25 Best Pluralsight Courses Online [Bestseller Courses 2024]

Best Pluralsight Courses

Pluralsight provides courses on technology-related topics like IT, Data Science, Information & Cyber Security, etc. So, if you are looking for the Best Pluralsight Courses, this article is for you. In this article, you will find the 25 Best Pluralsight Courses.

Now without further ado, let’s get started-

Best Pluralsight Courses

For your convenience, I have divided the courses into various sections such as Data Science, Web Development, and Java.

So, let’s start with the best Pluralsight courses for data science

Best Pluralsight Courses for Data Science

1. Data Science: Executive Briefing

Level- Beginner

Time to Complete- 27 minutes

In this course, you will gain the ability to transform data into actionable insight. First, you will learn what data science is. Next, you will discover why data science is essential for you and your business.

Finally, you will explore how to get started becoming a data-driven organization. After completing this course, you will have the skills and knowledge of data science needed to transform data into actionable insight.

Interested to Enroll?

If yes, check the course details here- Data Science: Executive Briefing

2. Data Science with R

Level- Beginner

Time to Complete- 2 hours 30 min

In this course, first, you will learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight.

After that, you will learn how to transform and clean your data and create and interpret descriptive statistics, data visualizations, and statistical models.

And at the end of this course, you will learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production.

Interested to Enroll?

If yes, check the course details here- Data Science with R

3. Analyzing Business Requirements for Data Science

Level- Beginner

Time to Complete- 50 min

This course will teach you the strategic, practical, and technical skills to discover if data science can indeed benefit your organization.

First, you will see how to gather and manage the right stakeholders to provide a solid Data Science story to your company that adds REAL business value.

Next, you will discover how to determine and risk assess your data science business and technical requirements. At the end of this course, you will explore how to quantify the business problems and learn what to do when mitigating the risk of a project not yielding business value.

Interested to Enroll?

If yes, check the course details here-Analyzing Business Requirements for Data Science

4. Doing Data Science with Python

Level- Beginner

Time to Complete- 6 hours 24 min

In this course, you will learn everything from extracting data from different sources to exposing your machine learning model as API endpoints that can be consumed in a real-world data solution.

This course will help you to implement the concepts in an industry-standard approach by utilizing Python and related libraries.

Interested to Enroll?

If yes, check the course details here- Doing Data Science with Python

5. Beginning Data Visualization with R

Level- Beginner

Time to Complete– 3 hours

In this course, you will learn how to answer questions about your data by creating data visualizations with R. This course will cover how to visualize One Categorical Variable, One Numeric Variable, Two Categorical Variables, Two Numeric Variables, and Both a Categorical and a Numeric Variable.

Interested to Enroll?

If yes, check the course details here-Beginning Data Visualization with R

6. Advanced Pandas

Level- Intermediate

Time to Complete- 2 hours 30 minutes

In this course, you will learn the skills you need to perform data analysis that is effective and full of useful insights. First, you will learn how to prepare your dataset for a smoother experience.

After that, you will discover how to perform database-style joins, work with higher-dimensional data, analyze time series, and apply window operations. 

At the end of this course, you will explore how to present the data by generating informative and appealing plots.

Interested to Enroll?

If yes, check the course details here- Advanced Pandas

7. Boost Data Science Productivity with PyCharm

Level- Intermediate

Time to Complete- 2 hours 33 minutes

In this course, you will gain the ability to use PyCharm’s most relevant features for Data Science projects.  First, you will learn to understand code faster, by finding usages, creating class diagrams, viewing hierarchies, and accessing documentation.

Then, you will discover how to write better code faster by using PyCharm features, such as code completion, refactoring, and inspections, as well as how to debug code by using breakpoints, stepping, and remote debugging. 

At the end of this course,  you will learn how to explore data by using the scientific mode in PyCharm, Jupyter notebooks, running R script, and SQL queries. 

Interested to Enroll?

If yes, check the course details here- Boost Data Science Productivity with PyCharm

8. Introduction to Data Visualization with Python

Level- Intermediate

Time to Complete- 1 hour 28 min

In this course, you will learn how to use several essential data visualization techniques to answer real-world questions. First, you’ll explore techniques including scatter plots. Then, you’ll discover line charts and time series. In the end, you’ll learn what to do when your data is too big. 

After completing this course, you will have a foundational knowledge of data visualization.

