Spatial Data Analysis and Visualization MasterTrack™ Program
Solve real-world problems using Python programming language and geographic information systems (GIS) from one of the top 5 public universities in the U.S.
Earn Degree Credit If you're admitted to the Master of Arts in Geography from the University of California, Davis, your MasterTrack coursework counts towards your degree.
Learn how to analyze and visualize spatial data as a data scientist.
Industry areas that rely on spatial data analysis, remote sensing, cartography, and data visualization are growing at accelerated rates.
With this online certificate program, you’ll study at the graduate level to gain the Python programming language and GIS skills you need to advance your career.
You’ll learn to apply data analysis and visualization techniques that are vital to solving business problems through real-world projects designed by faculty from UC Davis and ArcGIS developer Esri. You’ll benefit from graded feedback from your instructors and live sessions with groups of high-caliber peers.
By committing 5-7 hours of online study per week for six months, you will earn a Spatial Data Analysis and Visualization Certificate of Completion from UC Davis and gain credentials in spatial decision support systems and cartography to help you land the job you want.
100% online courses
$3,000
Option to pay all at once, or in four separate installments
6 months to complete
Intermediate Level
You should have undergraduate education or professional experience with GIS. Need a refresher? Start with the Geographic Information Systems (GIS) Specialization on Coursera.
5 hands-on projects
English
Earn degree credit
If you are admitted to the full Master’s program, your MasterTrack™ courses counts towards your degree.
What you will learn
- Conduct spatial analysis and modeling with Python
- Analyze species distribution data with Python
- Compute distance, direction, area and related quantities for spatial data with angular (longitude/latitude) coordinates
- Produce attractive, easy-to-understand maps, and geospatial models
- Make decisions about spatial information design and mapping and implement them with ArcGIS Pro
Skills you will gain
- Python Programming Language
- Geographic Information System (GIS)
- Spatial Data Analysis
- Spatial Information Design
- Data Visualization
- Geospatial Modeling
100% online courses
$3,000
Option to pay all at once, or in four separate installments
6 months to complete
Intermediate Level
You should have undergraduate education or professional experience with GIS. Need a refresher? Start with the Geographic Information Systems (GIS) Specialization on Coursera.
5 hands-on projects
English
Earn degree credit
If you are admitted to the full Master’s program, your MasterTrack™ courses counts towards your degree.
What is a MasterTrack™ Program?
We’ve split portions of Master’s programs into modules so you can earn a university-issued career credential online at a breakthrough price. This program features a deeply engaging learning experience with real-world projects and live expert instruction. If you are accepted to the full Master's program, your MasterTrack coursework counts towards your degree.
Master’s Degree Learning
Take an online module of the UC Davis Master of Arts in Geography program that features weekly live webinars and an interactive team-based project.
Boost Your Career
Receive a Spatial Data Analysis and Visualization Certificate of Completion from UC Davis that you can add to your resume and LinkedIn profile.
Build Your Portfolio
Demonstrate your data science skills through real-world projects and create work samples that help you stand out in your job search.
Start Your Degree
If you are accepted to the UC Davis Master of Arts in Geography, your completed MasterTrack coursework counts towards your degree.
Interactive Learning Experience
You'll learn through readings, videos, graded assignments, real-world applied projects, and live global classroom sessions.
Live Global Webinars
Feedback from Instructors and Experts
Real-World Projects
5 Courses in this MasterTrack™ Certificate
Includes:
- Pre-recorded videos
- Live sessions and office hours
- Real-world projects
- Peer collaboration
- Web and mobile access
Please note: This program is actively being developed. Courses and projects are subject to change.
Spatial Data Handling with Python
Industry-relevant hands-on projects to build your portfolio
Spatial Data Handling with Python
WHAT YOU WILL LEARN
- Extracting raster values with vector objects
- Manipulating vector data in Python (union, intersect, aggregate, etc.)
- Manipulating raster data in Python (crop, mask, reclassify, etc.)
- Reading and writing spatial data into Python
- Spatial data concepts (vector, raster, coordinate reference systems)
Analyzing Spatial Data
WHAT YOU WILL LEARN
- Basic statistical concepts of spatial data, such as autocorrelation and scale
- Exploration and statistical modeling with spatio-temporal data
- Global and local measures of spatial autocorrelation
- Global and local regression with spatial data
- Point pattern analysis
Spatial Prediction
WHAT YOU WILL LEARN
- Compile spatial data for modeling
- Create spatial model predictions and model averaging
- Evaluate spatial model
- Fit a model with spatial data
- Use different modeling techniques
Instructors
Robert J. Hijmans
Associate Professor, Environmental Science & Policy, UC Davis
Amber Manfree
PhD graduate in Geography, UC Davis; Consultant, Amber Manfree Cartography
MasterTrack™ Certificates are earned by completing a concatenation of graduate-level courses offered on the Coursera platform by some of the world's most elite universities. Those same universities may allow qualified, admitted students to apply earned MasterTrack™ Program credits towards related Master's degrees, leading to an affordable academic degree. Coursera does not grant academic credit, and does not guarantee that completion of a MasterTrack™ Program will result in academic credit; the decision to grant, accept, or transfer academic credit is subject to the sole and absolute discretion of an academic institution.
