Scala and Spark for Big Data and Machine Learning from Udemy

What's inside

Learning objectives

Use scala for programming
Use spark 2.0 dataframes to read and manipulate data

Use spark to process large datasets
Understand hot to use spark on aws and databricks

Use scala for programming
Use spark 2.0 dataframes to read and manipulate data
Use spark to process large datasets
Understand hot to use spark on aws and databricks

Syllabus

Learn about this course and FAQs

Welcome to the Course!

FAQ for the course!

Get an Overview of Scala and why it is one of the most in demand programming skills!

Get an overview of the IDE we choose for this course: ScalaIDE

Let's get you set-up!

Let's install Scala and Spark on your Windows Machine!

Learn about various options for IDEs for Scala and Spark

Install Spark and Scala if you are on a Mac!

Full guide to installing Spark and Scala on a Linux Ubuntu Platform

Learn about basic arithmetic operators in Scala

Learn the basics of Data Types in Scala

Learn about Relational operators in Scala

Learn about strings in Scala

Learn about Scala tuples!

Test your knowledge!

Time to practice!

Learn about Logical Operators

Part of the Scala Collections section of the course!

Part of the Scala Collections Section

Part of the Scala Collections Part of the Course

Learn Level Two of Scala Programming!

Learn how to create control flow loops with Scala

Learn how to create functions with Scala!

Overview of Scala Level One Assessment

Solutions to Scala Programming Test

Quick note!

Learn how to use the Latest Spark 2.0 DataFrames!

Quick note!

Part of the Machine Learning with Scala and Spark Section

Learn about Regression Models with Spark!

Quick note

Learn about Classification with Spark!

Learn about Model Evaluation with Spark

Learn about Model Evaluation with Spark!

Learn how to use Clustering Algorithms with Spark!

Learn how to conduct a Principal Component Analysis with Spark!

Learn how to build a Recommender System on Databricks!

Learn how to set up your own cluster on AWS EMR!

Find out what's next for you

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops the most recent and valuable skills in decentralized finance

Covers advanced topics such as tokenization, smart contracts, and decentralized applications

Provides hands-on labs and interactive materials to enhance learning

Taught by Jose Portilla, a recognized expert in blockchain technology

Requires prior programming knowledge, which may limit accessibility

Assumes a certain level of mathematical maturity, which may pose a barrier for some learners

Reviews summary

Scala and spark for big data

According to learners, this course provides a solid foundation and practical introduction to using Scala and Spark for Big Data analysis and Machine Learning. Students particularly praise the hands-on projects and coding exercises as helpful for understanding concepts. Many find the course material clear and well-explained, especially for those new to Spark. However, some reviewers note that the course might be less suitable for experienced learners seeking deep dives and mention that some content, particularly around environment setup or specific libraries, could be outdated due to the fast-moving nature of the technologies. Despite this, the overall sentiment is largely positive, with many feeling it helps them build essential skills for big data roles.

Content is well-explained and easy to follow.

"The instructor explains concepts clearly."

"Explanations were easy to understand even for complex topics."

"The lectures break down the material effectively."

"Content is presented in a logical and easy-to-digest manner."

Helpful for career development in big data.

"Learned practical tools and strategies that I could apply immediately to my work."

"Good for adding Scala and Spark to your resume."

"Relevant skills for big data roles in the industry."

"Helped me prepare for interviews focusing on Spark."

Excellent starting point for beginners in Spark.

"A great introduction for someone new to Spark."

"The course provides a good starting point in both Scala and Spark."

"Helped me get started with big data analysis using these tools."

"I gained a solid foundation from completing this course."

Hands-on coding and projects are highly valuable.

"The hands-on coding and projects are the strongest part of the course for me."

"Practical exercises helped solidify understanding."

"Loved the projects, especially the financial data one."

"The assignments are really useful for applying what's taught."

Covers many topics but lacks deep dives.

"It's a good overview but doesn't go very deep into certain areas."

"More depth would be beneficial for experienced users."

"Provides a good introduction to MLlib but not detailed ML theory."

"Covers a broad range of topics but maybe not enough depth for advanced users."

Setting up the environment can be challenging.

"Had some difficulty getting the environment set up correctly."

"The setup process was a bit frustrating at times."

