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Advanced Data Science: NumPy, Pandas & Matplotlib for Bio-Data- recorded courses

Master python programming frameworks to accelerate large-scale biological data processing. Deploy artificial intelligence pipelines using computational analytics to decode complex genomic datasets.

  • 5.0/5
  • English
  • Updated Oct 2026
INR

₹599

₹5000 88% off
USD

$10

$50 80% 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.

Advanced Data Science: NumPy, Pandas & Matplotlib for Bio-Data- recorded courses

About this course

The Advanced Data Science: NumPy, Pandas & Matplotlib for Bio-Data (Recorded Course) at Dr. Omics Edu is a self-paced, recorded online course in Python data science for biological data. It focuses on the three Python libraries that biologists use most to handle and plot experimental data. The lessons are already filmed, so you start the day you enrol, with no cohort, timetable or session to miss, and you finish with a complete bio-data analysis in Python that you can show to an employer, a guide or an admissions panel.
In this course you move through NumPy arrays for numerical biological data, Pandas DataFrames for omics and clinical tables and cleaning and transforming messy bio-data, then apply them in a hands-on project. The recorded lessons are organised in 1 module, so you can pause, replay and move at whatever speed suits you. It is open to learners at every level.

What you will learn

NumPy arrays for numerical biological data
Pandas DataFrames for omics and clinical tables
Cleaning and transforming messy bio-data
Grouping, merging and summarising data
Matplotlib plots for publication-quality figures
A complete bio-data analysis workflow
For careers: Bioinformatics data analyst, research associate, and a data-handling skill set that supports thesis and publication work.

Skills you will gain

Python NumPy Pandas Matplotlib Jupyter
Certification

Available

Issued by Dr. Omics Edu

Course curriculum

1 module

  • 1: The Bio-Data Stack: Setting up Jupyter, Conda, and Essential Libraries.
  • 2: NumPy for Biologists: Multidimensional Arrays, Broadcasting, and Vectorization.
  • 3: Pandas Fundamentals: Series, DataFrames, and Importing FASTQ/CSV metadata.
  • 4: Data Cleaning & Wrangling: Handling ""Messy"" biological data and Missing Values.
  • 5: Statistical Analysis with Pandas: Grouping, Aggregation, and Correlation Analysis.
  • 6: Matplotlib Mastery: Customizing Axes, Annotations, and Publication-grade Styles.
  • 7: Advanced Visuals: Integrating Seaborn for Distribution and Relationship Plots.

What you need to start

  • Fundamental understanding of basic Python programming concepts (loops, variables, and basic functions).
  • General familiarity with life science datasets, such as genomic sequences, gene expression levels, or clinical tables.
  • A computer equipped with a modern web browser and internet connectivity to run interactive coding environments.

Who this course is for

  • B.Sc, M.Sc, B.Tech, M.Tech and PhD students and researchers in biotechnology, life sciences or bioinformatics who handle experimental data.
INR

₹599

₹5000 88% off
USD

$10

$50 80% 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.

This course includes
  • Format Self Paced
  • Level All Levels
  • Language English
  • Modules 1
  • Access 3 months
  • Certificate Yes
  • Provider Dr. Omics Edu
  • Certificate
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