Certified Data Science Practitioner (CDSP)

Course Details

Certified Data Science Practitioner (CDSP) is a comprehensive course designed to prepare learners for the DSP-210 certification exam while providing practical, hands-on experience in the full data science project lifecycle. This course enables professionals to initiate and manage data science projects effectively, democratising data and framing business problems for analytical solutions.

Learners will gain expertise in data wrangling, exploratory data analysis, and the design of machine learning approaches, including building and fine-tuning classification, regression, and clustering models. The course also introduces deep learning fundamentals, helping learners understand and apply modern techniques such as transformer-based models to real-world problems.

Emphasising clear communication and deployment, the course guides learners in delivering actionable insights and deploying models in production environments. By the end of the course, you will be equipped to manage end-to-end data science workflows and be fully prepared to achieve CDSP certification, demonstrating your capability to deliver impactful, data-driven solutions in a professional setting.

Learners are provided with the following resources:

• eLearning resources – exercises, quizzes, flashcards and a glossary.
• Exam Study Guide – condensed study material on the specific skills objectives you need to master for the exams.
• Video Lessons
• Hands on Labs
• Exam Pre-Assessment and Practice Exams

Who Should Complete this Certified Data Science Practitioner (CDSP) course?

• Aspiring Data Scientists: For those looking to build practical, end-to-end data science skills, from data wrangling and exploratory analysis to deploying machine learning models.
• Analysts and Business Intelligence Professionals: Supports professionals aiming to move beyond reporting, learning to frame business problems for analytical solutions and deliver actionable insights.
• Machine Learning Practitioners: Helps learners design and fine-tune classification, regression, and clustering models, and explore modern techniques like deep learning and transformer models.
• IT and Software Professionals Transitioning to Data Roles: Equips those moving into data science or analytics with hands-on project experience covering the full data science lifecycle.
• Professionals Preparing for Certification: Suitable for individuals seeking the DSP-210 certification, validating practical expertise in managing data science workflows and deploying models in production.

Entry Requirements / Prerequisites

• Learners intending to take the exams should ensure they meet any specific entry requirements. More details can be found on the exam information page.
• View the technical requirements for accessing CMIT eLearning.
• Learn more about the suitability of this course.