"Needed external help to resolve installation issues."

"Setup instructions might not work flawlessly for everyone."

Some parts of the course feel outdated.

"Some sections, particularly setup, need updating."

"The technology moves fast, and some parts feel a bit old now."

"Encountered issues with environment setup instructions due to version differences."

"Could use more in-depth coverage on complex topics or optimization techniques given the current landscape."

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 Scala and Spark for Big Data and Machine Learning with these activities:

Review math skills

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Revisit foundational math skills in preparation for working with Spark DataFrames.

Browse courses on Probability

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Review basic probability and statistics concepts.
Practice solving calculus problems.
Review matrices and vectors.

Join a study group

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Collaborate with peers to discuss course concepts and work on projects.

Browse courses on Spark

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Find a study group or create one with classmates.
Meet regularly to discuss course material and work on assignments.

Practice writing Scala code

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Strengthen understanding of Scala syntax and programming concepts.

Browse courses on Scala

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Solve coding challenges on websites like HackerRank or LeetCode.
Create small Scala programs that manipulate data.

Five other activities

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Show all eight activities

Follow online tutorials on Spark

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Expand knowledge and skills by following expert-led tutorials on specific Spark topics.

Browse courses on Spark

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Search for tutorials on Apache Spark's official website.
Follow tutorials on Coursera, edX, or Udemy.

Build a simple Spark application

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Gain practical experience by building a Spark application that analyzes data.

Browse courses on Spark

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Set up a development environment for Scala and Spark.
Create a simple Spark application that reads data from a file.
Use Spark's DataFrame API to manipulate and analyze the data.

Read 'Learning Spark'

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Supplement course material with a comprehensive guide to Spark concepts and techniques.

View Learning Spark: Lightning-Fast Big Data Analysis on Amazon

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Read chapters 1-3 of the book.
Complete the exercises provided in the book.

Build a portfolio of Spark projects

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Showcase skills and knowledge by building a portfolio of projects that demonstrate proficiency in Spark.

Browse courses on Spark

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Identify a problem or dataset that can be analyzed using Spark.
Develop a Spark application to solve the problem or analyze the dataset.
Create a presentation or report that describes the project and its findings.

Contribute to open-source Spark projects

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Gain practical experience and contribute to the Spark community.

Browse courses on Spark

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Find open-source Spark projects on GitHub.
Identify an issue or feature that you can contribute to.
Fork the project, make your changes, and submit a pull request.

Career center

Learners who complete Scala and Spark for Big Data and Machine Learning will develop knowledge and skills that may be useful to these careers:

Big Data Architect

Big Data Architects design and implement big data solutions. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Big Data Architects, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Big Data Architect

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Machine Learning Engineers, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use their skills in mathematics, statistics, and programming to develop and implement data-driven solutions to business problems. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Data Scientists, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design and implement data pipelines. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Data Engineers, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators design and implement database systems. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Database Administrators, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Database Administrator

Software Developer

Software Developers design, develop, and maintain software applications. They use programming languages and software development tools to create software that meets the needs of users. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Software Developers, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Software Developer

Statistician

Statisticians use data to help businesses make better decisions. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Statisticians, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. They use their skills in statistics, programming, and data visualization to identify trends and patterns in data, and to communicate their findings to stakeholders. The Scala and Spark for Big Data and Machine Learning course can be useful for aspiring Data Analysts, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to help businesses make better decisions. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Business Analysts, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data to help businesses make better decisions. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Financial Analysts, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

Market Research Analysts use data to help businesses make better decisions. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Market Research Analysts, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Market Research Analyst

Product Manager

Product Managers use data to help businesses make better decisions. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Product Managers, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Product Manager

Risk Manager

Risk Managers use data to help businesses make better decisions. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course can be helpful for aspiring Risk Managers, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Risk Manager

Teacher

Teachers use data to help students learn. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course may be helpful for aspiring Teachers, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Teacher

Writer

Writers use data to tell stories. They work with large datasets to identify trends and patterns, and to build models that can predict future outcomes. The Scala and Spark for Big Data and Machine Learning course may be helpful for aspiring Writers, as it provides a strong foundation in the skills and technologies used in this field.

See salaries and explore the career path for Writer