Geographic Information Systems

GIS I: Introduction to GIS The ability to analyze and manipulate spatial data is critical across many industries, including urban planning, healthcare, agriculture, mining, trade, environmental science, and military intelligence. The demand for skilled GIS analysts is projected to grow rapidly in the coming years, as this specialized area of data analysis is leveraged in an expanding number of fields. In this introductory course, you will learn the fundamentals of geographic information systems (GIS). Upon completion of the course, you will be able to display, analyze, and store spatial...

GIS II: Spatial Analysis Delve deeper into the world of Geographic Information Systems as you embark on an exploration of Spatial Data Analysis. In this course, students will expand their proficiency in GIS, honing their skills to dissect spatial data with precision and insight. Through a series of comprehensive modules, participants will learn advanced techniques in spatial data analysis, including interpolation, contouring, data intersections, and overlay analysis. These tools will empower students to extract meaningful insights from complex geographical datasets, facilitating informed...

GIS III: Web GIS - Learn to Share and Manipulate Spatial Data in the Web Environment. Online geospatial technologies move the power of GIS from a local environment to everyone within the reach of the internet. The main goals of the course are to introduce students to many aspects of Web based GIS. Students will gain the abilities to create online maps, share and manipulate spatial data in the web environment, collect spatial data using mobile applications, and create web applications for GIS - skills that are in high demand in many industries. This course is intended for those with desktop...

GIS IV: 3-D Display and Analysis of Spatial Data Data is most valuable when used to identify and quantify patterns and relationships. This is especially true with spatial data and spatial data analysis. GIS provides the tools and techniques for understanding and leveraging valuable information contained within spatial data. In this course, you will learn advanced GIS spatial analysis skills and techniques. You will use this information to make decisions about the physical world through modeling and analysis of spatial data. Through hands-on projects, you will learn techniques to analyze...

GIS Capstone Project Knowing how to design and execute a research project using GIS is critical to your success as a GIS analyst, as is your ability to present your research findings effectively and for a variety of audiences. In this hands-on GIS capstone course, you will complete an individual guided research project and report, applying the knowledge and skills you learned in the four prerequisite GIS courses. You will begin the course by proposing a project, then you will complete the project according to your proposed research design, and finally you will present your resulting...

Introduction to SQL Programming Learn how to use the Structured Query Language (SQL) to create, manipulate, and create reports from database tables. Important concepts associated with relational databases will be covered. You will run SQL commands to create database tables and define data element types. Single and multiple table queries will be created with simple and compound conditions using SQL operators such as: BETWEEN ​LIKE IN EXIST ALL ANY Basic and complex reports will be created based on data in a table or view. Database Administration features of SQL will be discussed. Course...

Data Analytics Using Python In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos. Topics taught range from basic Python syntax all the way to more advanced topics like supervised and unsupervised machine learning techniques. Key topics: Installing Python/Jupyter/IPython on Windows and Mac Python Basics (variables, strings, simple math, conditional logic, for loops, lists, tuples, dictionaries, etc.) Using the Pandas...

Introduction to R Programming Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference problem. In this course, you will learn the most commonly-used (roughly 100) functions and operators from the R Base Package, which serves as the fundamental tools for accessing data from multiple sources, manipulating different types of R objects, performing...

Learn to Create Regulatory Compliance Deliverables for Pharmaceutical Industry: SDTMs, ADaMs, Tables, Lists and Graphs Participants will gain comprehensive knowledge on common R packages (Tidyverse, DPLYR and Piping) and the R programming language. Attendees will learn how to access, create and process R data frames in data management, reporting and analysis. In addition, this course shows best practices in how to select, filter, derive, append and join data frames using SQL code. Ideal for the pharma industry, examples of both SDTM and ADaM datasets will be created, which are important in...