Interested to Enroll?

If yes, check the course details here- Introduction to Data Visualization with Python

9. Designing Machine Learning Solutions on Microsoft Azure

Level- Intermediate

Time to Complete-

In this course, you will how to leverage Azure’s Machine Learning capabilities to greatly increase the chance of success for your data science project. 

First, you will engage in team workflow and how Microsoft’s Team Data Science Process (TDSP) enables best practices across disciplines. Then, you will discover the workflow of the Azure Machine Learning Service and how it can be leveraged on your project.

You will also review how to create a pipeline for your data preparation, model training, and model registration. At the end of this course, you will explore the infrastructure approaches that can be leveraged for machine learning and how those approaches are supported on Azure. 

Interested to Enroll?

If yes, check the course details here- Designing Machine Learning Solutions on Microsoft Azure

10. Create and Monitor Data Pipelines for a Batch Processing Solution

Level- Advanced

Time to Complete- 1 hour 29 min

In this course, you will learn to design and implement data pipelines for a batch processing solution.  First, you’ll explore the available data storage on Azure. Then, you’ll discover and develop batch processing solutions using Azure Data Factory and the available data storage.

At the end of this course, you’ll learn how to automate the data processing process and how to monitor for optimization and efficiency.

Interested to Enroll?

If yes, check the course details here- Create and Monitor Data Pipelines for a Batch Processing Solution

So, these are the 10 Best Pluralsight Courses for Data Science.

Now, let’s see the best Pluralsight courses for web development

Best Pluralsight Courses for Web Development

1. Front End Web Development: Get Started

Level- Beginner

Time to Complete- 3 hours 47 min

In this course, you will learn all the basics of all of the different aspects of front-end web development, and how to hone and keep your skills up to date.

In this course, you will learn all about front end web dev, including:

  • Helpful web dev tools
  • HTML structure
  • CSS rules and concepts
  • Basic JavaScript concepts
  • Basics of HTTP
  • Browser capabilities and tools
  • Basic libraries & tools (jQuery, etc.)
  • Much more

Interested to Enroll?

If yes, check the course details here- Front End Web Development: Get Started

2. Introduction to Web Development

Level- Beginner

Time to Complete- 10 hours 57 min

This course covers all of the tools you’ll need to create websites. In this course, you will learn in-depth discussions about each of “The Big Three” tools used for Website development– HTML, CSS, and JavaScript.

Interested to Enroll?

If yes, check the course details here-Introduction to Web Development

3. Front End Web Development Career Kickstart

Level- Beginner

Time to Complete- 1 hour 47 min

This course covers everything from the history of the web development industry to the landscape of the web and details of a front-end web developer’s daily workflow, then finishes strong with information on how to interview for a position and grow a career after getting in the door.

Interested to Enroll?

If yes, check the course details here- Front End Web Development Career Kickstart

4. Flask: Getting Started

Level- Beginner

Time to Complete- 2 hours 4 min

In this course, you will learn the basics of Flask to get started with Python web development. First, you will learn how to create a Flask view function. Then, you will discover how to create HTML pages. 

At the end of this course, you will explore web forms and handling user input. This course will help you to write code for a Flask web application.

Interested to Enroll?

If yes, check the course details here- Flask: Getting Started

5. Building Your First API with ASP.NET Core 2

Level- Beginner

Time to Complete- 4 hours 7 min

In this course, you will learn how to build an API with ASP.NET Core that connects to a database via Entity Framework Core. This course will cover major topics like getting resources from services and manipulating them, the built-in dependency injection system & logger, working with different environments, configuration files and middleware, and Entity Framework Core related features like working with migrations and seeding the database.

Interested to Enroll?

If yes, check the course details here-Building Your First API with ASP.NET Core 2

6. HTML Fundamentals

Level- Beginner

Time to Complete- 2 hours 19 min

This course will cover the basics of HTML markup. Then, you will explore lists, tables, and text. In the end, you will discover how to add images to your web pages.

At the end of this course, you will have a foundational knowledge of HTML that will help you as you move forward in web development.

Interested to Enroll?

If yes, check the course details here- HTML Fundamentals

7. Progressive Web Apps: Sensor Integrations

Level- Intermediate

Time to Complete- 1 hour 55 min

In this course, you will explore Geo sensors to identify user location, identify local landmarks, and even offer navigation through Google Maps. Then, you will learn how to capture photos, audio, and video and play them on your handset to create a video diary. 

