Medical Coding Course In Pune
- Clinical Trail Data Analysis with R Programming full course.
- Duration: 3 Month (Weekends) /65 Hours.
- Training Days: SAT / SUN (2 to 3 Hrs per Session)
- Training Mode: Offline /Online
- Course Materials: Real-Time Project, Videos, Books
- Training Access: Life-time access for Both offline & Online Mode.
- Offline training Location: Mumbai & Pune
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Why Pune Is Quietly Becoming a Hub for Healthcare Careers
Pune has clinics, hospitals and insurance firms. Lots of them. That means real demand for trained coders and billers, not just people who “studied” it online somewhere vague.
Medical coding courses in Pune at ICRB give you ICD-10, CPT and HCPCS. Practical stuff. The kind that actually gets you hired.
What You Can Train For
• Medical billing courses in Pune covering claims, denials and payer rules
• Medical writing courses in Pune for pharma, clinical docs and regulatory content
• Coding certifications that employers actually recognise
Who Should Enrol
Freshers, B.Sc grads, science students, thinking about a stable career path. Even working professionals are switching lanes.
ICRB keeps batches small. Trainers know the industry. That part matters more than most people think.
Comprehensive Course Curriculum
- History and Overview of R
- Getting Started with R
- R Nuts and Bolts
- Mixing Objects
- Getting Data In and Out of R
- Using Textual and Binary Formats for Storing Data
- Interfaces to the Outside World
- Sub setting R Objects
- Vectorized Operations
- Dates and Times
- Managing Data Frames with the dplyr package
- Control Structures
- Functions
- Scoping Rules of R
- Coding Standards for R
- Loop Functions Regular Expressions
- Debugging
- Profiling R Code
Data Visualization in R :
Topics :
- Creating Bar Plot
- Creating Histogram
- Creating Scatter plot
- Creating Boxplot
- Creating Pie plot
- Adding Legends and labels to plots
- Formatting the plot using par parameters
- Create all the above plot for more effective Visualization in R using ggplot2
Descriptive statistics with R
- Understanding Types of Data
- Types of Descriptive Statistics?
- Measure of Central Tendency – Mean, Median, Mode
- Measure of Spread / Dispersion – Range, Variance, standard deviation
- Skewness
- Kurtosis
- Correlation
Probability and statistics with R
Topics
- Probability and Central Limit Theorem
- Exploratory Data Analysis
- Normal Distribution
- Understanding the sampling and it importance
- Different type of Sampling Method
- Importance of Hypothesis Testing in Business
- Basics of Hypothesis Testing
- Null and Alternate Hypothesis
- Understanding Types of Errors – Type I and Type II erroes
- Confidence Interval and Confidence level
- Z-Test
- P Value
- Degree of Freedom
statistical modelling using R:
Topic: Linear and multiple regression
- Introduction to Linear Regression & multiple regression
- Linear Regression with Multiple Variables
- Assumptions of Linear Regression
- Disadvantage of Linear Models
- Case Study on Linear regression Model using R
- Interpretation of Model Outputs
- Evaluation Metric for Linear regression – Mean absolute error, MAPE etc
- B) Topic: Logistic Regression
- Introduction to Logistic Regression
- Why Logistic Regression
- Odds Ratio
- Advantages and Disadvantages of Logistic Regression
- Case Study on Logistic regression Model using R
- Evaluation Metric for Logistic regression – Confusion Matrix, ROC and AUC
CDICS: R Programming For STDM, ADAM & TLF
&
Real- Time Project: (Dermatology & Oncology) Therapeutic Study
- Parallel Computation
- Safety-Listings
- Safety-Tables
- Efficacy-Tables
- Safety & Efficacy Figures/Graphs
- Safety-ADAM Data Sets
- Efficacy-ADAM Data Sets
- Safety-SDTM Data Sets
- Efficacy-SDTM Data Sets
- How to read CRF raw data (SAS7bdat, xlsx, SQL table) using R studio packages such as
Sqldf.
- How to create STDM & ADAM data output in xpt files by using R studio packages such as dplyr, filter, mutate.
- Ind-depth practical understating of most widely used R packages for STDM & ADAM
Such as dplyr, plyr, tidyr.
- How to create table, listing, figure and write output in different format such as rtf, pdf, html & word using R studio most advanced packages such as flextable, officer magrittr knitr & ggplot2.
Frequently Asked Questions
Yes. Medical coding offers stable demand, strong salary growth, and international opportunities.
Yes. With proper training and certification, non-medical graduates can succeed.
Certification is not always mandatory but strongly recommended for better opportunities.
Yes! All learners get lifetime access to all course material once you have enrolled.
Yes. Certificate is Rewarded to Those candidates who completes the Real-time project.
Yes, we have flexible timing for our course.