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Harrison Kong
In this 1 hour class you will learn the basics of using Scala with Apache Spark to process Big Data (large data sets). Work on a set of bicycle sale data to help the marketing team target different demographics. At the end of the course, you will have a good...
Read more
In this 1 hour class you will learn the basics of using Scala with Apache Spark to process Big Data (large data sets). Work on a set of bicycle sale data to help the marketing team target different demographics. At the end of the course, you will have a good...
Read more
In this 1 hour class you will learn the basics of using Scala with Apache Spark to process Big Data (large data sets). Work on a set of bicycle sale data to help the marketing team target different demographics. At the end of the course, you will have a good foundation of how to get insights from data sets.
Register for this course and see more details by visiting:
OpenCourser.com/course/ymye4a/big
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Teaches how to combine Scala and Apache Spark to process Big Data, a highly relevant skill in industry
Introduces the basics of Scala and Apache Spark, making it accessible to beginners
Offers hands-on practice with a real-world dataset, providing practical experience
Lays a solid foundation for extracting insights from data sets, a valuable skill for data analysts and data scientists
May be limited in scope, as it only covers the basics of Scala and Apache Spark
Requires students to have some prior programming experience, which may be a barrier for complete beginners
Save this course
Save Big Data with Scala and Spark to your list so you can find it easily later:
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Reviews summary
Focused scala and spark big data basics
This course's single 1-hour class provides a well-received foundational introduction to working with Scala and Spark in Big Data analysis. Students who enjoyed the course found the practical lab especially helpful as it covered installation and configuration of the tools. However, other students noted the lack of additional exercises and frustrations with accessing course materials.
Course features a practical lab that many found helpful.
"I really enjoyed the lab, I learned spark, scala and also how to configure intellij."
Course is lacking in exercises beyond the lab.
"looking for some more exercises "
Problems accessing project materials noted.
"not able to access the project"
"I was unable to view the course material since the browser froze when I tried to access."
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 Big Data with Scala and Spark with these
activities:
Compile your notes, assignments, quizzes, and exams
Show steps
Compiling your materials will help you review the course material and identify areas where you need additional support.
Show steps
-
Gather your notes, assignments, quizzes, and exams
-
Organize your materials into a single folder or notebook
Review your basic data science skills
Show steps
Refresher your basic data science skills will help you prepare for this course.
Browse courses on
Data Science
Show steps
-
Review your notes from previous data science courses
-
Take a refresher course or tutorial
Read a book on Apache Spark
Show steps
Reading a book on Apache Spark will give you a deeper understanding of the framework and its capabilities.
View
Learning Spark: Lightning-Fast Big Data Analysis
on Amazon
Show steps
Five other activities
Expand to see all activities and additional details
Show all eight activities
Find and follow a tutorial on how to use Scala with Spark
Show steps
Following a tutorial will help you learn the basics of Scala and Spark and get started with working with big data.
Browse courses on
Scala
Show steps
-
Search for a tutorial on how to use Scala with Spark
-
Follow the steps in the tutorial
-
Complete the exercises in the tutorial
Join a study group or participate in peer sessions
Show steps
Working with peers will help you learn from others and reinforce your understanding of the course material.
Show steps
-
Find a study group or peer session
-
Attend the study group or peer session
-
Participate in discussions and ask questions
Practice writing Scala code to work with Spark
Show steps
Practicing writing Scala code will help you develop proficiency with the language and Spark.
Browse courses on
Scala
Show steps
-
Find some Scala code examples online
-
Try running the code examples on your own
-
Write your own Scala code to work with Spark
Create a data visualization of bicycle sale data
Show steps
Creating a data visualization will help you understand the bicycle sale data and identify trends and patterns.
Browse courses on
Data Visualization
Show steps
-
Import the bicycle sale data into Apache Spark
-
Use Spark SQL to query the data and create a data frame
-
Use a data visualization library (e.g., Plotly) to create a visualization
Attend a workshop on Apache Spark
Show steps
Attending a workshop will give you hands-on experience with Apache Spark.
Browse courses on
Apache Spark
Show steps
-
Find a workshop on Apache Spark
-
Register for the workshop
-
Attend the workshop
Compile your notes, assignments, quizzes, and exams
Show steps
Compiling your materials will help you review the course material and identify areas where you need additional support.
Show steps
Show steps
Show steps
- Gather your notes, assignments, quizzes, and exams
- Organize your materials into a single folder or notebook
Review your basic data science skills
Show steps
Refresher your basic data science skills will help you prepare for this course.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Review your notes from previous data science courses
- Take a refresher course or tutorial
Read a book on Apache Spark
Show steps
Reading a book on Apache Spark will give you a deeper understanding of the framework and its capabilities.
View
Learning Spark: Lightning-Fast Big Data Analysis
on Amazon
Show steps
Show steps
Show steps
Five other activities
Expand to see all activities and additional details
Show all eight activities
Find and follow a tutorial on how to use Scala with Spark
Show steps
Following a tutorial will help you learn the basics of Scala and Spark and get started with working with big data.
Browse courses on
Scala
Show steps
Show steps
Show steps
- Search for a tutorial on how to use Scala with Spark
- Follow the steps in the tutorial
- Complete the exercises in the tutorial
Join a study group or participate in peer sessions
Show steps
Working with peers will help you learn from others and reinforce your understanding of the course material.
