CSIP - Certificate in Statistical Programming
₹67800.00
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Course Overview
Schedule of Classes
Course Curriculum
3 Subjects
R Programming
4 Exercises • 16 Learning Materials
R Learning Material - Mentor2
Chapter 1 Getting Started
Chapter 3 FUNCTIONS IN R
Chapter 4 FILE HANDLING IN R
Chapter 5 DATES AND TIMES IN R
Chapter 6 MANAGING DATA FRAMES WITH DPLYR PACKAGE
Chapter 7 LOOP FUNCTIONS IN R
Chapter 8 Sub setting R objects
Chapter 9 Graphs in R
R for Beginners Paradis-rdebuts_en
Chapter 2 R Objects
R Projects Work
R Programming - Project 01
R Programming - Project 02
R Programming - Project 03
R Programming Assessment
R Assessment
R Learning Material - Mentor1
R Programming - Day 1
R Programming - Day 2 to Day 6
R Programming - Day 7 to Day 10
R Programming - Day 11 to Day 15
R Programming - Day 16 to Day 20
R book
R for Beginners Paradis-rdebuts_en
Module 1 - CTDO
4 Exercises • 27 Learning Materials
Module 01 - Clinical Research
MOD-1 CR Comprehensive Student Handbook
E2C EMEA
E2A
E2B
Learning Materials
V2 CREX Integrated Learning
CTDO - Integrated Learning Material
Clinical Research Glossary
pharmacovigilance
Additional References
guideline-good-clinical-practice
ich-e-9-statistical-principles-clinical-trials-step-5_en
Textbook-of-Clinical-Trials-Wiley-(2004) (1)
wwarn-malaria-case-record-form-crf-v2_09apr2018 (2)
6_IND_Application (1)
E6(R2)-Good-Clinical-Practice--Integrated-Addendum-to-ICH-E6(R1) (1)
framework-FDAs-real-world-evidence-program_0 (1)
6_IND_Application
Clinical-Trials-Glossary
ICH_E6(R3)_DraftGuideline_2023_0519
SAP
Statistical Analysis Plan Template
E2E_Guideline
E2D_Guideline
E2F_Guideline
european-union-individual-case-safety-report-icsr-implementation-guide_en
1_ICH_ICSR_Implementation_Guide_v5_02
electronic-submission-individual-case-safety-reports
Guidance_Documentpsur2
Assessment
CTDO Assessment
Clinical Research Assessment
CDM Assessment
Pharmacovigilance Assessment ADCS
Module 2 - Clinical Programming (BASE)
8 Exercises • 42 Learning Materials
SAS Studio
Clinical Trial Data Analytics using SAS Studio- Day 1
SAS Studio Assessment
SAS Studio Assessment
BASE SAS Learning Materials
Chapter 01 What is SAS
Chapter 02 - Writing SAS Programme
Chapter 03 - Editing _ debugging SAS programs
Chapter 04 - Reading and Creating SAS Data Sets1
Chapter 05 - Reading _ Creating SAS Dataset-2
Chapter 06 - Creating SAS Data Sets
Chapter 07 - Reading Raw Data in Fixed Fields (I)
Chapter 08 - Reading rawdata in fixed field-2
Chapter 10 - Reading Free Format Data Advanced Part2
Chapter 11 - Creating Single Observation from Multiple Records
Chapter 12 - Creating Multiple Observations from Single Record
Chapter 13 - Reading Hierarchical Files
Chapter 14 - Conditional Data Processing (I)
Chapter 15 - Conditional Data Processing (II)
Chapter 16 - Creating and Managing Variables
Chapter 17 - Iterative Processing Looping
Chapter 18 - Creating and Applying Formats
Chapter 19 - SAS Functions (I)
Chapter 20 - SAS Functions (II)
Chapter 21 - Combining SAS Data Sets (I)
Chapter 22 - Combining SAS Data Sets (II)
Chapter 23 - Working with SAS Dates (I)
Chapter 24 - Working with SAS Dates (II)
Chapter 25 - Restructuring SAS Data Sets
Chapter 26 - Processing Variables with Arrays
Chapter 27 - Displaying your Data
Chapter 28 - Summarizing your Data
Chapter 29 - Creating Enhanced Reports
Chapter30 - Producing HTML Output (1)
Chapter 09 - Reading Free Format Data Advanced Part1
Home Assignments
Task 01
Task 2
Task 3
BASE SAS Assessments
BASE SAS 01
BASE SAS 02
Base SAS 3 Assessment
Advanced SAS Learning Materials
Chapter 1 - Proc SQL Creating, Updating Tables-Advanced I
Chapter 2 - Proc SQL Creating Updating Tables-Advanced(II)
Chapter 3 - Combining Data Sets using Proc SQL
Chapter 4 - Macro Variables - Advanced (I)
Chapter 7 - Macro Definitions
Chapter 5 - Macro Variables - Advanced (II)
Chapter 6 - Introduction to Macros
Chapter 8 - Macro Interfaces
Chapter 9 - Macro Programs
Chapter 10 - Basics of SAS Graphs (I)
Chapter 11 - Basics of SAS Graphs (II)
Advanced SAS Assessment
Advanced SAS Assessment
Course Instructor
KITEL SME 1
20 Courses • 523 Students
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