About This Course
Healthcare Data Analysis
Start Date: October 6th 2022
Course Fee: 3000 INR*
Book Your Seat Now: https://rzp.io/l/HCDataKA
Total Duration: 78 Hours
Weekend batch for current final year students & Weekday batch for graduates.
Only for Final Year Students & 2022 Graduates Strictly from Karnataka Only
Bpharm, Mpharm, PharmD, BDS, MDS,
BSc/MSc Nursing, BSc/MSc Biotech, Mircro, Biology
Super Charge Your Career with:
IBM SPSS Statistics
Clinical Research Theory
This course is conducted in association with Indian Pharmacy Graduate Association.
This is the only affordable course in India that packs Top courses in India that provides excellent career options in the job market.
- Weekend batch for current final year students & Weekday batch for graduates.
- Only for Final Year Students & 2022 Graduates Strictly from Karnataka Only
- Bpharm, Mpharm, PharmD, BDS, MDS,
- BSc/MSc Nursing, BSc/MSc Biotech, Mircro, Biology
SAS programming process using SAS programming tools understanding SAS syntax Accessing Data Exploring and Validating Data Preparing Data Analyzing and Reporting on Data Exporting Results Using SQL in SAS Data Manipulation Techniques DATA Step Processing Summarizing Manipulating Data with Functions Creating Custom Formats Combining Tables Processing Repetitive Code Restructuring Tables
Session 1: Introduction to Pharmacovigilance, history, background Session 2: Significance of Pharmacovigilance, workflow of PV Session 3: What is risk management & signal detection? What is patient safety? How PV helps in risk management & patient safety? Session 4: What is MedDRA? History of MedDRA. Session 5: Scope of MedDRA. What is the importance of MedDRA? Session 6: Structure of MedDRA. How is MedDRA necessary in PV? Session 7: Workflow of PV industry & career growth Session 8: What are different types of reports and sources of the reports? What are different types of cases? What is case processing/ reviewing/ triaging/ medical review/submission Session 9: Different aspects of PV interview, challenges and solutions. Session 10: Question, Answers & doubt solving session
IBM SPSS – Statistics
Introduction Types of Variables Statistical Tests Data Entry Data Cleaning Data Coding Data Manipulation Hypothesis Testing - Data Analysis Reporting
What is Clinical Research? ICH GCP guidelines Consent Forms Participant information sheets
Analyzing Clinical Date - Cardiology, Hypertension and Hospital Datasets