learning with Python. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
Provides a comprehensive overview of statistical learning. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
Provides a comprehensive overview of algorithms. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
Provides a comprehensive overview of Hadoop. It valuable resource for anyone who wants to learn more about Hadoop and how to use it effectively.
Provides a comprehensive overview of data science for business. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8nmth6/working
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Dean Savovic
Good to know
A foundational course for those wanting to learn data engineering with Azure Databricks
Builds skills that are highly relevant to industry
Course content offers hands-on labs and interactive materials
Might not be suitable for learners outside North America for the time being
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