A new program designed to teach data science is opening up data science to all Arizona students, but it’s a new kind of certifying that can also lead to new careers.
“You’re not really learning to code,” said Jessica Wittenberg, a data scientist at the University of Arizona’s Science and Technology Center.
“You’re learning to do data science.”
Wittenberg is the executive director of Data Science for the Arizona STEM Institute, a group that offers data science and other career skills to students from ages 5 to 25.
Students receive a course load that ranges from basic coding to data analysis.
“This is an exciting new way for us to reach students that might not otherwise be able to do it,” Wittenberger said.
The goal is to give students access to advanced skills, from design and engineering to data science.
But students can also apply to get data science training online, if they so choose.
In addition to the standard Data Science course, students can take the Data Science Certifications Program, which will help them earn their data science degree.
The certification program also offers some flexibility.
For example, if you’re a first-time data scientist, you’ll be able take the first-ever Data Science Certification course in the Data Sciences Program.
That’s a full year of training.
In the past, students have taken the Data Sci.
course and the Data Technology course to earn their Data Science certification.
But with the new Data Science Certificate program, students will be able choose from four other different data science courses, depending on their academic background.
That means they can take courses that focus on design, analysis and visualization, or they can learn about how to apply data science methods in real life.
Students who choose the Data Tech Certificate will be offered a free certification, and the remaining four courses will be included in the cost of their Data Tech diploma.
“We’ve been trying to make sure that students can get this data science experience and this data engineering experience in the same year,” said Wittenber.
Students in the program are required to take a Data Science Course in the first year, and a Data Engineering Course in their sophomore year.
They then need to retake the Data Skills Certification, or continue their training with Data Science and Data Engineering Certifications.
“It’s a bit like taking a science course, but with a lot more content,” said Adam Kornbluth, who is the data science director for the Science and Engineering Directorate at the Arizona Department of Education.
“This gives students the opportunity to take courses from two different schools and then get the certification in both.”
Witteberg said the program will also be open to students who are interested in an associate’s or bachelor’s degree.
The Arizona STEM institute, which opened in 2017, is offering the data scientists an online curriculum in both science and engineering.
“What we really want to do is really help people get their data skills on the road to data leadership and data science, but also to get those skills and knowledge into the classroom,” Witteberg added.
Students can register online, but Wittenburg said the institute is also working with businesses to get the program into the hands of students in their local schools.
In order to qualify for the Data Engineering Certification, students must complete an online test.
The exam includes quizzes and assessments, and will be administered by Data Science Academy, a company that specializes in providing courses for data scientists.
“The whole idea is to make it so that people can actually get this certificate and get this education,” Witeberger said, adding that they are hopeful that the program is a success.
The Data Science Institute has already seen a drop in the number of students taking the Data Technologies certification.
The Data Science Education program is being offered by a nonprofit organization called Data Science USA, which has been helping students earn their bachelor’s and master’s degrees in data science from colleges around the country.