At the end of this course, you will discover how to sense network availability and speed to architect and deliver compelling offline experiences, syncing back online when the network returns. 

Interested to Enroll?

If yes, check the course details here- Progressive Web Apps: Sensor Integrations

8. Django Fundamentals

Level- Intermediate

Time to Complete- 3 hours 42 min

In this course, you will learn how to build a complete web application with Django. First, you will see how to create attractively styled pages using Django templates. Then, you will learn how to add URL mappings for these pages and handle user interaction with forms.

At the end of this course, you will learn how to store and manipulate data. This course will provide a good overview of all the essential parts of Django and how they work together.

Interested to Enroll?

If yes, check the course details here- Django Fundamentals

9. Web Development with Django and AngularJS

Level- Intermediate

Time to Complete- 3 hours 41 min

In this course, you will learn how to get the best of both worlds with web development in Django and AngularJS. First, you will discover how to create a basic web application with Django.

Then, you will explore using AngularJS to add an interactive front-end. In the end, you will learn how to use REST and AJAX to pass data between the front-end JavaScript and back-end Python code.

Interested to Enroll?

If yes, check the course details here-Web Development with Django and AngularJS

10. Advanced Web Application Penetration Testing with Burp Suite

Level- Advanced

Time to Complete- 1 hour 48 min

This course will expand your knowledge of the Burp Suite product to utilize many of the lesser-known features offered in the tool. In this course, you will learn how to exploit security vulnerabilities in your target, how to write your Burp extension, how to perform automation with Burp, and more.

After completing this course, you will know how to perform all of these techniques at a comfortable and efficient level to better perform your tasks.

Interested to Enroll?

If yes, check the course details here- Advanced Web Application Penetration Testing with Burp

So, these are the 10 Best Pluralsight Courses for Web Development.

Now, let’s see the best Java courses on Pluralsight

Best Java Courses on Pluralsight

1. Getting Started with Programming in Java

Level- Beginner

Time to Complete- 4 hours 42 min

In this course, you will learn everything you need to know to get started developing applications using the Java programming language. First, you will learn how to create an application, structure statements, declare variables, use primitive types, and provide application control flow.

Then, you will explore how to work with more sophisticated language elements such as arrays, methods, and parameters. In the end, you will discover how to accept command-line arguments, interact with the user, and work with rich data types such as strings and dates. 

Interested to Enroll?

If yes, check the course details here- Getting Started with Programming in Java

2. Introduction to Testing in Java

Level- Beginner

Time to Complete- 3 hours 53 min

This course covers why you want to write automated tests for your code and how to implement this in Java, covering the fundamentals of how to write simple tests using JUnit and Hamcrest, through Test-Driven Development (TDD).

Interested to Enroll?

If yes, check the course details here- Introduction to Testing in Java

3. Java EE 7 Fundamentals

Level- Beginner

Time to Complete- 5 hours

In this course, you will learn how the Java EE platform has progressed through its history to the modern platform it is today, the foundations of building a web application in Java EE, and how to interoperate Java EE applications with external services.

Then you will learn about architectural best practices when building a Java EE application. 

Interested to Enroll?

If yes, check the course details here-Java EE 7 Fundamentals

4. Java Persistence API 2.2

Level- Intermediate

Time to Complete- 4 hours

In this course, you will learn the principle of object-relational mapping (ORM) and use Java Persistence API (JPA) to map your Java objects into relational databases.

Interested to Enroll?

If yes, check the course details here- Java Persistence API 2.2

5. Advanced Java Concurrent Patterns

Level- Advanced

Time to Complete- 3 hours 27 min

In this course, you will how you can improve the quality of your concurrent code, by using sophisticated concurrent tools that allow for smooth lock acquisition and fault tolerance. 

You will also learn advanced data structures, such as the copy on write arrays, the concurrent blocking queues, the concurrent skip lists, and concurrent hashmaps.

Interested to Enroll?

If yes, check the course details here-Advanced Java Concurrent Patterns

And here the list ends. I hope these 25 Best Pluralsight Courses will help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the 25 Best Pluralsight Courses. If you have any doubts or questions, feel free to ask me in the comment section.

Thank YOU!

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Though of the Day…

It’s what you learn after you know it all that counts.’

John Wooden

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Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.

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