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What Is Clinical Data Analytics Accelerate?

CDA Accelerate is a focused, hands-on training and internship program in Clinical Statistical Programming, tailored for aspiring Clinical Data Analysts. Whether you're a fresh graduate from a life science, statistics IT or Engineering background, life sciences professional, or someone seeking a career shift into clinical research, this program equips you with the essential tools, programming skills, and domain knowledge required by CROs (Clinical Research Organizations), pharmaceutical companies, and healthcare analytics firms.

Core Tools You’ll Master

Gain proficiency in the most in-demand platforms and certifications:

  • R Programming - Gain hands-on experience in data wrangling, clinical data analysis, visualisation, and statistical modelling.
  • Statistical Platforms - Learn to use industry-preferred statistical tools commonly applied in clinical trials, pharma research, and regulatory submissions.
  • Master statistical programming skills for clinical research, including TLF generation, CDISC standards, and data transformation techniques used in global clinical trials.
  • CDISC Standards (SDTM & ADaM) - Work with CDISC-compliant datasets and understand how to structure data for submission-ready clinical reports.
  • Workflows & Tools - Get practical exposure to tools and workflows adopted by top CROs and life sciences companies, ensuring your skills align with real-world job requirements.
Key Focus Areas
  • End-to-End Understanding of Clinical Trial Processes Learn how clinical trials are designed, conducted, and monitored, with a strong emphasis on data flow, regulatory compliance, and protocol adherence.
  • Clinical Data Cleaning & Management Master data handling techniques to identify discrepancies, clean raw datasets, and prepare high-quality data for statistical analysis.
  • Statistical Analysis of Clinical Trial Data Apply core statistical methods to real-world clinical datasets. Learn to generate Tables, Listings, and Figures (TLFs) for clinical reporting.
  • Application of R Programming in Clinical Research Use R for data analysis, visualisation, and statistical modelling within the clinical research framework.
  • Working with Industry-Standard Tools Work with essential tools like Statistical programming, R, CDISC standards (SDTM, ADaM), and data platforms adopted by CROs and pharmaceutical firms worldwide.
  • Creating Submission-Ready Clinical Reports Learn how to develop outputs and reports that comply with global regulatory requirements (e.g., FDA, EMA), using tools and formats accepted in the industry.

Training and Internship with Stipend

By the end of this Clinical Data Accelerate course, you’ll be prepared for roles such as:

  • ✅ Clinical Data Analyst
  • ✅ Clinical Statistical programming Programmer
  • ✅ R Programmer for Clinical Trials
  • ✅ Biostatistics Associate
  • ✅ Data Science Roles in Healthcare & Life Sciences

Whether you're aiming for Clinical Programming training & internship or looking to transition through a structured clinical data analytics course, CDA Accelerate provides the skills, certifications, and career support to help you succeed.

Why Choose Our CDA Accelerate Course?

At The Whiteboard, our CDA Accelerate Course is designed to prepare you for the industry through real-world skills, hands-on training, and strong industry exposure.

Industry-Aligned Curriculum: Designed by experts with global experience in clinical research, data science, and statistical programming.
Real-World Course Design: Learn tools and processes exactly how they’re used in top CROs and pharmaceutical companies.
Hands-On Learning: Build job-ready skills through live projects, real clinical datasets, and submission-ready reporting tasks.
Master In-Demand Tools: Work with Statistical programming, R Programming, CDISC, SDTM, ADaM, and ML applications in healthcare.
Expert Mentorship: Get guided by seasoned professionals from biostatistics, clinical trials, and AI in healthcare.
Unique Pedagogy: Simplified, step-by-step learning approach—ideal for both technical and non-technical backgrounds.
Flexible Learning Options: Available in both online and offline modes to suit your schedule and learning style.
In-House Internship Program: Gain experience through a structured internship designed to simulate real-world clinical research environments.
Dedicated Placement Support: Resume building, mock interviews, recruiter connects, and job alerts across India.
Recognised Certification: Earn a certificate widely accepted by employers in pharma, CROs, and healthcare analytics.
Tech-Driven Career Edge: Learn how AI, data science, and statistical tools are transforming the future of clinical trials.

Course Highlights & Key Learning Modules

Our CDA Accelerate program offers a comprehensive, industry-aligned curriculum built by experts in clinical data analytics, statistical programming, and biostatistics. The course combines technical depth with hands-on practical learning to ensure that you gain the right knowledge and experience to transition into high-impact roles in clinical research and data science.

  • Global Statistical programming Certification preparation
  • Work as trainee statistical programming programmer(Training along with stipend)
  • Gain 6 months Experience Letter
  • Industry recognized course completion certificate

