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Florencia Silvestre
In this 1-hour long project-based course, you will learn how to interact with a Spark cluster using Jupyter notebook and how to start a Spark application.
You will learn how to utilize Spark Resisilent Distributed Datasets and Spark Data Frames to explore a dataset. We will load a dataset into our Spark program, and perform analysis on it by using Actions, Transformations, Spark DataFrame API and Spark SQL.
You will learn how to choose the best tools to use for each scenario. Finally, you will learn to save your results in Parquet tables.
Register for this course and see more details by visiting:
OpenCourser.com/course/lxobuu/explore
What's inside
Syllabus
Explore stock prices with Spark SQL
Welcome to this project-based course on Exploring stock prices with Spark SQL!
In this project, you will learn the basics of distributed programming using Spark and you will learn how to derive knowledge from data in an interactive way.
This is a great hands-on experience to interact with Spark. You will learn how to optimally load data for analysis, and how you can explore it by using Spark RDD, Spark DataFrames.
By the end of this project, you will be able to explore and perform statistical analysis on Stock prices datasets using Apache Spark SQL and Spark DataFrame API. Learners will be able to create parquet tables and store their results in them.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines stock prices, which is highly relevant to the finance industry
Taught by Florencia Silvestre, who are recognized for their work in distributed programming
Develops knowledge and skills in Spark and SQL, which are core tools for data analysts
Builds a strong foundation for beginners in data analysis
Offers hands-on labs and interactive materials, providing practical experience
May require prior knowledge of programming and data analysis concepts
Save this course
Save Explore stock prices with Spark SQL to your list so you can find it easily later:
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Reviews summary
Spark sql stock prices primer
Learners say this introductory course provides a solid foundation in using Apache Spark SQL to analyze stock prices with Python. Many find the professor to be knowledgeable, engaging, and supportive. The course revolves around a single hands-on project, which some learners appreciate but others find too basic and in need of more materials.
Single project is both good and bad
"Please make more projects like this."
"The said project need much enhancement and more materials"
Instructor is friendly and knowledgeable
"Amazing Professor!!!"
"Great course, the instructor is good "
Suitable as an intro to Spark SQL
"Amazing content!"
"excellent intro in spark with Python"
"content of the course is simple, usefull"
Labs sometimes don't work
"lab doesn't work ... i quit"
"cloud platform is not usable at all"
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 Explore stock prices with Spark SQL with these
activities:
Review Apache Spark Concepts
Show steps
Review the fundamental concepts of Apache Spark, including RDDs, DataFrames, and transformations, to strengthen your understanding before starting the course.
Browse courses on
Apache Spark
Show steps
-
Revisit the basics of RDDs (Resilient Distributed Datasets) and their operations.
-
Practice creating and manipulating Spark DataFrames using transformations and actions.
Spark Tutorial for Beginners
Show steps
This tutorial will teach you the basics of Apache Spark and help you get started with Spark programming.
Show steps
-
Watch the video tutorial: Introduction to Apache Spark
-
Follow the written tutorial: Getting Started with Apache Spark
-
Complete the hands-on exercises
Explore Spark API Documentation
Show steps
Become familiar with the Spark API documentation to enhance your understanding of the various functions, classes, and modules available in Spark.
Browse courses on
Spark Programming
Show steps
-
Explore the official Spark documentation and tutorials.
-
Follow along with hands-on examples and code snippets to practice using the API.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Build a Spark Application
Show steps
This project will allow you to apply what you have learned in the course and build a real-world Spark application.
Show steps
-
Define the problem you want to solve
-
Design the Spark application
-
Implement the Spark application
-
Test the Spark application
Participate in a Spark Study Group
Show steps
Join a study group with fellow learners to discuss concepts, share knowledge, and work through challenges together. This can enhance your understanding and foster a supportive learning environment.
Browse courses on
Collaborative Learning
Show steps
-
Find or form a study group with classmates or online communities.
-
Establish regular meeting times and set goals for each session.
-
Discuss course material, ask questions, and work on projects together.
Write a Blog Post about Spark
Show steps
Use your knowledge of Spark to help others learn.
Show steps
-
Summarize the latest trends in Apache Spark
-
Provide your insights on the future of data science and big data
-
Publish your blog post
Design a Spark Application
Show steps
Apply your knowledge by designing a Spark application that addresses a specific data analysis task. This will deepen your understanding of Spark capabilities.
Show steps
-
Define the problem statement and identify the data sources.
-
Design a data analysis pipeline using Spark transformations and actions.
-
Create a Spark application to implement the pipeline.
