The Complete Data Science A to Z Bundle

Interested in the field of Machine Learning? Then this course is for you! It was designed by two professional Data Scientists who will share their knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way. They will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

119,297 positive ratings from 653,721 students enrolled

• Access 284 lectures & 40 hours of content 24/7
• Master Machine Learning on Python & R
• Handle advanced techniques like Dimensionality Reduction
• Have a great intuition of many Machine Learning models
• Build an army of powerful Machine Learning models & know how to combine them to solve any problem

Note: Software NOT included.

Artificial intelligence is growing exponentially. There is no doubt about that. But the further AI advances, the more complex the problems it needs to solve become. The only way to solve such complex problems is with Deep Learning — which is why it’s at the heart of Artificial Intelligence. This course will help understand the broad and complex concept of Deep Learning in a robust, organized structure. You will be working on real-world data sets to help you be confident in all the techniques on an instinctual level.

30,368 positive ratings from 267,692 students enrolled

• Access 180 lectures & 23 hours of content 24/7
• Understand the intuition behind Artificial Neural Networks
• Compare & contrast Supervise and Unsupervised Deep Learning
• Apply Convolutional Neural Networks in practice
• Apply Self-Organizing Maps in practice

Note: Software NOT included.

There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different. In every new tutorial, it builds on what you have already learned and helps you move one extra step forward. After every video, you learn a new valuable concept that you can apply right away. This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises. In summary, this course has been designed for all skill levels, so you can feel comfortable jumping in even if you have no programming or statistical background!

15,307 positive ratings from 111,676 students enrolled

• Access 73 lectures & 11 hours of content 24/7
• Understand the core principles of programming
• Learn about integer, float, logical, sting & other types in Python
• Code in Jupiter Notebooks
• Create a while() loop & a for() loop in Python
• Understand the Law of Large Numbers

Note: Software NOT included.

TensorFlow 2.0 has just been released, introducing many features that simplify the development model and maintenance processes. From an educational point of view, it enhances the user’s understanding by greatly simplifying complex concepts. From an industry point of view, models are much easier to understand, maintain, and develop. This course is structured so that all topics are covered: from neural network modeling and training to production. You’ll start with the basics of TensorFlow 2.0 before moving on to its applications.

185 positive ratings from 1,579 students enrolled

• Access 133 lectures & 13 hours of content 24/7
• Use Tensorflow 2.0 in Data Science
• Implement Artificial & Recurrent Neural Networks in Tensorflow 2.0
• Build a bot that acts as a broker for buying & selling stocks using Reinforcement Learning
• Create data validation & automatic dataset preprocessing

Note: Software NOT included.