Applied Plotting, Charting & Data Representation in Python

Course Link: https://www.coursera.org/learn/python-plotting

Applied Plotting, Charting & Data Representation in Python
This course focuses on using Python to do visualizations and to represent data in a meaningful and reusable way. We will learn about the structure of packages, the “raw data” section of a table, and how to use the functions in pandas to work with the data. We will also learn about displaying data, how to graph and plot data, and how to visualize data. We’ll also learn about data visualization and how to make data-visualizations interactive. You’ll also learn the basics of using Python in the R programming environment. This course is the entry point into the Python programming language for many students who are interested in Python programming. It will also be a great introduction to the full power of the Python programming language for students who want to go deeper into Python programming.Module 1: Introduction to Data Visualization in Python
Module 2: Working with Data in Python
Module 3: Working with Data in R
Module 4: Working with Data in Python as a Service
Applied Image Understanding and Preproduction
This course is for those who are passionate about understanding and presenting information about visual components of image data. This is the third course in the series “Applied Image Understanding and Preproduction”. The goal of this course is to provide those who are passionate about understanding and presenting image data with information that enables decision making as to the quality and form of the image that will best display the information.Understanding Components of Image Data
Tools for Understanding Components of Image Data
Preproduction Guidelines for Understanding Components of Image Data
Data Validation in Action: A Primer for Those Who Work in the Field
Architecture: From Concept to Finished Product
Architecture is the art of moving a piece of software or hardware from its early days in a developer/design phase to a final state where it can be used and improved upon. This is the art of breaking down the path that software and hardware take to reach their final form, and it is the focus of the specialization.

In this course, we will examine the art of breaking down the path that software and hardware take to reach their final state, and we will examine the art of breaking down the path that design takes to reach its final form. We will consider the human-computer interaction relationship, and the design of communication channels and systems, and we will consider the art of using abstraction, generative design, and procedural generation.

You will be encouraged to make your own design choices about how to sequence the key steps of a complex software or hardware process, and you will learn how to make those choices in a context that includes the artifacts, dependencies, and iterative decisions that define the design as a whole.

Each week we will focus on one aspect of architecture, and we will look at how the art

Course Link: https://www.coursera.org/learn/python-plotting

Capstone: Retrieving, Processing, and Visualizing Data with Python

Course Link: https://www.coursera.org/learn/python-data-visualization

Capstone: Retrieving, Processing, and Visualizing Data with Python
In this course you will create a data visualizations dashboard that will enable you to see the data in the wild. You will learn how to retrieve data from a variety of sources, including RESTful APIs and web services, and how to use pandas to run queries and fetch data from services. You will also learn how to use the command line to perform your own visualization programming and how to incorporate image data as a service (ASA) in your ASA applications.

Upon completing this capstone, you will be able to:
1. Create a visualizations dashboard using the command line
2. Read data from a variety of sources including RESTful APIs and web services
3. Visualize data using the command line
4. Search for and load images as a service (ASA)
5. Use the command line to perform your own visualization programming and how to incorporate image data as a service (ASA) in your ASA applications
6. Load images as a service (ASA)
7. Read data from a variety of sources including RESTful APIs and web services
8. Visualize data using the command line
9. Search for and load images as a service (ASA)
10. Visualize data using the command line
11. Read data from a variety of sources including RESTful APIs and web services
12. Visualize data using the command line
13. Read data from a variety of sources including RESTful APIs and web services
14. Visualize data using the command line
15. Read data from a variety of sources including RESTful APIs and web services
16. Visualize data using the command line

Your journey in this course will be as fun and engaging as possible. We’ve designed a curriculum focused on hands-on, coding-intensive projects, including assignments that offer you opportunities to practice and expand upon the skills you’ve learned in these lectures.

The course is primarily completed with the help of the course team: eight full-time students and five part-time students. We’ve designed the course so that you can continue through the whole course program at a time, and also have a great time while doing it!

