Scala and Spark for Big Data and Machine Learning from Udemy

Learn how to utilize some of the most valuable tech skills on the market today, Scala and Spark. In this course we will show you how to use Scala and Spark to analyze Big Data.

Scala and Spark are two of the most in demand skills right now, and with this course you can learn them quickly and easily. This course comes packed with content:

Crash Course in Scala Programming
Spark and Big Data Ecosystem Overview
Using Spark's MLlib for Machine Learning
Scale up Spark jobs using Amazon Web Services
Learn how to use Databrick's Big Data Platform
and much more.

This course comes with full projects for you including topics such as analyzing financial data or using machine learning to classify Ecommerce customer behavior. We teach the latest methodologies of Spark 2.0 so you can learn how to use SparkSQL, Spark DataFrames, and Spark's MLlib.

After completing this course you will feel comfortable putting Scala and Spark on your resume.

Thanks and I will see you inside the course.

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!

Let's see various options for Scala Development Environments

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

Let's get you set-up!

Set up Scala and Spark on your computer!

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

Learn about various options for IDEs for Scala and Spark

Get everything Setup on a Mac OS

Install Spark and Scala if you are on a Mac!

Get everything setup on a Linux computer.

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

Learn how to program in Scala

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

Learn how to store multiple Items with Scala!

Part of the Scala Collections section of the course!

Part of the Scala Collections Section

Part of the Scala Collections Part of the Course

Let's some Scala programming techniques!

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

Learn some more advanced use cases for Scala and Spark!

Quick note!

Learn how to use the Latest Spark 2.0 DataFrames!

Quick note!

Learn what Machine Learning is all about!

Part of the Machine Learning with Scala and Spark Section

Learn how to use Regression Algorithms with Scala and Spark!

Learn about Regression Models with Spark!

Quick note

Learn how to use Classification Algorithms!

Learn about Classification with Spark!

Learn how to use Parameter Grids and TrainTestValidation!

Learn about Model Evaluation with Spark

Learn about Model Evaluation with Spark!

Learn how to use Clustering Algorithms with Spark

Learn how to use Clustering Algorithms with Spark!

Note on Kmeans

Learn how to use Principal Component Analysis

Learn how to conduct a Principal Component Analysis with Spark!

Learn how to use the Databricks Platform

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

Just a thank you!

Bonus Lecture:

Good to know

Know what's good

, what to watch for

, 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

Adequate big data course

According to students, this Big Data course is adequate but could be improved. Students indicate that a Pipeline concept could be introduced later in the course. Learners may also wish to consider courses that are more highly rated.

Introduce Pipeline concept later in the course.

"Mixing Indexing, OneHotEncoding, train-test split and Pipeline is not a good idea."

"You should have shown these without Pipeline first and then introduce the concept of Pipeline."

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

Expand to see all activities and additional details

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:

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

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

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

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

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

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

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

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

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

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