Online Training - Healthcare Analytics / Data Science / Data Analytics in Pharma / Life Sciences / Biotech / Clinical Research with SAS & Project Experience Certification with Placement Assistance
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Online Training Features
- Web based classroom
- One faculty/student
- Placement support
- Regular/Fast track/Weekend individual slot
- Flexible timings
- Training Mode: Skype/Teamviewer
Certification
Course Certificate & Job Experience Certificate would be awarded at the end of the program.
Course Curriculum
- Exploring and Visualizing Healthcare Data to draw Insights
- Accessing, transforming and manipulating Healthcare data
- Statistical Analysis of Healthcare Data
- Improving data quality for reporting and analytics
- Data manipulation and data cleaning
- Importing and exporting of data
- Reporting, Statistical and Visual Analysis
- Analyzing Healthcare Data to derive meaningful Insights
SAS / BASE
- Introduction to SAS System & Architecture
- SAS Windowing Environment
- SAS Libraries
- Variables & SAS Syntax Rules
- Data Step and Proc Step
- Titles & Footnotes
- Proc Print Statement
- Proc Print Options
- Set Statement
- Dataset Options
- Options Statement
- Types of Input Statements
- Infile Statement With Options
- Keep, Drop and Rename Statements
- Update Statement
- Modify Statement
- Merging Concepts
- Interleaving Concept
- Logical Variables
- Retain Statement
- Formats and Informats
- Conditional Statements
- SAS Functions
- Do Statement
- Randomization
BASE SAS PROCEDURES
- Proc Sort
- Proc Append
- Proc Transpose
- Proc Contents
- Proc Format
- Proc Import
- Proc Export
- Proc Compare
- Proc Copy
- Proc Options
- Proc Forms
- Proc Datasets
- Proc Printto
- Proc Calendar
STATISTICS
- Introduction To Statistics – Clinical Applications
- Frequency Distribution Of Clinical data
- Clinical Data Presentation
- Measures of Centering Constants
- Measures of Dispersion
- Normal Distribution
- Null Hypothesis / Alternate Hypothesis
- P – Value Interpretation
- Sampling Variation
- Probability Concepts In Clinical Trials
- t-Test – Pharma Applications
- Chi Square test – Adverse Event Analysis
- Correlation & Regression – Estimation Analysis
- ANOVA – Efficacy Analysis
SAS / STAT (DATA ANALYSIS)
- Proc Means (mean, median, std, n, var, cv, range, q, q3, qrange, p50)
- Proc Univariate
- Proc Summary
- Proc TTest (Paired and Unpaired)
- Proc Anova (One Way, Two Way and Manova)
- Proc Glm
- Proc Freq
- Proc Chisq
- Proc Corr
- Proc Reg
SAS / GRAPH
- Proc Plot
- Proc Gplot
- Mutliple Plots & Overlay
- Symbol Statement
- Title and Footnote Statements
- Proc Chart
- Proc Gchart
- Vertical, Horizontal, Pie
- Group, Subgroups
- Proc G3D
- Proc Gprint
- Graph-N-Go
SAS / REPORT
- Proc Report
- Column Statements
- Break/Rbreak Statements
- Compute Statement
- Frequency Procedure
- Proc Tabulate
- One-Dimensional Tables
- Two-Dimensional Tables
- Summary Statistics
- Proc Summary
SAS / ODS
- ODS Statements
- ODS Options
- Using ODS to Create HTML, PDF, RTF
- Proc Template
- Proc Report with ODS
SAS / SQL
- Introduction to SAS/SQL
- Proc Sql Statements
- Proc Sql Options
- Set Clause
- Where Clause
- Order by Clause
- Group by Clause
- Having Clause
- Distinct Clause
- Formatting Output
- Case Expression and Conditional Logic
- Sql Set Operators
- Joins in Sql
- Creating ,Populating & Deleting Tables
- Alter Table Statement
- Renaming A Table & Columns
- Changing Column's Length
- Aggregate Functions
- Pass Through Facility
SAS / MACROS
- Macro Concepts
- Macros And Macro Variables
- Creating Macro Variables
- Using Macro Variables
- Invoking A Macro
- Passing Arguments to Macros
- Macro Quoting Functions
- Macro Options
- Macro Expressions
- Macro Character Functions
- Macro Interface Functions
SAS / CONNECT
- Cimport Procedure
- Cport Procedure
- Using Select Statement
SAS / ACCESS
- Import & Export Procedures
- Proc Access
- Worksheet Statement
LIVE PROJECT
You will be extensively involved
- Extracting the data from various internal and external databases (Oracle, MS Access, Excel spreadsheets) using SAS/ACCESS, SAS/INPUT
- Accessing, transforming and manipulating data
- Reporting, Statistical and Visual Analysis
- Developing programs for converting the Oracle data into SAS datasets using SQL Pass Through Facility
- Healthcare Data analysis with different Statistical Procedures
- Interpretation of p-value and drawing conclusions
- Creating the reports using the SAS procedures and using ODS statements to generate different output formats like HTML, PDF, RTF and excel to view them in the web browser
- Creating the statistical reports using Proc Report, Proc Tabulate and SAS Macro
- Using the SAS procedures (MEANS, FREQ, SUMMARY, TRANSPOSE, TABULATE, REPORT etc) and SAS/STAT procedures (REG, CORR, GLM, ANOVA and UNIVARIATE etc.) for summarization, cross-tabulations and statistical analysis
- Manipulation of SAS datasets using SET, MERGE, UPDATE, MODIFY and Conditional statements
- Generating Graphs and Figures using PROC CHART, PROC GCHART, PROC PLOT, PROC GPLOT and Graph-N-Go
- Using PROC EXPORT and Export wizard to Transfer SAS data to external data sources
- Creation and maintenance of programs used in Data Management, Data Validation, Data Cleaning and Statistical Report Generation
- Extensive Applications in SAS/SQL, SAS/ACCESS, SAS/CONNECT and SAS Macros
- Generating Tables, Listings, Figures/Graphs (TLFs or TLGs)
- Manipulation and Reporting of Data using PROC SQL
- Programming in writing and debugging the Macro routines and applying Macro variables in SAS program
- Live Project