In this course you will:
1. Get to know a variety of cloud technologies, storage options, and APIs
2. Learn core technologies and topics of special interest
3. Get interactive with the project community
4. Use GitHub for cloud storage and remote access
5. Get involved in the project team’s daily activities

This course is your opportunity to join in on the fun and learn with a friend!The whole course process:
1. Identify a project need
2. Research project
3. Test drive project
4. Connect project to cloud storage options and APIs
5. Go in-depth about a project and its services
6. Link projects to other projects and services

Course Link: https://www.coursera.org/learn/python-data-visualization

Creating Dashboards and Storytelling with Tableau

Course Link: https://www.coursera.org/learn/dataviz-dashboards

Creating Dashboards and Storytelling with Tableau Project
In this course, you will start exploring the creative process of creating dashboards and telling a story. You will learn about the elements, roles, and responsibilities of a graphic designer in your data visualization designs. You will be challenged to think beyond the visual design and into the storytelling aspect of data visualization. You will also learn about the different components of a data visualization and how they fit together. You’ll also learn about the different elements and types of stories you can tell with them. In the end, you will have a wide-ranging and practical vocabulary to help you tell the story of your data visualization designs.Week 1
Week 2
Week 3
Week 4
Creating Your Online Business
Marketing is a skill, and practice is the key. Learn how to spot a marketing opportunity, then craft a pitch and marketing campaign to capitalize on it. Learn how to market with precision, build your online presence, and position your business in the digital marketplace.

Digital Business Enterprises (DK) is a registered trademark of the KKR Group, LLC in the US and other countries.Digital strategy: How to market with precision (Part 1)
Digital strategy: How to market with precision (Part 2)
Marketers in a digital world: How to market with precision (Part 1)
Convolutional Neural Networks
Deep convolutional neural networks (DNNs) have been the engines of image understanding and classification for over a decade. Despite their importance, very little is known about how they perform, what problems they cause, and how to optimize their performance. This course will introduce you to the basic concepts of convolutional neural networks, and how they can help you solve other problems. In parallel, you will be introduced to a variety of techniques to optimize existing image processing algorithms, and techniques to get even better performance from DNNs.Welcome & Setting up an Equation
Optimizing Convolutional Neural Networks
Parallel operations on Convolutional Neural Networks
Deep convolutional neural networks
Customer Value in Pricing Strategy
This course examines the dynamic characteristics of customers, and how companies can price their products in a way that maximizes the return on investment (ROI). We will focus on three critical topics in pricing strategy: customer-focused pricing, product-specific pricing, and revenue-focused pricing. We will learn how to price products in a way that integrates product attributes, network effects, and the pricing of networks of similar products. We will also look at the most popular price-matching strategies and pricing models, and apply them to various types of products. We will explore the dynamic pricing environment, and will discuss the best pricing models for different types of products. We will also look at model-

Course Link: https://www.coursera.org/learn/dataviz-dashboards

Data-driven Decision Making

Course Link: https://www.coursera.org/learn/decision-making

Data-driven Decision Making
The course covers decision making processes, the variables that influence decisions, and the decision-maker’s role in allocating resources. We will learn how and when decisions are made, and focus on the variables that influence those decisions. We will also discuss how decision making is facilitated. We’ll cover topics such as allocation decisions, task allocation, and the allocation of resources. Finally, we will look at the decision-making process in stages. We’ll also cover topics such as stakeholder involvement and negotiation. We’ll cover the topics that you’ll need to know about to be a productive decision maker.

Learning Objectives
By the end of the course, you will be able to:
– Describe the variables that influence the course of action
– Use decision making instruments to manage resources and change the course of action
– Assess and allocate resources
– Change the course of action through decision making
– Use tools and techniques to manage resource use and change the course of action

Pre-requisites

Learners will need prior success in the course on the following exams:
– The Business Decision-Making Capstone
– The Customer Value-Driven Architect Capstone
– The Supply Chain Foundations Foundational Capstone
– The Product Development Foundational Capstone
– The Quality Assurance Organization Foundational Capstone
– The Product Management Foundational Capstone

Suggested Reading

To summarize, learners will need to know the following:

1. The business decision-making process
2. The use of decision making models and frameworks.
3. The use of metrics to measure decision making processes and processes.
4. The use of design thinking in decision making.
5. The use of stakeholder involvement in decision making.
6. The use of negotiation in decision making.
7. The use of compromise in decision making.

Presentation Skills
The presentation skills necessary for the project will be assessed and demonstrated on the slides. Two presentation skills are recognized: presenting information effectively, and presenting a clear vision. Both skills are graded and graded again, and a final presentation is graded.Evaluation Report and Resources
Challenges and Opportunities
Measurement
Final Presentation
Data Visualization with Tableau Project
In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will first create a project proposal, outlining the aim of the project, design the project, and input data sources. You will then get data from the project, make dashboards and run dashboards to gather data and render views. You will then get data visualization needs, including data coverage, date and time data, line art and charting, and data filtering and filtering

