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Ritika
- Rate ₹4,012
- Response 1h

₹4,012/hr
1st class free
- Computer programming
R Programming for Bioinformatics & Research Data Analysis, DEG Analysis/ Sequencing Data Analysis | Bsc/ MSc / PhD Guidance
- Computer programming
Class location
About Ritika
I am a life sciences researcher with strong experience in bioinformatics and research data analysis using R programming. I work on advanced biological datasets including gene expression analysis, sequencing data, and multi-omics research.
My work involves:
Transcriptomics and sequencing data analysis
Differential gene expression studies
Functional enrichment and pathway analysis
Research data interpretation for scientific studies
Because I actively work in research, I teach students practical skills that are actually used in real scientific projects, not just theory.
Students like my classes because:
I explain complex topics in a simple way
I help students understand research workflows clearly
I support thesis and project work step-by-step
I am patient with beginners and structured with advanced learners
My goal is to help students become confident in analyzing biological data independently using R.
About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +17
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Class 11
Adult Literacy
Undergraduate
Masters
PhD
Other
MBA
Kindergarten (LKG, UKG)
Beginner
Intermediate
Advanced
Professional
Others
Children
- English
All languages in which the class is available :
English
My lessons are designed for students and researchers in life sciences who want to learn how to analyze biological data using R programming in a clear and practical way.
I teach step-by-step methods used in real research projects, especially in bioinformatics and biomedical data analysis. Whether you are a beginner or already working on a thesis/project, the classes will help you understand both the concepts and the actual workflow used in research labs.
In these lessons, you will learn:
Basics of R programming for biological data
Data cleaning, normalization, and visualization in R
Differential Gene Expression (DEG) analysis
RNA-seq and sequencing data analysis workflow
Functional enrichment analysis (GO, KEGG)
Bioinformatics tools commonly used in research
How to analyze your own research dataset or thesis data
Guidance for BSc, MSc, PhD dissertations and publications
Teaching approach:
Beginner-friendly explanation
Real datasets used for practice
Step-by-step coding sessions
Notes and scripts provided after class
Support for assignments, thesis work, and research analysis
Classes can be customized based on:
Coursework requirements
Research projects
Bioinformatics learning goals
Rates
Rate
- ₹4,012
Pack prices
- 5h: ₹20
- 10h: ₹40
online
- ₹4,012/hr
free classes
This first free class with Ritika will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 1hr
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