Develop a Data Visualization Dashboard
Show steps
Create an interactive data visualization dashboard using a Spark-based framework. This will demonstrate your ability to present data insights effectively and communicate findings to stakeholders.
Browse courses on
Data Visualization
Show steps
-
Gather and prepare the necessary data.
-
Choose a suitable visualization library and create interactive visualizations.
-
Design and develop a user-friendly dashboard to present the visualizations.
Contribute to Spark Projects
Show steps
Engage with the Apache Spark community by contributing to open-source projects. This will not only advance your skills but also give you valuable hands-on experience in a real-world setting.
Show steps
-
Explore open-source Spark projects on platforms like GitHub.
-
Identify areas where you can contribute, such as bug fixes or feature enhancements.
-
Submit your contributions and engage with maintainers to improve the project.
Review Apache Spark Concepts
Show steps
Review the fundamental concepts of Apache Spark, including RDDs, DataFrames, and transformations, to strengthen your understanding before starting the course.
Browse courses on
Apache Spark
Show steps
Show steps
Show steps
- Revisit the basics of RDDs (Resilient Distributed Datasets) and their operations.
- Practice creating and manipulating Spark DataFrames using transformations and actions.
Spark Tutorial for Beginners
Show steps
This tutorial will teach you the basics of Apache Spark and help you get started with Spark programming.
Show steps
Show steps
Show steps
- Watch the video tutorial: Introduction to Apache Spark
- Follow the written tutorial: Getting Started with Apache Spark
- Complete the hands-on exercises
Explore Spark API Documentation
Show steps
Become familiar with the Spark API documentation to enhance your understanding of the various functions, classes, and modules available in Spark.
Browse courses on
Spark Programming
Show steps
Show steps
Show steps
- Explore the official Spark documentation and tutorials.
- Follow along with hands-on examples and code snippets to practice using the API.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Build a Spark Application
Show steps
This project will allow you to apply what you have learned in the course and build a real-world Spark application.
Show steps
Show steps
Show steps
- Define the problem you want to solve
- Design the Spark application
- Implement the Spark application
- Test the Spark application
Participate in a Spark Study Group
Show steps
Join a study group with fellow learners to discuss concepts, share knowledge, and work through challenges together. This can enhance your understanding and foster a supportive learning environment.
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Find or form a study group with classmates or online communities.
- Establish regular meeting times and set goals for each session.
- Discuss course material, ask questions, and work on projects together.
Write a Blog Post about Spark
Show steps
Use your knowledge of Spark to help others learn.
Show steps
Show steps
Show steps
- Summarize the latest trends in Apache Spark
- Provide your insights on the future of data science and big data
- Publish your blog post
Design a Spark Application
Show steps
Apply your knowledge by designing a Spark application that addresses a specific data analysis task. This will deepen your understanding of Spark capabilities.
Show steps
Show steps
Show steps
- Define the problem statement and identify the data sources.
- Design a data analysis pipeline using Spark transformations and actions.
- Create a Spark application to implement the pipeline.
Develop a Data Visualization Dashboard
Show steps
Create an interactive data visualization dashboard using a Spark-based framework. This will demonstrate your ability to present data insights effectively and communicate findings to stakeholders.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather and prepare the necessary data.
- Choose a suitable visualization library and create interactive visualizations.
- Design and develop a user-friendly dashboard to present the visualizations.
Contribute to Spark Projects
Show steps
Engage with the Apache Spark community by contributing to open-source projects. This will not only advance your skills but also give you valuable hands-on experience in a real-world setting.
Show steps
Show steps
Show steps
- Explore open-source Spark projects on platforms like GitHub.
- Identify areas where you can contribute, such as bug fixes or feature enhancements.
- Submit your contributions and engage with maintainers to improve the project.
Career center
Learners who complete Explore stock prices with Spark SQL will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course will help you build a foundation in Spark, which is a popular tool for building data pipelines. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Data Engineer, as you will be able to use Spark to build efficient and scalable data pipelines.
Data Analyst
Data Analyst
Data Analysts sift through large amounts of data and analyze it to help organizations make informed decisions. This course will help you build a foundation in Spark, which is a powerful tool for working with large datasets. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Data Analyst, as you will be able to use Spark to analyze large datasets and extract valuable insights.
Data Scientist
Data Scientist
Data Scientists use data to build models that can predict future outcomes. This course will help you build a foundation in Spark, which is a powerful tool for working with large datasets. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Data Scientist, as you will be able to use Spark to build models that can predict future outcomes.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software applications. This course will help you build a foundation in Spark, which is a popular tool for building distributed applications. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Software Engineer, as you will be able to use Spark to build scalable and efficient software applications.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. This course will help you build a foundation in Spark, which is a popular tool for working with large datasets. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Database Administrator, as you will be able to use Spark to manage and analyze large databases.