Course Link: https://www.coursera.org/learn/decision-making

Demand Analytics

Course Link: https://www.coursera.org/learn/demand-analytics

Demand Analytics in Marketing Analytics
In the demand-driven marketing environment, there is a tremendous pressure on marketers to deliver high-demand orders in a timely fashion. In addition, demand dynamics have made it difficult for many marketers to meet their demand. In this course you will learn the key tools that you need to interpret the demand for products or services in the market place and use those tools to drive business performance. You will learn the techniques to create predictive models and the techniques to create models that can help you manage customer expectations. Along the way, you will practice a variety of techniques to analyze and visualize the demand for products or services in various industries. You will also learn tools to interpret the demand for products or services in the market place and use those tools to drive business performance. You will learn the techniques to create predictive models and the techniques to create models that can help you manage customer expectations. Along the way, you will practice a variety of techniques to analyze and visualize the demand for products or services in various industries.

This course builds on the previous specialization in Marketing Analytics, Demand Optimization and Analytics on Demand. In this specialization, you will focus on a selection of demand-driven issues in marketing. You will learn the techniques to analyze and visualize the demand for products or services in a wide variety of industries, including:

• Analyze the demand for a product or service by focusing on several dimensions (price, features, functionality, market share, etc.) and analyzing different product categories.
• Analyze the demand for a product or service by focusing on several dimensions (price, features, functionality, market share, etc.) and analyzing different product categories.
• Find the best product categories for a given product or service by analyzing the demand for that product and product category.
• Understand the different product classes and their associated requirements in order to create demand-driven models.
• Understand the Logical & Quantitative Model and find the best product categories for a given product or service.
• Understand the Logical & Quantitative Model and find the best product categories for a given product or service.
• Analyze the market position of a product or service by combining demand-driven modeling with traditional demand analysis.
• Create models of the future of the product or service.
• Usefully combine different demand-driven models to create models of the future of a product or service.
• Usefully combine different demand-driven models to create models of the future of a product or service.
• Explain model building techniques to maximize the predictive power of a model.
• Conduct a successful business model analysis.
• Create models to predict, capture or manage product or service demand.
• Understand the trade-off potential of a given demand model.
• Explain the trade-off between predictability and performance.
• Demonstrate

Course Link: https://www.coursera.org/learn/demand-analytics

Digital Analytics for Marketing Professionals: Marketing Analytics in Practice

Course Link: https://www.coursera.org/learn/digital-analytics

Digital Analytics for Marketing Professionals: Marketing Analytics in Practice
In this course, we’ll take a closer look at the marketing analytics aspect of marketing strategy. We’ll focus on the marketing mix, the marketing mixx, and how marketers use data to make better decisions. We’ll also focus on the marketing mixx in depth, including how marketers decide how much to spend to reach their target audience. Finally, we’ll take a look at some of the key tools used to create the marketing mix, including how marketers create dashboards, which are the heart of marketing systems, and how they use fancy statistical analysis tools to make better decisions. The aim of this course is to equip you with the knowledge and skills to make better decisions as part of a Marketing Analytics team.Digital Analytics for Marketing Professionals
The Marketing Mix
Matter and Data
Tools of the Trade
Digital Signal Processing
Digital Signal Processing (DSP) is the study of digital signals from an analog converter (AC) to a digital processor (CPU) or digital video recorder (DVR) or camera, and the application of DSP to various applications, both real and digital-video, recording, editing, and playback. This specialization requires a basic knowledge of computer architecture, a working knowledge of basic digital signal processing, and some familiarity with software analog processing (DSP).

In this course, you will learn about phase-locked digital (digital) switching, and how to control it using the processor microprocessor that we will use in the course. This is the first step to getting a working understanding of digital signal processing within a high-level, and will be covered in the Capstone project. You will also learn about digital video out (DVI) and DSD (digital video degradation), and how this relates to phase-locked digital (DSP) digital converters, and the digital video processor that we will use in the Capstone project.

Upon completing this course, you will be able to:
● Understand how phase-locked digital (DSP) is implemented in the processor microprocessor.
● Know the components of a digital signal processor (DSP).
● Know the C-states and D-states of a digital processor.
● Program a DSP using the Arduino or Raspberry Pi.
● Optimize the performance of a DSP by using a digital output and D-state converter like the DSP-3 or DSP-R, and a digital camera with a lens.
● Manage and organize all of the files that are processed by the DSP-3 or DSP-R.
Please note that this is not a software course, and your computer will require the ability to read and write to a microSD card, where all of your saved data is kept. You will need an USB micro SD Card Reader (not micro

Course Link: https://www.coursera.org/learn/digital-analytics

Essential Design Principles for Tableau

Course Link: https://www.coursera.org/learn/dataviz-design

Essential Design Principles for Tableau
In this course, you will learn what an essential design principle is and how to apply them in your project. We’ll cover topics such as visual form, content, and interaction. We’ll also cover how to translate between a predefined design language (such as Sketch) and a more customizable one (such as InDesign). Finally, you’ll learn the name of the people who make a rich and beautiful data-driven world.

