Intermediate
Certified Data Science Practitioner
CertNexus
The Certified Data Science Practitioner (CDSP) course prepares candidates to apply data science techniques to solve real-world business problems. Participants will gain hands-on experience with the full data science workflow, from data wrangling and exploratory analysis to model building, evaluation, and communication of results.
Who Should Attend
- Data analysts moving into data science
- Software developers working with data
- Business intelligence professionals
- Anyone seeking a vendor-neutral data science certification
Prerequisites
- Basic programming knowledge (Python or R recommended)
- Familiarity with statistics and mathematics
- Understanding of data concepts
What You Will Learn
- Apply the data science workflow end-to-end
- Prepare and process data for machine learning
- Perform exploratory data analysis and visualisation
- Build and evaluate predictive models
- Communicate data science findings to stakeholders
- Apply ethical and responsible data science practices
Course Outline
Labs & Practical Exercises
Comprehensive hands-on labs using Python and real-world datasets. Participants will complete end-to-end data science projects covering data wrangling, EDA, model building, evaluation, and results communication.
Certification & Assessment
CertNexus Certified Data Science Practitioner (CDSP) — a globally recognised vendor-neutral certification validating practical data science skills.