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A CertNexus Certification Training Course

Certified Data Science Practitioner (CDSP)

Certified & Accredited By
CertNexus
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Why Choose Us

Organizations that can effectively harness and interpret data have a decisive competitive edge. The Certified Data Science Practitioner (CDSP) Training Course equips professionals with the knowledge and practical skills to extract meaningful insights, build predictive models, and drive informed decision-making through the intelligent use of data.

This Data Science Practitioner Training Course emphasizes a hands-on approach, blending theory with practical exercises across every topic area. Participants will learn to implement the complete data science lifecycle — from data extraction and transformation to machine learning model design, evaluation, and deployment.

Aligned with global best practices and the CertNexus® CDSP certification framework, this course develops essential technical competencies in data preparation, visualization, and algorithmic modelling. By completing the CDSP Training Course, participants gain the expertise to turn raw data into actionable intelligence that advances business performance and strategic outcomes.

To ensure your success in this training course, specific prerequisites are mandatory to take. The training prerequisites can be accessed and viewed by visiting the following hyperlinked file: CDSP Prerequisites, and  CertNexus Exam Blueprints.

Why Choose Certified Data Science Practitioner (CDSP)
Course Goals

What are the Goals?

By the end of this Certified Data Science Practitioner (CDSP) Training Course, participants will be able to:

  • Apply data science principles to identify and address real business challenges
  • Execute extract, transform, and load (ETL) processes to prepare and structure datasets
  • Analyze and visualize data to extract meaningful insights and trends
  • Design and implement machine learning strategies for predictive modelling
  • Train, test, and evaluate classification, regression, and clustering models
  • Integrate and optimize models for production-level applications
  • Communicate analytical results effectively to both technical and non-technical audiences
  • Monitor and maintain model performance to ensure continuous business impact

Who is this Training Course for?

The Data Science Practitioner training is designed for professionals who work with data and wish to expand their analytical and computational expertise. It is particularly beneficial for:

  • Data Analysts and Business Analysts looking to enhance data-driven decision-making
  • Programmers and Developers seeking to apply coding techniques to analytics and machine learning
  • Project Managers and Team Leaders involved in data-centric initiatives
  • Statistical and Research Professionals aiming to develop applied machine learning capabilities
  • IT and Digital Transformation Specialists integrating data science within organizational strategies

This training course also serves as preparation for the CertNexus® Certified Data Science Practitioner (CDSP) Exam (DSP-110), helping participants validate their professional proficiency through globally recognized certification.

Learning Approach

How will this Training Course be Presented?

The CDSP Training training course employs an interactive and practical learning methodology to ensure in-depth comprehension and skill mastery. Participants will engage in:

  • Instructor-led presentations introducing data science frameworks and best practices
  • Hands-on exercises using real-world datasets for exploration, cleaning, and analysis
  • Machine learning labs to design, train, and evaluate predictive models
  • Case studies and group discussions to bridge theory and business application
  • Project-based learning culminating in the presentation of an end-to-end data science solution

This practical approach ensures participants gain both technical confidence and strategic insight into how data science transforms business performance.

The Course Content

Addressing Business Issues with Data Science, Extracting, Transforming, and Loading Data

Addressing Business Issues with Data Science

  • Initiate a Data Science Project
  • Formulate a Data Science Problem

Extracting, Transforming, and Loading Data

  • Extract Data
  • Transform Data
  • Load Data

Analyzing Data

  • Examine Data
  • Explore the Underlying Distribution of Data
  • Use Visualizations to Analyze Data
  • Preprocess Data

Designing a Machine Learning Approach, Developing Classification Models

Designing a Machine Learning Approach

  • Identify Machine Learning Concepts
  • Test a Hypothesis

Developing Classification Models

  • Train and Tune Classification Models
  • Evaluate Classification Models

Developing Regression Models, Developing Clustering Models

Developing Regression Models

  • Train and Tune Regression Models
  • Evaluate Regression Models

Developing Clustering Models

  • Train and Tune Clustering Models
  • Evaluate Clustering Models

Finalizing a Data Science Project

  • Communicate Results to Stakeholders
  • Demonstrate Models in a Web App
  • Implement and Test Production Pipelines
Recognition

Certificate

  • • Wallstreet Development Academy Certificate of Completion for delegates who attend and complete the training course.
Qualifications & Endorsements

Accreditation

CertNexus
Collaborations

In Partnership With

Anderson Coventry