You’ll also learn a valuable design philosophy: “A good design principle” is about as important as a good programmer. You’ll learn about it from the people who make that good programming.

Course Learning Outcomes
1) Learn the name of the people who make a rich and beautiful data-driven world.
2) Learn the name and job titles of the people who make a rich and beautiful data-driven world.
3) Learn the names and job titles of the people who make a rich and beautiful data-driven world.
4) Learn the names and job titles of the people who make a rich and beautiful data-driven world.
5) Learn the name and job titles of the people who make a rich and beautiful data-driven world.Essential Design Principles for Tableau
Aesthetic Form: Sketch
Content: InDesign
Interactivity: JavaScript and Styling: CSS, JavaScript, and JavaScript Flattening
Essentials of Robotics
This course is designed to help you grasp the foundations of robotics, from the fundamentals of motion and forces to how to link these with the program. We’ll cover topics such as robots that use computers to do their work, the principles of linear algebra, and the basic concepts of robotics. We’ll also cover Linked Listening, and how to design a system that will use these skills to communicate with the human-like robots in the real world.

Throughout the course, you’ll practice and hone your skills in robotics by interacting with the robots in the lab and in the real world with real humans. By the end of the course, you’ll understand how to use the fundamental concepts and skills that you’ve learned in robotics, and how to apply them in a real-world application.

After you’ve mastered the course, you’ll be able to:
1) Design and use robots to do their work
2) Read and write linear algebraic and differential equations
3) Sort, filter, and manipulate data
4) Solve problems of different types
5) Use basic programming constructs in Python
6) Write and execute simple programs in Python
7) Understand human language concepts

The course is designed to help you grasp the foundations of robotics, from the fundamentals of motion and forces to how to link these with the

Course Link: https://www.coursera.org/learn/dataviz-design

Exploratory Data Analysis with MATLAB

Course Link: https://www.coursera.org/learn/exploratory-data-analysis-matlab

Exploratory Data Analysis with MATLAB
For students new to data analysis: Exploratory Data Analysis with MATLAB is an introductory course focused on data visualization and analysis and how to apply engineering principles and techniques to solve challenging engineering problem solving. The course provides the foundation for an understanding of data analysis and exploratory visualization problems you may encounter in your career. It will introduce the tools you need to work with data in a realistic MATLAB environment, including working with one or more of the following: (i) Multivariate calculus, (ii) vector calculus, (iii) physics and fluid mechanics, and (iv) several others. The course is useful for students who have previous experience with MATLAB, but who have no background in math or science. It is also useful for students who have experience with MATLAB, but who do not have any particular math or science background. The course is useful for students who want to make data-intensive problem solving fun and accessible.Matrices, Euler’s Theorem, and Riemann zeros
Real Analysis
Parallel Methods
Exploring the Library: Introduction to Visualization
This course will introduce you to the basics of 3D data visualization and how to utilize the library of computational tools to create realistic and effective visualizations. You will learn high-level visualization and data manipulation paradigms in Mathematica and begin to explore how these concepts are implemented in the IC3D library. We will also cover fundamental concepts such as node-link-frame (LOL) and the concepts and applications of path-based and node-link-data (LID). These topics will help you understand data visualization and data-driven analysis and how these concepts can be implemented in the IC3D library.

You will need to purchase the following components to complete this course:
1) A computer with strong enough Internet connectivity to play videos and hear sound (you should have a strong desktop computer with good enough wireless connectivity to run applications like webpages). We will use an NVIDIA Tegra 3 processor (e.g. an i3, sony ee) for this class. You will need at least 8GB of RAM. You should have a strong wireless network connection to run applications like webpages. You should have a notebook with good hard drive space for this lab. You should have a notebook with good airflow for this lab. You should understand the concepts of fluid mechanics, node-link-frame (LOL) and path-based and node-link-data (LID). You should have a good understanding and familiarity with the programming concepts, especially about how to use functions, variables, logic, and conditionals. You should have a good understanding of the fundamentals of network communication, like TCP/UDP sockets, and basic machine architecture (CPU, motherboard, operating system, operating system, and graphics card). You should have a good knowledge of MATLAB

