This course will teach you to analyse data using machine learning techniques, and prepare you for the Data Analyst Nanodegree. You’ll learn how to use tools such as pre-written algorithms and libraries to answer interesting questions.
Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions.
Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions.
This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
This course is also a part of Udacity’s Data Analyst Nanodegree.
In this course, you’ll learn by doing. Machine learning will come to life by showing you fascinating use cases and tackling interesting real-world problems like self-driving cars. For your final project you’ll mine the email inboxes and financial data of Enron to identify persons of interest in one of the greatest corporate fraud cases in American history.
This course is not for absolute beginners. To succeed, you must be proficient at programming in Python and basic statistics. Also, a familiarity with Data Science will get you familiar with scientific problem-solving. You should take this course only if you are familiar with these topics and wish to move on with a career in ML.
Katie Malone and Sebastian Thrun teach this course for Udacity.
Udacity began as an experiment in online learning, when Stanford instructors Sebastian Thrun and Peter Norvig elected to offer their “Introduction to Artificial Intelligence” course online to anyone, for free. Over 160,000 students in more than 190 countries enrolled. The potential to educate at a global scale was awe-inspiring, and Udacity was founded to pursue a mission to democratize education. It would take several years of intensive iteration and experimentation to clarify our focus on career advancement through mastery of in-demand skills, but today, Udacity proudly offers aspiring learners across the globe the opportunity to participate in—and contribute to—some of the most exciting and innovative fields in the world.
All fields marked with red asterisks are required fields.
At no cost, you enter into a pretty solid 10 week program. Nothing groundbreaking, but it'll help you on your journey.
Ok for a free course.