Resources by Type

Course's

Discovering Science: Science Writing

By recording experiments and publishing the results of studies and discoveries, scientists can share their important work, and find an engaged audience. You'll discover how to gather accurate information and relevant opinions as well as tips on how to conduct a successful interview.

Comprehensive Study of Premiere Pro CC

In this five-day course, you'll get a thorough overview of the interface, tools, features, and production flow for Premiere Pro CC. The course is an ideal combination of instructor-led demonstration and hands-on practice to introduce you to Adobe Premiere Pro software, a revolutionary 64-bit nonlinear video-editing application.

Unsupervised Learning: Clustering

This course will focus on Clustering algorithms and methods through practical examples and code. More importantly, it will get you up and running quickly with a clear conceptual understanding. The course has code & sample data for you to run and learn from. It also encourages you to explore your own datasets using Clustering algorithms.

Supervised Learning: Linear Regression

What am I going to get from this course? Improved ability to discriminate, differentiate, and conceptualize appropriate methods of supervised machine learning methods Improved general awareness regarding use of these models as L1-/L2-norm regularizers, loss-functions, and more.

Natural Language Processing | Experfy

A hands-on and practical course on making machines understand the way we speak. Instructor holds a Ph.D. in Electrical and Computer Engineering, with a focus on machine learning and data analysis. This course helps students understand how machines understand human language.

Machine Learning for Executives

An introductory course on Supervised, Unsupervised, Reinforcement learning, and machine learning applications. Get introduced to Machine Learning and gain a good basic understanding of its applications.

Introduction to Python | Experfy

This course will show you Why Python is so popular in the Data Science community, How to set up the development environment (which will be Jupyter Notebook) and install the base packages for Python, and more