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Josh Bernhard ,
Mike Yi,
Judit Lantos,
David Drummond,
Andrew Paster,
Juno Lee,
and
Luis Serrano
Register for this course and see more details by visiting:
OpenCourser.com/course/rfm1rh/capstone
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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, we will cover various troubleshooting techniques and potential ways of optimizing the performance of your Spark applications.
In this lesson, we'll explore Spark's ML capabilities and build ML models and pipelines.
[DSND Capstone] Cloud Deployment Instructions
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills in data cleansing, aggregation, and optimization, which are core for data analysis
Provides hands-on experience through labs and interactive materials, which enhance learning
Taught by instructors with industry experience, which ensures practical relevance
Covers Apache Spark, a widely used technology in industry, which increases employability
Builds a strong foundation for both beginners and experienced learners, which increases accessibility
Save this course
Save [Capstone Content] Spark to your list so you can find it easily later:
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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 [Capstone Content] Spark with these
activities:
Revise Python programming fundamentals
Show steps
Strengthen your Python programming foundation to ensure a seamless learning experience, as Spark is primarily used with Python.
Browse courses on
Python Basics
Show steps
-
Review core Python concepts, such as data types, variables, and control flow
-
Practice writing simple Python scripts
Show all one activities
Revise Python programming fundamentals
Show steps
Strengthen your Python programming foundation to ensure a seamless learning experience, as Spark is primarily used with Python.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review core Python concepts, such as data types, variables, and control flow
- Practice writing simple Python scripts
Show all one activities
Career center
Learners who complete [Capstone Content] Spark will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They gather, clean, and analyze data, and then use their findings to develop models and make predictions. The [Capstone Content] Spark course may be useful by helping you build a foundation in data science, a key skill for this role.
Statistician
Statistician
A Statistician uses data to make informed decisions. They gather, clean, and analyze data, and then use their findings to draw conclusions about the world. The [Capstone Content] Spark course may be useful by helping you build a foundation in statistics, a key skill for this role.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. They use their knowledge of data science, statistics, and computer science to solve real-world problems. The [Capstone Content] Spark course may be useful by helping you build a foundation in machine learning, a key skill for this role.
Data Analyst
Data Analyst
A Data Analyst uses data to make informed recommendations to businesses. They gather, clean, and analyze data, and then present their findings in a way that business leaders can understand. The [Capstone Content] Spark course may be useful by helping you build a foundation in these areas.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They ensure that databases are running smoothly and that data is safe and secure. The [Capstone Content] Spark course may be useful by helping you build a foundation in data management, a key skill for this role.
Data Administrator
Data Administrator
A Data Administrator manages and maintains data systems. They ensure that data is accurate, secure, and accessible to users. The [Capstone Content] Spark course may be useful by helping you build a foundation in data management, a key skill for this role.
Business Analyst
Business Analyst
A Business Analyst uses data to help businesses make better decisions. They gather, clean, and analyze data, and then present their findings to business leaders in a way that they can understand. The [Capstone Content] Spark course may be useful by helping you build a foundation in data analysis, a key skill for this role.
Data Architect
Data Architect
A Data Architect designs and builds data architectures. They work with stakeholders to understand their data needs and then develop a plan to meet those needs. The [Capstone Content] Spark course may be useful by helping you build a foundation in data management, a key skill for this role.
Data Manager
Data Manager
A Data Manager plans and manages data resources. They work with stakeholders to understand their data needs and then develop and implement a data management strategy. The [Capstone Content] Spark course may be useful by helping you build a foundation in data management, a key skill for this role.
Data Engineer
Data Engineer
A Data Engineer designs, constructs, and maintains big data pipelines. They develop new data management systems to meet the growing demands of the business. The [Capstone Content] Spark course may be useful by helping you build a foundation in data cleaning and aggregation, two key aspects of data engineering.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. They work with customers to understand their needs and then develop and deploy cloud solutions. The [Capstone Content] Spark course may be useful by helping you build a foundation in cloud computing, a key skill for this role.
Network Engineer
Network Engineer
A Network Engineer designs, builds, and maintains computer networks. They work with customers to understand their needs and then develop and deploy network solutions. The [Capstone Content] Spark course may be useful by helping you build a foundation in network engineering, a key skill for this role.
Systems Engineer
Systems Engineer
A Systems Engineer designs, builds, and maintains computer systems. They work with customers to understand their needs and then develop and deploy systems solutions. The [Capstone Content] Spark course may be useful by helping you build a foundation in systems engineering, a key skill for this role.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. The [Capstone Content] Spark course may be useful by helping you build a foundation in data processing, a key skill for this role.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects data and information from unauthorized access, use, disclosure, disruption, modification, or destruction. The [Capstone Content] Spark course may be useful by helping you build a foundation in data security, a key skill for this role.
For more career information including salaries, visit:
OpenCourser.com/course/rfm1rh/capstone
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
[Capstone Content] Spark.
Save
Covers the fundamentals of Apache Spark, including its architecture, programming model, and core APIs. It valuable resource for anyone looking to learn more about Spark and its capabilities.
Is the definitive guide to Apache Spark. It covers everything from the basics of Spark to advanced topics such as machine learning and graph processing. It valuable resource for anyone who wants to learn more about Spark and how to use it effectively.
Covers the advanced topics of data analysis with Apache Spark. It valuable resource for anyone looking to learn more about advanced data analysis techniques and how to use Spark to implement them.
Provides a practical guide to data analysis with Apache Spark. It covers the basics of data analysis, as well as more advanced topics such as machine learning and natural language processing. It valuable resource for anyone looking to learn more about data analysis and Spark.
Covers the fundamentals of Apache Spark Streaming. It valuable resource for anyone looking to learn more about Spark Streaming and how to use it to process and analyze streaming data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rfm1rh/capstone
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Time
50400 hours
Level
Advanced
Via
Udacity
Instructors
Josh Bernhard
Mike Yi
Judit Lantos
David Drummond
Andrew Paster
Juno Lee
Luis Serrano
Language
English
Good to know
Develops skills in data cleansing, aggregation, and optimization, which are core for data analysis
Provides hands-on experience through labs and interactive materials, which enhance learning
Taught by instructors with industry experience, which ensures practical relevance
Covers Apache Spark, a widely used technology in industry, which increases employability
Builds a strong foundation for both beginners and experienced learners, which increases accessibility
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