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The Data Science Practitioner™ (DSP) training provides members with a foundational level of knowledge on how to be part of an effective data science team. It covers the key coordination and data science life cycle frameworks.
When you enroll in our Practitioner training you also gain access to our community, which provides access to member only content (such as discussion forums and white papers) and also enables you to tap into our community of learners, Data Science Team Leads, and DSPA instructors to find answers when you need advice.
The Data Science Team Lead™ (DSTL) course provides an opportunity for more in depth learning. After completing this training, members will be ready to lead data science projects (from a process perspective).
Our DSTL course is our most advanced class. The course includes discussions on common missteps and misunderstandings, so members gain an awareness of the associated symptoms of those missteps. The course also provides prescriptive guidance to avoid having the project go off track from those missteps and misunderstandings.
Full access to the DSPA practitioner course, and the DSPA community, is included in your DSTL course, you do not need to enroll in both courses separately.
During our courses, students work on real-life cases, participate in discussions with other students (that are instructor facilitated), and have readings to compliment the discussions.
For both DSPP and DSPL, the course is a combination of online learning, live instruction and team-based exercises and games, where students experience how using a data science process can improve a data science team’s effectiveness in generating actionable insight. Each of these courses also includes registration for the applicable certification exam.