Introduction to Typography

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Introduction to Typography
Typography is the field of visual and visual information systems that emphasizes the interconnection of form and function: design principles, information architecture, and the use of typography to support these goals.

Typography is in the eye of the beholder; it will always be a work in progress. You will learn by doing.

This course will take you from the basics of typography (the types of information and their sources) to the field of typographic information systems and they apply to a wide variety of applications.Module 1: Understanding Types
Module 2: The Keyboard and the Mind
Module 3: The Display
Module 4: The Postscript
Introduction to Data Analytics
This course is designed to give you a basic understanding of data analytics and the role of data in decision making. We will cover topics such as how data is created and how analysis is carried out, data compression and decoding, and how data is used for and how business processes are managed.

We will also cover topics such as analysis and visualization which will cover different types of data and different types of charts and graphs.

We will use data from a variety of sources, including business processes, business processes used in production, business processes used in analytics, and data from various disciplines including statistics, modeling, and data visualization.

By the end of this course you should be able to explain the role of data in business decision making and enable your audience to understand the importance of data in everyday life.Data Introduction
Analytic Tools
Converting Data to Meaningful Presentations
Introduction to Deep Learning
This course will give you a deep understanding of deep learning and its applications. We will cover topics such as how deep learning is developed, the different deep learning algorithms and frameworks, and how deep learning applications are created. We will also introduce some of the most popular deep learning frameworks, such as Tensor Flow, and demonstrate how they fit into the broader data science framework. We will teach you how to tune these neural networks to perform a task at a high accuracy, and how to apply specific deep learning algorithms to a wide variety of problems. This course will enable you to immediately use deep learning in your career.Module 1: Deep Learning and Machine Learning
Module 2: Deep Learning Processes
Module 3: Neural Networks
Module 4: Deep Learning Applications
Introduction to Data Visualization
This course will give you a basic understanding of data visualization and how to apply different visualization techniques for a variety of data types. We will cover topics such as data clustering, bar charts, text rendering, and working with data across time. We will also show you how to apply different programming techniques for visualization, including a variety of interpreted languages, code generation

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