Online Course: Principal Component Analysis (PCA) - Theory & Application in R (2024)

What PCA is & Why You Should Master It

Principal Component Analysis (PCA) is a powerful statistical technique used for dimensionality reduction in data sets. By transforming a large set of variables into a smaller one that still contains most of the information from the large set, PCA helps simplifying the complexity in high-dimensional data.

This course is ideal for anyone looking to increase their skills in data analysis, machine learning, or data science. PCA not only enhances data visualization but also improves the efficiency of predictive models by reducing overfitting. Mastering PCA opens up a deeper understanding of your data, enabling you to uncover hidden patterns and make more informed decisions.

While a basic understanding of statistics and R programming is helpful, it is definitely not required for participation in this course. We begin with the basics, ensuring a solid foundation, before progressing to more advanced topics in a structured and comprehensible manner.

What You Get

Learn the PCA dimensionality reduction technique with our interactive course! Enjoy self-paced videos that cover everything from the basics of PCA to its application in R programming. Refine your theoretical understanding and R programming skills through engaging quizzes that cater to all levels of expertise, and connect directly with the Statistics Globe team and your fellow learners in our exclusive chat.

We invite you to join us for weekly public discussions over 5 weeks starting from April 02, 2024. These sessions are designed to complement the video lessons by delving into recent exercises, discussing real-world PCA projects, and addressing any questions you may have in an interactive and supportive environment. These discussions will be conducted in written format within our group chat, providing you the flexibility to engage with them at your most convenient time.

Please note: Our course is structured around a 5-week plan, but the pace at which you progress is entirely in your hands. Whether it takes you several months or just a weekend to complete the course materials is your choice. Flexibility is key, allowing you to learn at a pace that suits your schedule and needs.

Upon completing the course, you’ll retain lifetime access to all videos, learning materials, and resources for revisiting and reinforcing your knowledge at any time. The group chat will also remain open for ongoing discussions, networking, and exchange of ideas with other participants. Additionally, you will receive a certificate verifying your attendance in the course.

Here are some more details on the course structure!

A Peek Inside the Course

Dive into our engaging online course on PCA through easy-to-follow modules, where we balance theory with practical application!

We’re excited to guide you through both the foundational theory of PCA and its implementation in R programming, making complex data sets more manageable. You’ll learn key concepts of PCA, how to apply these techniques to real-world data, and strengthen your machine learning and data analysis skills.

While focused on elevating your proficiency in PCA, this course also deepens your understanding of R, statistics, and data science as a whole, opening doors to new professional opportunities.

Whether you’re new to R programming or looking to enhance your existing skills by understanding PCA deeply, this course is tailored for you.

Here’s the table of contents of the entire course! You will receive video lessons, simple to advanced exercises, as well as additional learning materials on each of those topics.

Meet Your Instructor: Joachim Schork

However, I didn’t want to create endless tutorials that didn’t fulfill the need of its users. Instead, I created straightforward content designed to guide users to solutions for their problems as quickly as possible.

Now, five years later, Statistics Globe has gained:

This is such an incredible success, and I’m so thankful to everybody who participated in this journey! And please don’t get me wrong: I don’t want to brag about these numbers, but I think they can show you that my content works.

With this online course, I’ve combined all of this experience and knowledge into a single resource on how to use the R programming language to apply PCA – one of the most popular methods in statistics and machine learning.

However, the aim of this course extends beyond understanding how to apply this method; it’s also about enriching your data science skill set in general.

Pre-Sell Explained

Currently, the pre-sell for this online course is running. Let me explain!

This is one of the first times that I charge anything for content on Statistics Globe. Almost all other content remains free (see here).

However, the conception and implementation of this course requires my full-time work for several months, and all other Statistics Globe team members are also involved. I hope you understand that it is not possible to run such an online course without compensation.

I’m still a big fan of affordable educational content, though. For this reason, we offer an early bird discount of 50% of the actual price for the first 30 course registrations.

Pre-sell registration is open until February 28, 2024, so make sure to reserve your spot right now!

I will use this pre-sell to determine whether there are enough participants. The course only starts if there are at least 30 pre-sell registrations. Otherwise, your money will be fully refunded right after the pre-sell ends. If the course takes place, the first group discussion and all learning materials will be available on April 02, 2024.

The pre-sell offers several advantages. You will get:

• Early access to all course materials. As soon as I finish a module, it becomes available.
• Early access to the group chat, where you can connect with the Statistics Globe team and other participants.
• The opportunity to help shape the content of the course. You’ll be able to provide feedback once the first course materials are published, and I will incorporate it into the final course.
• A 50% discount if you are among the first 30 participants (as explained above).

Clicking this button will direct you to the checkout page, where you can enroll in the online course. I’d be honored to have you in the course and start learning together. 🙂