Certified Data Science Practitioner (CDSP)
Course Schedules
Training Course Overview
In today's data-centric landscape, thriving businesses recognize data as a pivotal asset. It serves as a compass, illuminating the present state and future trajectory of the enterprise. Beyond mere insights, data empowers decision-making and shapes operational strategies. Meeting this demand requires a proficient workforce skilled in data analysis, interpretation, and presentation within structured frameworks. Simply put, the business arena craves data science expertise. The Certified Data Science Practitioner (CDSP) training course equips you to leverage data science principles effectively, adding tangible value to your organization. Hands-on activities accompany each topic, ensuring practical application of acquired knowledge.
To ensure your success in this course, specific prerequisites are mandatory to take. The program prerequisites can be accessed and viewed by visiting the following hyperlinked file: CDSP Prerequisites, and CertNexus Exam Blueprints.
Training Course Objectives
In this Anderson training course, you will implement data science techniques in order to address business issues.
You will:
- Use data science principles to address business issues.
- Apply the extract, transform, and load (ETL) process to prepare datasets.
- Use multiple techniques to analyze data and extract valuable insights.
- Design a machine learning approach to address business issues.
- Train, tune, and evaluate classification models.
- Train, tune, and evaluate regression and forecasting models.
- Train, tune, and evaluate clustering models.
- Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.
Designed for
This Anderson training course is designed for business professionals who leverage data to address business issues. The typical participant in this training course will have several years of experience with computing technology, including some aptitude in computer programming.
However, there is not necessarily a single organizational role that this training course targets. A prospective participant might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data driven situations.
Ultimately, the target participant is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.
This Anderson training course is also designed to assist participants in preparing for the CertNexus® Certified Data Science Practitioner (CDSP) (Exam DSP-110) certification.
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
The Certificate
- Anderson Certificate of Completion for delegates who attend and complete the training course
Accreditation
- → CyberSec First Responder® (CFR): CertNexus Certificate issued upon passing Exam CFR-410.
- → Certified Data Science Practitioner (CDSP): CertNexus Certificate issued upon passing Exam DSP-110.
In Partnership With
Learn more about this course
Yes. The Certified Data Science Practitioner (CDSP) training course can be customised and delivered exclusively for organisations seeking a tailored learning solution. Course content can be adapted to address specific business objectives, operational challenges, industry requirements, and organisational priorities. Customised training allows teams to focus on the topics most relevant to their roles while supporting wider organisational development goals.
No. The Certified Data Science Practitioner (CDSP) training course is open to professionals from a wide range of backgrounds and experience levels. The course content is structured to provide value to both those who are new to the subject and experienced practitioners seeking to deepen their expertise. While some prior knowledge may enhance understanding of certain concepts, it is not a requirement for participation
The Certified Data Science Practitioner (CDSP) training course uses a variety of learning approaches to maximise participant engagement and knowledge retention. These may include expert-led presentations, practical exercises, case studies, group discussions, scenario-based activities, and collaborative learning opportunities. This approach encourages active participation and helps participants translate learning into practical workplace results.
The Certified Data Science Practitioner (CDSP) training course is suitable for professionals who want to expand their knowledge, strengthen their practical skills, and improve their effectiveness within their current or future roles. It is valuable for managers, team leaders, supervisors, specialists, consultants, and professionals seeking to stay current with industry developments and best practices. Whether your goal is career advancement, improved decision-making, or enhanced workplace performance, this course provides relevant knowledge and practical insights to support your professional ambitions.
If you would like additional information about the Certified Data Science Practitioner (CDSP) training course, our professional support team is available to assist with course enquiries, registration guidance, group bookings, and customised training requirements. We are committed to helping you identify the most suitable learning solution for your professional development goals.
- Phone / WhatsApp: +971 56 431 1661
- Email: [email protected]
- Website: anderson.ae
Participants attending the Certified Data Science Practitioner (CDSP) training course gain access to valuable industry insights, practical techniques, and internationally recognised best practices. The course helps professionals improve performance, strengthen confidence, broaden their perspective, and develop skills that contribute to both personal and organisational success. It also provides an excellent opportunity to exchange ideas and experiences with professionals from diverse sectors and backgrounds.
The Certified Data Science Practitioner (CDSP) training course combines practical knowledge, current industry practices, and expert guidance to create a highly relevant learning experience. Rather than focusing solely on theory, the course emphasises practical application, enabling participants to develop skills and approaches that can be implemented directly within their organisations. This balance of knowledge and practical relevance helps participants achieve meaningful and lasting professional impact.
Yes. Participants who successfully complete the Certified Data Science Practitioner (CDSP) training course will receive a Anderson Certificate of Completion, demonstrating their commitment to professional development and continuous learning. This certificate provides formal recognition of the knowledge and skills gained during the course and can support professional growth and career progression.
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