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CDISC : SDTM, ADAM And TLF Training Includes ✓Oncology Project ✓Listings ✓Safty Tables ✓ Efficacy Tables ✓Figures✓Safety ADAM Datasets ✓Efficacy ADAM Datasets ✓Safety SDTM Datasets ✓ Efficacy SDTM Datasets ✓Define.Xml ✓Resume ✓Mock Interview
What Is CDISC : SDTM, ADAM And TLF Training?
CDISC: SDTM, ADaM, and TLF Training by Great Online Training is an in-depth course that equips learners with the knowledge and skills to implement CDISC standards, specifically focusing on Study Data Tabulation Model (SDTM), Analysis Data Model (ADaM), and Tables, Listings, and Figures (TLF) in clinical research. This comprehensive training offers professionals a deep understanding of data management, standardization, and reporting in the context of clinical trials using these three key CDISC components. By participating in the CDISC: SDTM, ADaM, and TLF Training by Great Online Training, professionals can enhance their expertise in clinical data management and effectively utilize CDISC standards for improved data quality, interoperability, and regulatory compliance.
Course Name | CDISC, SDTM, ADaM and TLF with Real Time Project |
Duration | 45 Days & 1:30 Hours/Day |
Training Days | Monday to Friday |
Live Class Recordings | Access Provided |
Materials | Life Time Access |
Software | Life Time Access |
Resume Preparation | Included In The Course |
Interview Preparation | Q&A Will Be Provided |
How to Enroll in this course?

STEP - 1: Register Below
Please register for a free demo session by filling in your details in the below form and choose a suitable time to take the demo session
Enroll For A Free Demo
october,2023
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(Friday) 9:32 am(GMT+05:30) View in my time
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(Sunday) 9:32 am(GMT+05:30) View in my time
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(Tuesday) 9:32 am(GMT+05:30) View in my time
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(Thursday) 9:32 am(GMT+05:30) View in my time
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(Saturday) 9:32 am(GMT+05:30) View in my time
Register For Free Demo
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(Monday) 9:32 am(GMT+05:30) View in my time

STEP - 2: The confirmation e-mail
After step-1 a confirmation mail will be sent to your registered email immediately there you can get all course Fees and other details.

STEP - 3: A Call from the Training Co-Ordinator to you
You will receive a Mobile call / Whatsapp call from our training coordinator to explain the course details and any other questions from your end will be answered. If your question is completely technical your call will be forwarded to Trainer from Great online Training, you can ask career-related questions before you choose a career in Clinical SAS.

STEP - 4: Clinical SAS(CDISC) Free Demo
After completion of step-3, you will be invited to Clinical SAS free live Demo by Great Online Training. You will receive a Mail and a WhatsApp message to your registered mobile number. You can attend 3 to 4 classes for free without any payment and Once you decide to continue the training, you can go to the next step.

