From Data to Decisions — Learn to Think and Work Like a Data Scientist
Certified Data Science Practitioner
Gain the full-stack skills to manage data, build machine learning models, and solve real business problems — all in one course.
Duration: 5 days
Delivery Mode: Instructor-led (Physical Class)
HRDC Claimable: Yes
An analyst at a logistics firm relied on Excel and intuition to forecast delivery delays. After learning regression modeling and clustering from a CDSP-based course, they built a Python-based prediction tool that reduced route inefficiencies by 18% in the first month.
In 2023, a Malaysian F&B brand transformed its sales reporting after training staff in applied data science techniques.
Outcome:
Revenue forecasting improved by 25% accuracy
They launched a churn prediction model for customer segmentation
Team shifted from static reports to real-time insight delivery using Python and open-source ML tools
End-to-end workflow: ETL, modeling, and deployment
Real Python-based projects with business value
CDSP exam readiness and portfolio-ready capstone
Too Many Data Projects Fail — Not Because of the Tools, But Because of the Process
This course helps you bridge the gap between technical skills and real business problem-solving.
Problem: Teams clean data but don’t know what to do with it
Solution: Teaches business framing, hypothesis testing, and model selection
Problem: Models are built but never deployed
Solution: Learn how to present, implement, and monitor models in production
Problem: Analysts rely on static dashboards with no predictive power
Solution: Develop regression, classification, and clustering models that drive proactive decisions
Problem: There’s a disconnect between tech teams and business needs
Solution: Learn stakeholder communication and web app demo skills for model buy-in
91%
of data science projects that fail lack clear business framing
Source: Gartner 2023 Data & Analytics Trends Report
22-32%
higher salaries are reported by Python-based data scientists compared to general analysts in Southeast Asia.
Source: Robert Walters Malaysia Salary Survey 2024
35%
more likely are certified data professionals to be promoted into leadership roles.
Source: CertNexus Skills Validation Report 2023
The Practitioner’s Guide to Becoming a Full-Stack Data Scientist
You’ll build real models, not just learn theory — with practical labs at every stage
CertNexus Certified Data Science Practitioner is the most practical data science certification training in the market today. You’ll walk out of this 5-day course having built and deployed multiple machine learning models using Python, all tied to real business cases — plus, you’ll be prepared for the globally recognized CDSP exam (DSP-110).
Over 5 days, you’ll walk through a real-world business data challenge — from framing and extraction, to machine learning modeling, deployment, and presentation.
Business professionals, analysts, or developers looking to upskill into applied data science roles
Basic familiarity with Python, data science concepts, and SQL databases
Learn applied data science with Python and core libraries
Extract and transform raw data into usable formats
Build, tune, and evaluate machine learning models
Communicate insights through visualizations and live demos
Complete a portfolio-ready project and prepare for CDSP certification
Module 1: Addressing Business Issues with Data Science
Define project goals and translate them into data science problems
Module 2: Extract, Transform, Load (ETL)
Collect, clean, and load structured/unstructured data
Module 3: Analyzing Data
Use distribution analysis, statistics, and visual tools for insight discovery
Module 4: Designing a Machine Learning Approach
Frame the ML problem and test hypotheses
Module 5: Classification Models
Train, tune, and evaluate classification models (e.g., decision trees, logistic regression)
Module 6: Regression Models
Build and assess forecasting/prediction models using continuous variables
Module 7: Clustering Models
Group data using unsupervised learning for segmentation and discovery
Module 8: Finalizing the Project
Present results, demonstrate via web app, deploy to production, and monitor performance
Great Data Scientists Don’t Just Analyze — They Deliver Business Impact
This course focuses on solving problems, not memorizing algorithms. Through practical labs and a complete project cycle, you’ll develop the mindset and toolkit of a real-world data science practitioner — ready to build models and prove their value in production.
FAQs
Is this course beginner-friendly?
Some foundational knowledge of Python, data, and SQL is required — it’s designed for serious upskillers.
Is this course focused on theory or hands-on?
What tools will I use in class?
Is the CDSP exam included in this course?
Is this course HRDC Claimable?
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