Free Training

This course includes an overview of the storage requirements of the Google Cloud Platform.

Self-Paced Learning

20 weeks

Beginner

This free course is open to anyone interested in Azure certification. It explains Microsoft's new role-based Azure certification options.

Self-Paced Learning

20 weeks

Beginner

Learn about Azure Security and how it supports security for cloud and on-premises services—a must for current and prospective cybersecurity professionals.

Self-Paced Learning

20 weeks

Beginner

Get an overview of Azure Storage Fundamentals and learn about the different types of data storage models in this course for IT professionals.

Self-Paced Learning

20 weeks

Beginner

About this Course:

In this course students will gain the knowledge and skills needed to implement the basics of python data structures with an intuitive understanding of every library required for machine learning. python is one of the best programming choices for data science, machine learning, and deep learning. Python presents a wide array of choices for the completion of each task. It is highly accessible and one of the best ways to get started with programming because it is simple to use as well as quite easy to learn. It also has a great community with constant updates and upgrades. At the writing of this article, the most recent version of python is 3.8

Course Objectives:

After completing this course, students will be able to:

• General Introduction to the Python Language
• How to display data (histograms, scatter plots, line plots etc.)
• Matrix multiplication, Numpy functions, mathematics
• How to manage & edit dataframes
• Pandas
• Numpy
• Matloplib

Audience:

• Students should have at least one year of hands-on experience with Python programming

Prerequisites:

Before attending this course, students must have knowledge of:

• Introduction to Python for Absolute beginner

Self-Paced Learning

20 weeks

Beginner

This course will comprehensively cover each aspect of running a cloud server.

Self-Paced Learning

20 weeks

Beginner

This course will likely be rather lecture heavy with short implementation exercises. Since users should already be familiar with python & be able to work with datasets.

Self-Paced Learning

20 weeks

Beginner

Machine learning is a subfield of artificial intelligence (AI). Machine learning algorithms instead allow for computers to train on data inputs and use statistical analysis in order to output values that fall within a specific range.

Self-Paced Learning

20 weeks

Beginner

This course focuses on the data science part, how do we find relevant data, what can we use PCR for, etc. After this course, users should be able to understand datasets and determine/fix problems with them.

Self-Paced Learning

20 weeks

Beginner

Natural language processing (NLP) and text mining are the art and science of extracting insights from large amounts of natural language.

Self-Paced Learning

20 weeks

Beginner

This Course will cover basic neural network architectures and learning algorithms, for applications in pattern recognition, image processing, and computer vision.

Self-Paced Learning

20 weeks

Beginner

This Course Covers: Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Generative Adversarial Networks.

Self-Paced Learning

20 weeks

Beginner