It was a pretty solid course overall. Some parts were a bit slow, but the examples were generally good. Learned a good amount.
Machine Learning and Deep Learning with R: A Practical Guide
Build predictive models and neural networks using R to solve complex data challenges and gain actionable insights.
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About this course
Data is one of the most valuable assets in the modern world, but its true power lies in the ability to predict trends and automate decisions. R provides a robust, specialized ecosystem for turning raw information into sophisticated machine learning models. This course guides you from the fundamental concepts of data manipulation to the implementation of advanced neural networks.
You will gain the skills necessary to clean data, build classification and regression models, and explore the architectures behind modern deep learning. By reading through detailed explanations and studying practical code examples, you will learn how to extract meaningful patterns from complex datasets.
What you'll learn:
- Understand foundational R syntax and data structures essential for data science
- Perform data cleaning and transformation using modern Tidyverse practices
- Implement machine learning algorithms for classification, regression, and clustering
- Explore deep learning architectures including Artificial, Convolutional, and Recurrent Neural Networks
- Apply feature engineering and dimensionality reduction to improve model performance
- Practice modern R workflows for reproducible research and model scalability
The course begins with core terminology and environment setup before progressing through supervised and unsupervised learning techniques. You will conclude by exploring deep learning applications and how to handle high-performance computing requirements for large-scale data projects.
This course is designed for beginners who want to enter the field of data science; no prior experience with machine learning or deep learning is required. Start your journey into predictive modeling and data analysis with R today.
What you'll get
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Certificate of completion
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Short & focused
2h 36m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Machine Learning and Deep Learning with R: A Practical Guide
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
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Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
Machine Learning and Deep Learning with R: A Practical Guide
Page 2 of 2
Performance detail
Coursework summary
Lessons completed
14 / 14
Practice questions
26 / 28
Assignments submitted
4 (avg 4.5 / 5)
Capstone project
Reviewed — 4.6 / 5
Total practice
6.2 hrs
Performance benchmark
Cohort rank
Top 12% of 1,625
Time to completion
11 days (median: 22)
Mastery score
91 / 100
Practice-question score
94%
Skill verification
Verified Skill Path
Reviews (14)
This course exceeded my expectations! The examples were super relevant and helped solidify the concepts. Highly enjoyable.
Fantastic learning experience. The pace was perfect, and the examples really solidified the concepts. Big thumbs up!
Exceeded my expectations! The structure was logical, and the real-world scenarios really helped cement the learning. Great value.
It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.
Pretty good foundation. The explanations were generally clear, and the structure made sense. I'd say it's a worthwhile course.
Fantastic course. The examples used were spot on and really helped solidify the concepts. My understanding has improved dramatically.
Hmm, I'm not sure this is for absolute beginners. It assumes a bit of prior knowledge that wasn't explicitly taught. Some examples were confusing.
This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!
A solid introduction to the topic. The examples provided were generally good, and the course is well-organized. Just wish some parts were explained a bit more thoroughly.
Thoroughly enjoyed this course. The way the information was presented was excellent, and the practical applications were highlighted effectively. Great job!
It's a good course if you have some prior knowledge. For absolute beginners, some concepts might be a bit challenging. The structure is logical, though.
This exceeded my expectations. The lessons flowed logically and the real-world applications were spot on. Great job!
This course exceeded my expectations! The real-world examples were incredibly helpful. I learned so much and feel ready to apply it.
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We don’t store card details — Stripe handles them securely.
Can I get a refund? +
Yes — full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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