Course Link: https://www.coursera.org/learn/exploratory-data-analysis-matlab

Getting Started with Google Sheets

Course Link: https://www.coursera.org/learn/getting-started-with-google-sheets

Getting Started with Google Sheets
Have you ever used Google Sheets to create and manage data-intensive reports or spreadsheets? You may be familiar with the basic syntax and functionality. In this introductory course, we’ll cover the core components of using Google Sheets to create documents and spreadsheets. You’ll learn about creating a document from a grid view, working with multiple rows and columns, using formulas and loops to create more control, and much, much more. You’ll also learn about creating and managing spreadsheets using the Google Sheets API and using Excel functions. You’ll complete a project to gain a firm understanding of the API and get to know the internals of the Sheets object model.Module 1: Getting Started with Google Sheets
Module 2: Initial Setup with Google Sheets
Module 3: Working with Multiple Rows and Columns
Module 4: Managing Spreadsheets
Graphics and Multimedia Applications
This is the first course in the specialization about working with graphics and multimedia. In this class you will learn about the fundamental concepts of graphics and multimedia. You’ll learn about the creation of multimedia applications in XAML. You will also learn why they are so important. You will start your route to gain a basic understanding of the creation of multimedia applications in XAML.

After completing this course you will be able to:
1. Create multimedia applications by creating a grid of media and linking various elements within the application to specific media.
2. Link multimedia elements to specific windows using media links.
3. Manipulate media using XAML.
4. Use VLOOKUP to locate and manipulate content within your application.
5. Use media links to access content in various forms.
6. Use the Media Source dialog box to copy and paste elements from one component to another.
7. Link different components of a simple XAML application.

This course uses the XAML Foundation to create its applications. The XAML Foundation is a set of XAML components that make the visualizations and animations in this course possible. Along with the component sets, you will also find a large number of XAML files to work with. You will learn how to develop and run XAML files in a simple and effective way.

The course uses HTML, XAML, and XAML files to represent and store multimedia components. You will need a basic knowledge of programming as well as XAML. You will need to install Visual Studio 2013 or later.

The course does not use any additional software than what is shown in the resources. You will need a computer with high speed internet connection, but the class does not require any other software.Introduction to Multimedia Applications
Multimedia Elements
HTML, XAML, and XAML Files
Linking Components Together
<| Course Link: https://www.coursera.org/learn/getting-started-with-google-sheets

Interprofessional Healthcare Informatics

Course Link: https://www.coursera.org/learn/health-informatics-professional

Interprofessional Healthcare Informatics Leadership
Interprofessional Health Informatics Leadership has been designed to meet the leadership and management needs of the people who lead in health informatics. The course offers you an unbiased, up-to-date overview of the profession of informatics in the public at large, without the politics, drawdowns and recutings. We provide a broad overview of the profession, with a specific emphasis on the roles of leadership and management in health informatics.

Upon successful completion of this course, you will be able to:
• Describe the informatics leadership role in health informatics
• Explain the differences between informatics and health management in health informatics
• Describe the objectives and mandate of an informatics team
• Identify the roles of informatics in health informatics

This course is part of the 5-course series “Health Informatics Informatics Leadership and Management”. Interested in earning 3 university points in this series? If so check out “How you can earn 3 university points in this series” reading in the first module of this course for additional information.

We want to note that the aim of this course is to get you up-to-date on the informatics field. As a learner in this course series you will probably come across some terminology and stuff that you are not used to. This course series is designed to help you get used to these new terms and things that you normally don’t know. Getting you up-to-date on the informatics field will require more reading material than the first course, so we thought we would make this a standalone course series. The readings in this course series will be mainly from the lectures of previous courses, and from personal experience doing research on informatics. We’ve left the political and managerial aspects of the profession to the learners, so you can take this course if you want.

We hope you enjoy the course and invite you to share your thoughts on Twitter using the hashtag #ITHealthInformaticsMOOC. What is your informatics career? Let us know in the comments section below.

This MOOC was co-created by the University of Geneva and Erasmus University of Rotterdam. It is co-funded by the Patrick and Lina Drahi Foundation and the Swiss Agency for Development and Cooperation (SDC).

You can follow the contributors of this course series on Twitter using the hashtag #ITHealthInformaticsMOOCIntroduction to informatics
Health informatics: principles and methods
Health informatics: roles and responsibilities
Practical informatics: the informatics engineer
Intercultural Communication and Conflict Resolution
Intercultural Communication and Conflict Resolution is the field of study of globalization studies and of comparative diplomacy. It studies interpersonal relationships between foreigners and natives and aims to shed light on common challenges and

Course Link: https://www.coursera.org/learn/health-informatics-professional