Eleven Udemy Courses to Broaden Your Skills Beyond R
Did you know Udemy offers many more courses than “just” their 63 R courses? Here are some ideas for those who seek to broaden their data science skills beyond R. And please note: Udemy courses are on sale again for just $10 per course until this Friday, through the links in this post or our R Course Finder directory! (Disclaimer: If you sign up for a course using these links, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.)
The debate which language is “best” for data science will perhaps never come to an end. The debate seems to focus on Python vs R in particular, so Python might be logical choice if you’d like to broaden your skill set across multiple languages. Some popular Udemy courses to consider:
- Python A-Z™: Python For Data Science With Real Exercises! (offered by the same instructor as the popular R-equivalent)
- Data Science and Machine Learning with Python – Hands On!
- Complete Python Bootcamp: Go from zero to hero in Python
Perhaps you’ve never heard of Tableau (see demo above) if you’re a free software enthusiast. It’s a (paid) data visualization tool with a drag-and-drop user interface that seems to work quite intuitively. You can give it a try during a 14-day free trial period while taking one of the popular Udemy courses:
- Tableau 10 A-Z: Hands-On Tableau Training For Data Science!
- Tableau 10 Advanced Training: Master Tableau in Data Science
- Master Course in Tableau 10 for Business – REAL Life Data
AI / Machine Learning
You could also consider specialty courses in artificial intelligence / machine learning. For example, TensorFlow is an open source software library for machine learning developed by Google. You can learn about it in the course Data Science: Practical Deep Learning in Theano + TensorFlow, together with Theano, a Python library for numerical computation. If you’d like to learn specifically about deep learning, a fairly new area within machine learning, consider Data Science: Deep Learning in Python and Deep Learning A-Z™: Hands-On Artificial Neural Networks. Alternatively, consider random forests and boosting in: Ensemble Machine Learning in Python: Random Forest, AdaBoost. Finally, reinforcement learning is an exciting area within AI, and offered in the course Artificial Intelligence: Reinforcement Learning in Python.