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David Drummond
and
Judit Lantos
Learn Spark with Udacity and master how to work with big data and build machine learning models at scale using Spark. Learn online with Udacity.
Register for this course and see more details by visiting:
OpenCourser.com/course/fbgx2x/spar
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What's inside
Syllabus
In this lesson, you will learn more about this course - what will be covered, and who you will be learning from - let's get started!
In this lesson, you will learn about the problems that Apache Spark is designed to solve. You'll also learn about the greater Big Data ecosystem and how Spark fits into it.
Read more
Syllabus
In this lesson, you will learn more about this course - what will be covered, and who you will be learning from - let's get started!
In this lesson, you will learn about the problems that Apache Spark is designed to solve. You'll also learn about the greater Big Data ecosystem and how Spark fits into it.
Read more
In this lesson, we'll dive into how to use Spark for cleaning and aggregating data.
In this lesson, you will learn to run Spark on a distributed cluster in AWS UI and AWS CLI.
In this lesson, you will learn best practices for debugging and optimizing your Spark applications.
In this lesson, we'll explore Spark's ML capabilities and build ML models and pipelines.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches learners how to perform data cleaning and aggregation at scale
Helps learners develop proficiency with a tool used in industry and academia
Provides foundational concepts and practical applications for data science
Offers hands-on labs and interactive materials for better understanding
Save this course
Save Spark 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 Spark with these
activities:
Review data processing concepts
Show steps
Refreshing your knowledge of data processing concepts will provide a foundation and enhance your learning experience in this course.
Browse courses on
Data Processing
Show steps
-
Review data processing fundamentals
-
Read articles or blog posts about data processing
-
Watch videos or tutorials on data processing
-
Take a quiz or assessment on data processing
Attend Spark meetups or conferences
Show steps
Networking events provide opportunities to connect with other Spark users, learn about new trends and technologies, and find potential collaborators.
Browse courses on
Networking
Show steps
-
Find a Spark meetup or conference near you
-
Register for the event
-
Attend the event and network with other attendees
-
Follow up with the people you met
-
Join online Spark communities and forums
Follow tutorials for Spark
Show steps
Guided tutorials introduce new concepts and techniques, provide step-by-step instructions, and allow you to practice what you learn in a safe and structured environment.
Browse courses on
Data Processing
Show steps
-
Find a tutorial on Spark
-
Follow the tutorial step-by-step
-
Experiment with the code
-
Ask questions and get help if needed
-
Complete the tutorial and move on to the next one
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Spark in practice
Show steps
Practice drills will strengthen your understanding of Spark’s functionalities as well as improve your proficiency in coding Spark applications.
Browse courses on
Data Processing
Show steps
-
Start a Spark session
-
Load data into a Spark DataFrame
-
Perform data transformations and aggregations
-
Perform machine learning tasks
-
Debug your Spark applications
Create a Spark visualization
Show steps
Creating visualizations allows you to communicate your findings effectively, identify trends and patterns in data, and make informed decisions.
Browse courses on
Data Visualization
Show steps
-
Gather the data you want to visualize
-
Choose a visualization tool
-
Create your visualization
-
Refine and iterate on your visualization
-
Share your visualization with others
Build a Spark project
Show steps
Projects allow you to apply what you have learned in the course, gain hands-on experience, and build a portfolio of work that you can showcase to potential employers or clients.
Browse courses on
Data Processing
Show steps
-
Define the scope of your project
-
Gather the necessary resources
-
Build your Spark application
-
Test and debug your application
-
Deploy your application
Build a Spark application
Show steps
Building a Spark application will allow you to apply the concepts and techniques you learn in this course to a practical project.
Browse courses on
Software Development
Show steps
-
Define the requirements for your application
-
Design and implement your application
-
Test and debug your application
-
Deploy your application
Review data processing concepts
Show steps
Refreshing your knowledge of data processing concepts will provide a foundation and enhance your learning experience in this course.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Review data processing fundamentals
- Read articles or blog posts about data processing
- Watch videos or tutorials on data processing
- Take a quiz or assessment on data processing
Attend Spark meetups or conferences
Show steps
Networking events provide opportunities to connect with other Spark users, learn about new trends and technologies, and find potential collaborators.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Find a Spark meetup or conference near you
- Register for the event
- Attend the event and network with other attendees
- Follow up with the people you met
- Join online Spark communities and forums
Follow tutorials for Spark
Show steps
Guided tutorials introduce new concepts and techniques, provide step-by-step instructions, and allow you to practice what you learn in a safe and structured environment.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Find a tutorial on Spark
- Follow the tutorial step-by-step
- Experiment with the code
- Ask questions and get help if needed
- Complete the tutorial and move on to the next one
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Spark in practice
Show steps
Practice drills will strengthen your understanding of Spark’s functionalities as well as improve your proficiency in coding Spark applications.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Start a Spark session
- Load data into a Spark DataFrame
- Perform data transformations and aggregations
- Perform machine learning tasks
- Debug your Spark applications
Create a Spark visualization
Show steps
Creating visualizations allows you to communicate your findings effectively, identify trends and patterns in data, and make informed decisions.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather the data you want to visualize
- Choose a visualization tool
- Create your visualization
- Refine and iterate on your visualization
- Share your visualization with others
Build a Spark project
Show steps
Projects allow you to apply what you have learned in the course, gain hands-on experience, and build a portfolio of work that you can showcase to potential employers or clients.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Define the scope of your project
- Gather the necessary resources
- Build your Spark application
- Test and debug your application
- Deploy your application
Build a Spark application
Show steps
Building a Spark application will allow you to apply the concepts and techniques you learn in this course to a practical project.