Market Researcher
Market Researcher
Market Researchers conduct research to understand consumer behavior and trends. This course will help you build a foundation in Spark, which is a popular tool for working with large datasets. You will learn how to load, explore, and analyze stock prices using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Market Researcher, as you will be able to use Spark to analyze large datasets and extract valuable insights.
Financial Analyst
Financial Analyst
Financial Analysts use data to analyze financial markets and make investment recommendations. This course will help you build a foundation in Spark, which is a popular tool for working with large datasets. You will learn how to load, explore, and analyze stock prices using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Financial Analyst, as you will be able to use Spark to analyze large datasets and extract valuable insights.
Risk Analyst
Risk Analyst
Risk Analysts use data to assess and manage risk. This course will help you build a foundation in Spark, which is a popular tool for working with large datasets. You will learn how to load, explore, and analyze stock prices using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Risk Analyst, as you will be able to use Spark to analyze large datasets and extract valuable insights.
Business Analyst
Business Analyst
Business Analysts use data to help organizations make informed decisions. This course will help you build a foundation in Spark, which is a powerful tool for working with large datasets. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Business Analyst, as you will be able to use Spark to analyze data and extract valuable insights.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to build models that can predict future outcomes. This course will help you build a foundation in Spark, which is a popular tool for working with large datasets. You will learn how to load, explore, and analyze stock prices using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Quantitative Analyst, as you will be able to use Spark to build models that can predict future outcomes.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help organizations make informed decisions. This course will help you build a foundation in Spark, which is a popular tool for working with large datasets. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Business Intelligence Analyst, as you will be able to use Spark to analyze large datasets and extract valuable insights.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use data to create visualizations that help people understand data. This course will help you build a foundation in Spark, which is a popular tool for working with large datasets. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Data Visualization Analyst, as you will be able to use Spark to create visualizations that help people understand large datasets.
Statistician
Statistician
Statisticians use data to make inferences about populations. This course will help you build a foundation in Spark, which is a popular tool for working with large datasets. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Statistician, as you will be able to use Spark to analyze large datasets and make inferences about populations.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course will help you build a foundation in Spark, which is a popular tool for building machine learning models. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Machine Learning Engineer, as you will be able to use Spark to build and deploy machine learning models.
Data Architect
Data Architect
Data Architects design and build data architectures. This course will help you build a foundation in Spark, which is a popular tool for building data architectures. You will learn how to load, explore, and analyze data using Spark SQL and Spark DataFrame API. This knowledge will be valuable in a role as a Data Architect, as you will be able to use Spark to design and build scalable and efficient data architectures.
For more career information including salaries, visit:
OpenCourser.com/course/lxobuu/explore
Reading list
We've selected seven 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
Explore stock prices with Spark SQL.
Provides a comprehensive guide to Apache Spark. It covers a wide range of topics, including the fundamentals of Spark, Spark RDDs, DataFrames, and SQL.
Save
Provides a comprehensive introduction to Apache Spark, covering the fundamentals of Spark RDDs, DataFrames, and SQL. It also includes hands-on examples of how to use Spark for data analysis and machine learning.
Provides a comprehensive guide to Apache Spark, covering its core concepts, APIs, and use cases. It valuable resource for anyone looking to learn more about Spark and how to use it for big data processing.
Provides a comprehensive guide to Apache Hadoop, covering its core concepts, APIs, and use cases. It valuable resource for anyone looking to learn more about Hadoop and how to use it for big data processing.
Provides a comprehensive guide to data-intensive text processing with Apache Hadoop and MapReduce. It covers a wide range of topics, including text mining, natural language processing, and machine learning.
Provides a deep dive into the advanced features of Apache Spark, including streaming data, graph processing, and machine learning. It valuable resource for developers who want to learn how to use Spark for more complex data analysis and machine learning tasks.
Save
Provides a comprehensive guide to optimizing Spark performance. It covers a wide range of topics, including data partitioning, caching, and tuning Spark configurations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/lxobuu/explore
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Florencia Silvestre
Language
English
Good to know
Examines stock prices, which is highly relevant to the finance industry
Taught by Florencia Silvestre, who are recognized for their work in distributed programming
Develops knowledge and skills in Spark and SQL, which are core tools for data analysts
Builds a strong foundation for beginners in data analysis
Offers hands-on labs and interactive materials, providing practical experience
May require prior knowledge of programming and data analysis concepts
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