Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science & Machine Learning course online (we use the latest version of Python, Tensorflow 2.0 and other libraries)!

We've also just recently fully updated this course to ensure you're learning the latest skills and trends for 2022 and beyond.

Graduates of Zero To Mastery courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook + other top tech companies. This could be you.

By enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors. Most importantly, you will learn data science and machine learning from industry experts that have actual real-world experience having worked for top companies in Silicon Valley, Toronto and Australia.

This course is focused on efficiency so that you never have to waste your time on confusing, out of date or incomplete Machine Learning tutorials anymore. We are confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know).

This comprehensive and project-based course will introduce you to all of the modern skills of a Data Scientist and along the way, you will build many real-world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away!

This course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers are actually looking for.

The curriculum is very hands-on as we walk you from start to finish of becoming a professional Machine Learning and Data Science engineer.

The course covers 2 tracks:

1️⃣ If you already know programming, you can dive right in and skip the section where we teach you Python from scratch.

2️⃣ If you are completely new, we take you from the very beginning and actually teach you Python and how to use it in the real world for our projects.

Don't worry, you will also be going way beyond the basics. Once we make sure you know the basics like Machine Learning 101 and Python, we dive deep into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real-life practice and be ready for the real world.

You will get experience with full-fledged Data Science and Machine Learning projects and access to bonus programming resources and cheatsheets.

The topics you will learn in this course are:

• Data Exploration and Visualizations
• Neural Networks and Deep Learning
• Model Evaluation and Analysis
• Python 3
• Tensorflow 2.0
• Numpy
• Scikit-Learn
• Data Science and Machine Learning Projects and Workflows
• Data Visualization in Python with MatPlotLib and Seaborn
• Transfer Learning
• Image recognition and classification
• Train/Test and cross validation
• Supervised Learning: Classification, Regression and Time Series
• Decision Trees and Random Forests
• Ensemble Learning
• Hyperparameter Tuning
• Using Pandas Data Frames to solve complex tasks
• Use Pandas to handle CSV Files
• Deep Learning / Neural Networks with TensorFlow 2.0 and Keras
• Using Kaggle and entering Machine Learning competitions
• How to present your findings and impress your boss
• How to clean and prepare your data for analysis
• K Nearest Neighbours
• Support Vector Machines
• Regression analysis (Linear Regression/Polynomial Regression)
• How Hadoop, Apache Spark, Kafka, and Apache Flink are used
• Setting up your environment with Conda, MiniConda, and Jupyter Notebooks
• Using GPUs with Google Colab
• and more!

By the end of this course, you will be a complete Data Scientist that can get hired at any company you can imagine. You are going to use everything you learn in this course to build professional real-world projects like Heart Disease Detection, Bulldozer Price Predictor, Dog Breed Image Classifier, and many more. By the end, you will have a stack of projects you have built that you can show off to others.

Here’s the truth: most courses teach you Data Science and that's it. They show you how to get started, but then you don’t know where to go from there or how to build your own projects. Or, they'll show you a lot of code and complex math on the screen but they don't really explain things well enough for you to go off on your own and solve real-life machine learning problems.

Whether you are new to programming, want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no Data Science experience, to someone that can go off, forget about Daniel and Andrei, and build their own Data Science and Machine learning workflows.

Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career.

You probably hear buzzwords like Artificial Neural Network or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean!

Click Start Learning Now to join other ZTM Academy members getting a leg up in the industry and get hired as Data Scientists and Machine Learning Engineers. We guarantee this is better than any bootcamp or online course out there on the topic.

We'll see you inside the course!