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Ritika
- Rate R707
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R707/h
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1st lesson free
- Computer Programming
R Programming for Bioinformatics & Research Data Analysis, DEG Analysis/ Sequencing Data Analysis | Bsc/ MSc / PhD Guidance
- Computer Programming
Lesson 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.
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About the lesson
- Primary
- Secondary
- Matric/GCSE
- +14
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Undergraduate
Masters
Doctorate
Other
MBA
Beginner
Intermediate
Advanced
Professional
Kids
- English
Languages in which the lesson 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
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Rates
Rate
- R707
Package rates
- 5h: R3535
- 10h: R7070
free lesson
The free first lesson with Ritika allows you to get to know the tutor and discuss your needs and expectations.
- 1h
online
- R707/h
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