DataCamp Track - Probability and Distributions with R

https://www.datacamp.com/tracks/probability-and-distribution-with-r

R | 16 hours | 4 courses

Deepen your knowledge of probability theory and application using R! These courses will provide you with a fun structure to learn a key skill for statisticians, data scientists, and quantitative analysts.

DataCamp Track - Marketing Analytics with R

https://www.datacamp.com/tracks/marketing-analytics-with-r

R | 16 hours | 4 course

If you're familiar with the basics of the R programming languages and are looking to learn common statistical models used in marketing, then this track is for you!

DataCamp Track - Marketing Analytics with Python

https://www.datacamp.com/tracks/marketing-analytics-with-python

Python | 16 hours | 4 courses

Advance your marketing chops with machine learning and Python. If you have foundational Python skills, you can begin this track and learn all about key marketing analytics concepts including customer churn, segmentation, lifetime value, and A/B testing. Our impressive line-up of instructors incorporates examples from various companies to get you real-world data experience. By the end of this track, you’ll gain impactful skills that can be applied directly to solve many marketing problems.

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DataCamp Track - Machine Learning Scientist with R

R | 61 hours | 15 courses

https://www.datacamp.com/tracks/machine-learning-scientist-with-r

Master the essential skills to land a job as a machine learning scientist! You'll augment your R programming skill set with the toolbox to perform supervised and unsupervised learning. You'll learn how to process data for modeling, train your models, visualize your models and assess their performance, and tune their parameters for better performance. In the process, you'll get an introduction to Bayesian statistics, natural language processing, and Spark.

DataCamp Track - Machine Learning Scientist with Python

https://www.datacamp.com/tracks/machine-learning-scientist-with-python

Python | 93 hours | 23 courses

Master the essential skills to land a job as a machine learning scientist! You'll augment your Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning. You'll learn how to process data for features, train your models, assess performance, and tune parameters for better performance. In the process, you'll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.

Franky Font

DataCamp Track - Machine Learning Fundamentals in R

https://www.datacamp.com/tracks/machine-learning-fundamentals

R | 16 hours | 4 courses

Learn the basics of prediction using machine learning. This track covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning). Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.

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DataCamp Track - Machine Learning Fundamentals with Python

Python | 20 hours | 5 courses

https://www.datacamp.com/tracks/machine-learning-fundamentals-with-python

Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! In this track, you’ll learn the fundamental concepts in Machine Learning.