Key Learning Modules

Module 1: Introduction to Clinical Data Analytics
Understand the fundamentals of clinical trial phases, data management principles, and the key responsibilities of clinical data analysts. Build a strong foundation in how clinical research operates and the role of analytics within it.
Module 2: Clinical Data Programming
Gain hands-on experience in Clinical Statistical programming, the industry-standard tool for clinical data programming. Learn to generate Tables, Listings, and Figures (TLFs) and conduct regulatory-compliant statistical analysis used in real-world submissions.
Module 3: Data Cleaning & Preparation
Explore techniques to clean, validate, and transform raw clinical data into structured, analysis-ready datasets. Learn the importance of data quality, consistency checks, and handling missing or inconsistent values.
Module 4: Clinical Trial Data Standards (CDISC, SDTM, ADaM)
Master how to implement CDISC standards and structure datasets like SDTM and ADaM for compliance with FDA and EMA regulatory requirements. Learn to prepare datasets that meet global submission standards.
Module 5: Clinical Trial Data Handling & Domain-Specific Interpretation
Gain end-to-end exposure to real-world data workflows, from CRF design to domain-specific dataset mapping, discrepancy resolution, and insights extraction.
Module 6: Real-World Project Work
Apply your knowledge in a capstone project using real clinical datasets. Simulate industry workflows, documentation practices, and deliverables to demonstrate your job readiness to potential employers.
Module 7: R Programming & Data Analytics
Get introduced to R, a powerful language used across clinical and healthcare analytics. Learn to use R for: Explore how R programming is used for data cleaning, basic analytics, and visualisation, laying the foundation for advanced clinical analytics.

Key Features That Set Us Apart

  • Practical Learning: Work on real clinical trial case studies, projects, and regulatory-ready datasets to gain in-demand job skills. Includes internship support with partner CROs and pharma companies.
  • Expert Instructors from the Industry: Train with experienced Statistical Programmers and Biostatistics professionals who have worked with global pharma, biotech, and CROs.
  • Domain Overview by Renowned Faculty: Get in-depth exposure to the Clinical Trial Services domain, including trial phases, protocol design, CRFs, and regulatory submission workflows.
  • Clinical Trial Datasets & Examples: Build your technical expertise using authentic datasets and case scenarios sourced from real-world clinical trials.
  • Performance Assessments: Track your progress with regular quizzes, assignments, and interactive evaluations to reinforce your learning and keep you on track.
  • Soft Skills & Communication Training: Boost your career readiness with sessions on communication, teamwork, presentation, and interview etiquette.
  • Mock Interviews & Placement Support: Receive guidance with resume reviews, interview preparation, and job-matching assistance from our dedicated placement team.
  • Experience Letter: Get a 6-month experience letter upon completion of the course to strengthen your professional profile.
  • Global Certification: Earn a globally recognised certification to validate your skills and increase your visibility in the clinical research job market.

Internships & Placement Assistance

Internship Opportunities

Our Clinical Programming course features a structured in-house internship program that mirrors real-world clinical trial environments. Throughout this internship, learners work hands-on with:

  • Authentic clinical trial datasets
  • Statistical programming tools like Statistical programming and R
  • Domain-specific tasks such as CDISC mapping, data validation, and TLF generation

This immersive experience helps students build core competencies in data cleaning, programming, and reporting while aligning with the operational workflows of pharmaceutical companies, CROs, and biotech firms.

By the end of the internship, you’ll be prepared to take on entry-level to mid-level roles across clinical data programming and analytics domains.

Placement Assistance

We are committed to empowering your career through a dedicated, structured placement assistance program. Our goal is to help you confidently transition from training to employment in the clinical research and data analytics sector.

Our Placement Support Includes:

  • Resume Building: Tailored guidance to create a domain-focused resume that showcases your technical skills, project experience, and tool proficiency.
  • Mock Interview Sessions: Practice sessions with mock interviews, technical Q&A, and soft skill training to prepare you for interviews in clinical data programming and biostatistics.
  • Industry Insights & Career Roadmapping: Stay updated with job market trends, domain expectations, and guidance on navigating roles like Clinical Data Analyst, Clinical Statistical programming Programmer, and Clinical Data Manager.

Our aim is to provide the skills, confidence, and support needed to help you succeed in the clinical data analytics industry—not just in securing your first job, but in launching a long-term career path.

Who Should Enrol?

CDA Accelerate is designed for aspiring and transitioning professionals who want to build a strong career in clinical data analytics, clinical Statistical programming programming, and healthcare data science.

🎓 Students & Graduates

  • Pharmacy: B. Pharm, M. Pharm, Pharm D.
  • Statistics & Life Sciences: B.Sc / M.Sc.
  • Technology & Bio Sciences: B.E / B.Tech / M.Tech in Biotechnology, Bioinformatics, Computer Science.
  • Medical Backgrounds: MBBS, BDS, BHMS, BAMS

💼 Working Professionals

  • Clinical Database Programmers
  • Healthcare IT Analysts and Programmers
  • Clinical Research Associate (CRA) / Clinical Trial Associate
  • Regulatory Affairs Specialist
  • Pharmacovigilance / Drug Safety Associate
  • Medical Writer (Clinical)
  • Clinical Operations Manager

This course is ideal for early-career professionals with 1–3 years of experience looking to sharpen their technical capabilities and transition into high-demand roles in clinical research and healthcare analytics.

🔬 PhD & Research Scholars

  • Biostatistics
  • Life Sciences
  • Clinical Research
  • Data Science

🔁 Career Transitioners

  • Anyone seeking to pivot into Clinical Statistical programming, R Programming, or Clinical Data Management


Successful Stories

Eligibility

Candidates from the following background are welcome:

  • Life Sciences (M.Pharmacy, B.Pharmacy, M.Sc.)
  • Statistics (B.Sc., M.Sc.)
  • B.E / B.Tech (Biotechnology, Bioinformatics, Computer Science)
  • MBBS, BDS, BHMS, and BAMS

Any query regarding the course?

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