CourseCraft

Amanda Shyne

datadrivenagility.com

Data Driven Agility

Small Spaces 3: The One with 3 Jumps

More fun for small spaces with limited equipment. Join us, even if you haven't done the other Small Spaces classes!

Proofing Agility Skills with Kids (FREE COURSE)

Quarantined at home with your kids? Get them involved in helping you proof your dog's obstacle commitment, contact criteria, and more!

Skills & Drills Club

Join our community of agility enthusiasts for free. Pick and choose the units you want to work on in whatever order you like.

Teaching the Tunnel (FREE COURSE)

Open Enrollment - This course will detail a strategic plan on how to train an obstacle which is often taken for granted—the tunnel. Start at the beginning with new dogs and skip ahead for seasoned pups.

Puppy Games

Follow my new puppies in their first year at home. You'll see everything: crate manners, enrichment, play/tug, and of course, lots of agility foundations! Videos will be added regularly.

Teaching Obstacle Commitment

Self-paced, starts immediately when you register. 6 months of instruction time. Teach your pup to commit to obstacles so you can cue and then get where you need to be on course.

Teaching the Weave Poles

Self-paced, starts immediately when you register. 6 months of instruction time. Training the poles from zero to 12 poles. For new dogs or those who want to retrain the weaves from the beginning.

More About Amanda Shyne

Amanda Shyne is the founder of Data Driven Agility in Springfield, VT.  Amanda pursued a graduate degree in animal behavior at Northeastern University in Boston, MA. Her PhD dissertation examined the effects of environmental enrichment on zoo animal welfare. Due to her training as a researcher, her agility school takes a scientific approach to dog training. She is constantly looking for the most effective ways to communicate course direction to dogs.  Amanda is not afraid to try new techniques and enjoys taking seminars as much as she does teaching them.  One of her catch phrases, “Good to know,” reminds her students that all data is important—even if it suggests the need for more training.  Amanda loves agility and will continue to learn from her dogs for the rest of her life.