Chapter 1: Introduction to Data Science in the Classroom.- Chapter 2: Data Science Goes Digital.- Chapter 3: Experimenting with Weather.- Chapter 4: Working with Large Data Sets.- Chapter 5: Introduction to Data Analysis.- Chapter 6: Introducing IoT to Data Science.- Chapter 7: Using Bluetooth for Data Science.- Chapter 8: Investigating the micro:bit Radio.- Chapter 9: Using WiFi to connect to the Internet.- Chapter 10: Introduction to Machine Learning and Artificial Intelligence.- Chapter 11: Using ML services.- Chapter 12: Connecting an edge device to the IoT application.- Chapter 13: Consolidating our Learnings.
Pradeeka Seneviratne, a graduate from the Sri Lanka
Institute of Information Technology (SLIIT), has almost two
decades of experience working on large and complex IT
projects related to the industrial world in a variety of
fields, in a variety of roles (programmer, analyst, architect, and
team leader) with different technologies and software. Pradeeka has
also authored several books related to the maker category
including Beginning BBC micro:bit (Apress), Beginning LoRa Radio
Networks with Arduino (Apress) and Building Arduino PLCs
(Apress).
Philip Meitiner has a background in applied
mathematics, psychology, market research, and ed-tech. Philip was
was on the original founding members of the Micro:bit Education
Foundation where he helped establish the Foundation and is
responsible for creating and nurturing the ecosystem, building the
reseller and peripheral network and managing the sponsorship scheme
(which sawmore than 30,000 micro:bits donated to disadvantaged
schools in 55 counties). Philip continues to work in the ed-tech
sector as a consultant providing services to companies
involved with micro:bit. This eclectic mix of careers and
experience has instilled in Philip a deep understanding of what it
is like to embark on a new learning journey. In addition, his
experiences in teaching, market research and IT have given him the
perfect mix of skills and knowledge necessary to craft this book.
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