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Machine Learning courses

Machine learning courses cover algorithms and concepts for enabling computers to learn from data and make decisions without explicit programming. Build your skills in NLP, deep learning, MLOps and more.

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Recommended for Machine Learning beginners

Build your Machine Learning skills with interactive courses, curated by real-world experts

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Understanding Machine Learning

De bazăNivel de calificare
4.8+
8.930 reviews
2 hours
An introduction to machine learning with no coding involved.

track

Fundamentele învățării automate în Python

4.5+
6 reviews
16 hours
Învață arta Machine Learning și pleacă de aici ca un expert în predicție, recunoașterea tiparelor și bazele Deep Learning și Reinforcement Learning.

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Răsfoiți cursurile și traseele Machine Learning

course

Machine Learning with caret in R

IntermediarNivel de calificare
4.8+
39 reviews
4 hours
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

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Ensemble Methods in Python

AvansatNivel de calificare
4.8+
376 reviews
4 hours
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

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Supervised Learning in R: Regression

IntermediarNivel de calificare
4.6+
95 reviews
4 hours
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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Introduction to TensorFlow in Python

IntermediarNivel de calificare
4.8+
50 reviews
4 hours
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

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ARIMA Models in Python

AvansatNivel de calificare
4.8+
374 reviews
4 hours
Learn about ARIMA models in Python and become an expert in time series analysis.

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Cluster Analysis in R

IntermediarNivel de calificare
4.8+
66 reviews
4 hours
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

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Monitoring Machine Learning Concepts

IntermediarNivel de calificare
4.7+
426 reviews
2 hours
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

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Fully Automated MLOps

IntermediarNivel de calificare
4.8+
310 reviews
4 hours
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

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Monitoring Machine Learning in Python

AvansatNivel de calificare
4.7+
323 reviews
3 hours
This course covers everything you need to know to build a basic machine learning monitoring system in Python

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Introduction to Data Versioning with DVC

IntermediarNivel de calificare
4.7+
354 reviews
3 hours
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

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Modeling with tidymodels in R

IntermediarNivel de calificare
4.8+
164 reviews
4 hours
Learn to streamline your machine learning workflows with tidymodels.

course

MLOps for Business

De bazăNivel de calificare
4.8+
136 reviews
3 hours
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

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Building Chatbots in Python

IntermediarNivel de calificare
4.7+
141 reviews
4 hours
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

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Sentiment Analysis in R

IntermediarNivel de calificare
4.7+
94 reviews
4 hours
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

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Machine Learning for Marketing in Python

IntermediarNivel de calificare
4.8+
159 reviews
4 hours
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

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Hyperparameter Tuning in R

AvansatNivel de calificare
4.8+
46 reviews
4 hours
Learn how to tune your models hyperparameters to get the best predictive results.

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Fraud Detection in R

IntermediarNivel de calificare
4.7+
35 reviews
4 hours
Learn to detect fraud with analytics in R.

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Machine Learning in the Tidyverse

IntermediarNivel de calificare
4.8+
101 reviews
5 hours
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

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Dimensionality Reduction in R

De bazăNivel de calificare
4.7+
90 reviews
4 hours
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Resurse conexe pe Machine Learning

Artificial Intelligence Vector Image

blog

How to Become a Machine Learning Engineer in 2026

Learn how to become a machine learning engineer and discover why it is one of the most lucrative and dynamic career paths in the data world.
Kurtis Pykes 's photo

Kurtis Pykes

15 min.

blog

33 Machine Learning Projects for All Levels in 2026

Machine learning projects for beginners, final year students, and professionals. The list consists of guided projects, tutorials, and example source code.
Abid Ali Awan's photo

Abid Ali Awan

15 min.

blog

Top 12 Machine Learning Engineer Skills To Start Your Career

Master these skills to become a job-ready machine learning engineer in 2024.
Natassha Selvaraj's photo

Natassha Selvaraj

11 min.


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Frequently asked questions

Is machine learning easy to learn?

DataCamp's beginner machine learning courses are a lot of hands-on fun, and they provide an excellent foundation for machine learning to advance your career or business. Within weeks, you'll be able to create models and generate predictions and insights. You'll also learn foundational knowledge of Python and R and the fundamentals of artificial intelligence.

After that, the learning curve gets a bit steeper. Machine learning careers require a deeper understanding of statistics, math, and software engineering, all of which can be mastered at DataCamp.

What is machine learning used for?

In a nutshell, machine learning is a type of artificial intelligence whose algorithms, as they acquire data, produce analytical models and make predictions with little to no human intervention.

It's difficult to find an industry that doesn't use machine learning. For example, marketers use machine learning to forecast returns on investments in marketing campaigns. Likewise, purchasing departments use machine learning to predict needed inventory.

Businesses of all kinds use machine learning to predict customer behavior, map supply chains, and forecast revenues. Machine learning is used to predict health outcomes and to improve patient satisfaction. Machine learning helps scientists model climate change scenarios, including possible solutions.

More specifically, machine learning is used in smart devices, search engines, and streaming services (when Netflix suggests a show or movie based on your viewing history, that's machine learning).

What jobs can you get with machine learning skills?

Machine learning skills are valuable in programming, data science, and other computer engineering disciplines. In addition, machine learning is a must for anyone wanting to work in robotics!

Not all jobs that require machine learning are in tech though. For example, linguists use machine learning to track ever-changing languages and dialects. In addition, business departments, such as marketing, accounting, logistics, and purchasing, to name a few, increasingly need machine learning experts to help them make informed business decisions. Knowing machine learning can give you a step up in nearly any position, as modeling and predicting are critical business needs.

Are machine learning skills in demand?

Yes, machine learning skills are in high demand. According to a report by the World Economic Forum, demand for AI and ML specialists is expected to grow by 40% between 2023 and 2027.

How much math do I need to take a machine learning course?

If you're looking to develop a high-level understanding of machine learning concepts, you don't need much math. If you want to dive deeper and make machine learning your career (as opposed to an added value to your existing career), a foundation in statistics and algebra is helpful. If you don't have a mathematical background, that's okay. We'll teach you everything you need, and our instructors are a lot less scary than your high school calculus teacher.

Do I need to download machine learning software to learn on DataCamp?

You do not need to download anything while learning with DataCamp. All the tools we use are web-based.

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