Show steps
Show steps
Show steps
- Find a study group or peer session
- Attend the study group or peer session
- Participate in discussions and ask questions
Practice writing Scala code to work with Spark
Show steps
Practicing writing Scala code will help you develop proficiency with the language and Spark.
Browse courses on
Scala
Show steps
Show steps
Show steps
- Find some Scala code examples online
- Try running the code examples on your own
- Write your own Scala code to work with Spark
Create a data visualization of bicycle sale data
Show steps
Creating a data visualization will help you understand the bicycle sale data and identify trends and patterns.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Import the bicycle sale data into Apache Spark
- Use Spark SQL to query the data and create a data frame
- Use a data visualization library (e.g., Plotly) to create a visualization
Attend a workshop on Apache Spark
Show steps
Attending a workshop will give you hands-on experience with Apache Spark.
Browse courses on
Apache Spark
Show steps
Show steps
Show steps
- Find a workshop on Apache Spark
- Register for the workshop
- Attend the workshop
Career center
Learners who complete Big Data with Scala and Spark will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer builds and maintains the infrastructure that supports data analytics. This course helps Data Engineers build a foundation for using Apache Spark and Scala to process Big Data.
Data Architect
Data Architect
A Data Architect designs and builds data architectures. This course helps Data Architects build a foundation for using Apache Spark and Scala to process Big Data.
Data Scientist
Data Scientist
A Data Scientist builds and uses models to analyze large amounts of data to help a business make better decisions. This course may be useful for Data Scientists who use Apache Spark and want to improve their skills with Scala.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers who work on Big Data applications and want to improve their skills with Scala and Apache Spark.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This course may be useful for Machine Learning Engineers who use Apache Spark and want to improve their skills with Scala.
Data Analyst
Data Analyst
A Data Analyst uses data to improve business through data-driven insights. This course may be useful to Data Analysts who use Apache Spark but want to improve their skills with Scala.
Business Analyst
Business Analyst
A Business Analyst uses data to improve business through data-driven insights. This course may be useful to Business Analysts who want to improve their skills with Apache Spark and Scala.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful for Database Administrators who want to improve their skills with Apache Spark and Scala.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. This course may be useful for Statisticians who want to improve their skills with Apache Spark and Scala.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze data. This course may be useful for Quantitative Analysts who want to improve their skills with Apache Spark and Scala.
Market Researcher
Market Researcher
A Market Researcher conducts research to understand market trends. This course may be useful for Market Researchers who want to improve their skills with Apache Spark and Scala.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful for Financial Analysts who want to improve their skills with Apache Spark and Scala.
Actuary
Actuary
An Actuary analyzes and manages financial risk. This course may be useful for Actuaries who want to improve their skills with Apache Spark and Scala.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems. This course may be useful for Operations Research Analysts who want to improve their skills with Apache Spark and Scala.
Risk Analyst
Risk Analyst
A Risk Analyst analyzes and manages risk. This course may be useful for Risk Analysts who want to improve their skills with Apache Spark and Scala.
For more career information including salaries, visit:
OpenCourser.com/course/ymye4a/big
Reading list
We've selected 12 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
Big Data with Scala and Spark.
Save
As one of the key texts in the Apache Spark community, this book is essential for building a deep understanding of how Spark works, and how to address common problems and tasks in the real world.
Save
Provides a comprehensive overview of advanced Scala programming techniques. It covers everything from type systems and concurrency to functional programming and object-oriented design.
Provides a comprehensive overview of functional programming in Scala. It covers everything from basic concepts like lambdas and currying to advanced topics like monads and type classes.
Save
Provides a deep dive into the challenges and considerations when designing data-intensive applications and systems.
Serves as the definitive reference for Apache Spark, offering a comprehensive overview of its features and capabilities.
Provides a fast-paced overview of the Scala programming language. It great resource for anyone who wants to learn Scala quickly.
While this book focuses on R and Hadoop, it offers valuable insights into the challenges and approaches involved in working with Big Data, which can be applied to Scala and Spark.
Although this book focuses on Python and Spark, it provides a solid foundation for understanding machine learning algorithms and techniques that can be applied to Scala and Spark.
Save
Provides a practical guide to Scala programming, covering both the basics and more advanced topics, and serves as a good complement to the course's focus on Scala.
Save
Provides a practical introduction to the Scala programming language. It great resource for anyone who wants to learn Scala quickly.
While this book focuses on Pandas, it offers valuable insights into data analysis and data manipulation techniques that can be applied to Scala and Spark.
Save
Provides a gentle introduction to the Scala programming language. It great resource for anyone who is new to Scala.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ymye4a/big
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Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Harrison Kong
Good to know
Teaches how to combine Scala and Apache Spark to process Big Data, a highly relevant skill in industry
Introduces the basics of Scala and Apache Spark, making it accessible to beginners
Offers hands-on practice with a real-world dataset, providing practical experience
Lays a solid foundation for extracting insights from data sets, a valuable skill for data analysts and data scientists
May be limited in scope, as it only covers the basics of Scala and Apache Spark
Requires students to have some prior programming experience, which may be a barrier for complete beginners
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