STEP - 5: Fee Payment
After step-4, we will request you to do the fee payment through Pay Pal / Xoom / Net banking / western union/ UPI / DEBIT Card / CREDIT Card Payment. On the same day, you will receive the material, software, and daily classes recording video folder access. You can regularly attend the live class with the same meeting link every day. Now you are Done.
Great Online Training wishing you Happy Learning and a fruitful career.
CDISC: SDTM, ADaM, and TLF Jobs Eligibility
CDISC: SDTM, ADaM, and TLF jobs eligibility typically require candidates to have a strong background in clinical data management, biostatistics, or a related field. Professionals with experience in the implementation of CDISC standards, specifically SDTM, ADaM, and TLF, are highly sought after by employers. The following qualifications and skills are often considered essential for eligibility:
- A bachelor's or master's degree in life sciences, pharmacy, medicine, biostatistics, or a related field.
- Knowledge of clinical data management processes and regulatory guidelines (ICH-GCP).
- Experience in implementing CDISC standards, specifically SDTM, ADaM, and TLF.
- Proficiency in statistical programming languages, such as SAS or R, is highly desirable.
- Strong analytical, problem-solving, and communication skills.
- Familiarity with clinical trial databases and Electronic Data Capture (EDC) systems.
Additional certifications, such as the CDISC Authorized Education courses or SAS certifications, can enhance a candidate's eligibility and increase their competitiveness in the job market.
CDISC: SDTM, ADaM, and TLF Job Titles
CDISC: SDTM, ADaM, and TLF Job Titles
CDISC: SDTM, ADaM, and TLF job titles reflect the various roles that professionals can hold in the clinical research industry, specifically focusing on data management, standardization, and reporting. Some common job titles for professionals with expertise in CDISC standards, including SDTM, ADaM, and TLF, are:
- Clinical Data Manager
- CDISC Data Standards Specialist
- SDTM Programmer / Analyst
- ADaM Programmer / Analyst
- Clinical SAS Programmer (with CDISC experience)
- Biostatistician (with CDISC knowledge)
- Clinical Trial Data Standardization Specialist
- Data Conversion Specialist (SDTM/ADaM)
- Clinical Data Standards Lead
- Tables, Listings, and Figures (TLF) Programmer
These job titles may vary across different organizations and job postings, but they generally indicate a strong focus on the implementation and management of CDISC standards, including SDTM, ADaM, and TLF, in clinical research data management and reporting.
You should complete SAS Base and SAS Advanced Training before joining CDISC training. If you haven't completed SAS Base and Advanced course yet, please Click here for SAS Base and advanced training.
Advanced complex SAS interview Topics










Download Table Codes
Download demographic Table code Download Adverse event (AE) Table code Download Lab Shift Table code Download Vital signs Table codeCourse Reviews
I enrolled in the Clinical Project Course Training with Trainer Shiva at Great Online Training, and I am extremely satisfied with the course outcome. Shiva sir's in-depth knowledge and hands-on experience in the field helped me understand the concepts better. His teaching methodology and the use of real-world examples made the course more engaging. I would definitely recommend Trainer Shiva and Great Online Training to anyone looking to enhance their skills in clinical research.
The CDISC course I took with Trainer Shiva at Great Online Training exceeded my expectations. Shiva sir's teaching style was engaging and easy to follow, which made the learning process smooth and enjoyable. His expertise in the field provided valuable insights that I could apply to my work. I'm thankful for his support and guidance and would recommend Trainer Shiva and Great Online Training to anyone looking to excel in CDISC.
This Course Features
Unlimited training Attempts
Pay once and get life-time training access
Daily Class Recordings
Get life-time access for daily class recordings along with training
24/7 support
Support available for 24/7
Resume and Interview Preparation
Help in resume and interview preparation along with training
Course Curriculum
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- Demo by Shiva 24 hours
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- 16.2.1.1 Assignment to Analysis Populations 24 hours
- 16.2.1.3 Study Visits 24 hours
- 16.2.1.7 Abnormal Biochemistry Values 24 hours
- 16.2.2.3 Serious Adverse Events 24 hours
- 14.1.4 Subject Disposition by Treatment (Safety Population) 24 hours
- 14.1.8 Subject Demographics (Safety Population) 24 hours
- 14.1.14 Treatment Emergent Adverse Events by Treatment, System Organ Class and Preferred Term (Safety Population) 24 hours
- 14.1.18 Shift Table from Baseline to End of period (Safety Population) 24 hours
- 14.1.22 Best overall response (Safety Population) 24 hours
- 16.1.1 Creatinine (umol/L) Level by Age Range (Safety Population) 24 hours
- Table 16.1.3 Distribution of Maximum Liver Function Test Values by Treatment (safety population) AND Kaplan-Meier Survival Plot (enrolled population) 24 hours
- ADSL PART-03 24 hours
- ADSL FINAL PART & ADDV 24 hours
- ADAE 24 hours
- ADMH 24 hours
- ADVS 24 hours
- ADRS 24 hours
- SDTM OVERVIEW & TRAIL DOMAINS 24 hours
- DM 24 hours
- AE 24 hours
- MH 24 hours
- TU 24 hours
- Define.Xml ,Pinnacle 21 ,Validation Of Tfl 24 hours