Browse courses on
Software Development
Show steps
Show steps
Show steps
- Define the requirements for your application
- Design and implement your application
- Test and debug your application
- Deploy your application
Career center
Learners who complete Spark will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. They work with big data technologies such as Apache Spark to process and analyze large amounts of data. This course can help you build a strong foundation in Spark, which is a key skill for Data Engineers. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They use a variety of tools and techniques to analyze data, build machine learning models, and communicate their findings. This course can help you build a strong foundation in Spark, which is a key tool for Data Scientists. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds, deploys, and maintains machine learning models. They work with big data technologies such as Apache Spark to process and analyze large amounts of data. This course can help you build a strong foundation in Spark, which is a key skill for Machine Learning Engineers. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Software Engineer
Software Engineer
A Software Engineer designs, builds, and maintains software applications. They work with a variety of technologies, including big data technologies such as Apache Spark. This course can help you build a strong foundation in Spark, which is a valuable skill for Software Engineers. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. They use a variety of tools and techniques to analyze data, including big data technologies such as Apache Spark. This course can help you build a strong foundation in Spark, which is a valuable skill for Data Analysts. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and data to identify areas for improvement. They use a variety of tools and techniques to analyze data, including big data technologies such as Apache Spark. This course can help you build a strong foundation in Spark, which is a valuable skill for Business Analysts. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Management Consultant
Management Consultant
A Management Consultant advises businesses on how to improve their operations. They work with a variety of stakeholders, including executives, managers, and employees. This course can help you build a strong foundation in Spark, which is a valuable skill for Management Consultants. You will learn how to use Spark to analyze data and identify trends and patterns.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for the development and implementation of marketing campaigns. They work with a variety of stakeholders, including customers, partners, and the media. This course can help you build a strong foundation in Spark, which is a valuable skill for Marketing Managers. You will learn how to use Spark to analyze data and identify trends and patterns.
Sales Manager
Sales Manager
A Sales Manager is responsible for the development and implementation of sales strategies. They work with a variety of stakeholders, including customers, partners, and the media. This course can help you build a strong foundation in Spark, which is a valuable skill for Sales Managers. You will learn how to use Spark to analyze data and identify trends and patterns.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical models to solve business problems. They work with a variety of stakeholders, including engineers, managers, and executives. This course can help you build a strong foundation in Spark, which is a valuable skill for Operations Research Analysts. You will learn how to use Spark to analyze data and identify trends and patterns.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to identify investment opportunities. They work with a variety of stakeholders, including investors, banks, and corporations. This course can help you build a strong foundation in Spark, which is a valuable skill for Financial Analysts. You will learn how to use Spark to analyze data and identify trends and patterns.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, designers, and marketers. This course can help you build a strong foundation in Spark, which is a valuable skill for Product Managers. You will learn how to use Spark to analyze data and identify trends and patterns.
Data Journalist
Data Journalist
A Data Journalist uses data to tell stories. They work with a variety of stakeholders, including editors, producers, and the public. This course can help you build a strong foundation in Spark, which is a valuable skill for Data Journalists. You will learn how to use Spark to analyze data and identify trends and patterns.
Academic Researcher
Academic Researcher
An Academic Researcher conducts research in a variety of fields, including science, engineering, and the social sciences. This course can help you build a strong foundation in Spark, which is a valuable skill for Academic Researchers. You will learn how to use Spark to analyze data and identify trends and patterns. This course may also be helpful for those who wish to pursue a career in academia.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. They work with a variety of stakeholders, including researchers, businesses, and governments. This course can help you build a strong foundation in Spark, which is a valuable skill for Statisticians. You will learn how to use Spark to analyze data and identify trends and patterns.
For more career information including salaries, visit:
OpenCourser.com/course/fbgx2x/spar
Reading list
We've selected five 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
Spark.
Is the definitive guide to Spark. It covers everything from the basics of Spark to advanced topics such as graph analytics and machine learning.
Save
Provides a comprehensive overview of the Apache Spark ecosystem, including its architecture, components, and use cases. It valuable resource for anyone looking to gain a deeper understanding of Spark and its applications.
Save
Practical guide to using Spark for big data analytics. It covers a wide range of topics, from data ingestion and processing to machine learning and graph analytics.
Provides a comprehensive overview of Spark for data scientists and engineers. It covers a wide range of topics, from dataframes and SQL to machine learning and deep learning.
Provides an in-depth look at advanced analytics with Spark. It covers a wide range of topics, from graph analytics and streaming to machine learning and deep learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fbgx2x/spar
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Effort
8 hours
Via
Udacity
Instructors
David Drummond
Judit Lantos
Language
English
Good to know
Teaches learners how to perform data cleaning and aggregation at scale
Helps learners develop proficiency with a tool used in industry and academia
Provides foundational concepts and practical applications for data science
Offers hands-on labs and interactive materials for better understanding
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