Course Live Advanced Dr. Omics Edu

Cancer Bioinformatics in Python: Pandas, Biopython & Machine Learning

A hands-on cancer bioinformatics course using Python, Pandas, Biopython, and machine learning to analyze, visualize, and interpret cancer-related biological data.

  • 5.0/5
  • English
  • Updated Oct 2026
INR

₹45000

₹60000 25% off
USD

$600

$700 14% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Make an Enquiry
Cancer Bioinformatics in Python: Pandas, Biopython & Machine Learning

About this course

The Cancer Bioinformatics in Python: Pandas, Biopython & Machine Learning at Dr. Omics Edu is a live, mentor-led online course in cancer bioinformatics and genomics. It applies Python, Biopython and machine learning directly to cancer data. You learn on real biological data and finish with a cancer genomics analysis on a real dataset that you can show to an employer, a guide or an admissions panel.
In this course you move through handling cancer genomics tables with pandas, sequence and annotation work with biopython and cleaning and preparing clinical and omics data, then apply them in a hands-on project. The course runs live online across 1 module, so you can ask your mentor questions as you work. It is an advanced-level course, best suited to learners who already know the fundamentals.

What you will learn

• Handling cancer genomics tables with Pandas
• Sequence and annotation work with Biopython
• Cleaning and preparing clinical and omics data
• Exploratory analysis and visualisation
• Machine learning models for cancer classification
• Evaluating and interpreting model results
Cancer genomics analyst, oncology bioinformatics researcher, research associate, and a strong profile for cancer research roles.

Skills you will gain

Python Pandas Biopython scikit-learn Jupyter
Certification

Available

Issued by Dr. Omics Edu

Course curriculum

1 module

  • Day 1 – Python essentials for bioinformatics: installation and environment setup (conda/pip, Jupyter).
  • Day 2 – Data types in bioinformatics computing (int, float, string, bool, None).
  • Day 3 – String handling for DNA and protein sequences (slicing, methods, regex basics).
  • Day 4 – Efficient data structures for biological data (lists, tuples, dictionaries, sets).
  • Day 5 – Control structures for genome data processing (loops, conditionals, comprehensions).
  • Day 6 – Functions for automating bioinformatics tasks (arguments, return values, modularity).
  • Day 7 – Importing, exporting, and handling biological files (FASTA, FASTQ, CSV, JSON).
  • Day 8 – NumPy fundamentals and DataFrames with Pandas for tabular biological data.
  • Day 9 – Data manipulation for sequence and expression analysis using Pandas.
  • Day 10 – Visualization of genomic and proteomic data (Matplotlib basics).
  • Day 11 – Interactive visualizations with Seaborn and Plotly.
  • Day 12 – Biopython fundamentals: sequence objects, parsing, and format conversion.
  • Day 13 – Biopython for sequence and structural analysis (alignments, motifs, PDB handling).
  • Day 14 – Machine learning biomarkers using scikit-learn (classification/regression basics).
  • Day 15 – Single-cell analysis introduction with Scanpy and AnnData (data structures, preprocessing).

What you need to start

  • Basic understanding of molecular biology, genetics, or cancer biology.
  • Basic computer skills.
  • Prior Python programming experience is helpful but not mandatory.
  • Basic understanding of statistics is recommended.
  • No prior machine-learning experience is required.

Who this course is for

  • B.Sc, M.Sc, B.Tech, M.Tech, MBBS, B.Pharm and PhD students and researchers in biotechnology, oncology, genetics or life sciences.
INR

₹45000

₹60000 25% off
USD

$600

$700 14% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Make an Enquiry
Active batch
Open for enrolment
Programming for Cancer Bioinformatics (Python)
  • Starts 19 Oct 2026
  • Ends 06 Nov 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level Advanced
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider Dr. Omics Edu
  • Live
  • instructor-led interactive sessions.
  • Hands-on Python programming exercises.
  • Practical work with Pandas and Biopython.
  • Representative cancer-related biological datasets.
  • Step-by-step data preprocessing and analysis workflows.
  • Introduction to machine-learning workflows for biological data.
  • Model evaluation and interpretation exercises.
  • Supporting datasets and learning resources.
  • Course materials for reference and practice.
  • Certificate of participation/completion as applicable.
WhatsApp