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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 Aug 2026
Advanced Data Science: NumPy, Pandas & Matplotlib for Bio-Data- recorded courses

About this course

more than standard analytical tools; it demands specialized data science frameworks. This program empowers you to handle complex biological structures, multi-omic datasets, and clinical information using Python's core data science libraries. Throughout this journey, you will master scientific computing techniques to parse high-throughput screening data with unparalleled computational efficiency. By utilizing data manipulation techniques, you will learn to clean, filter, and structure messy genomic sequences and expression profiles. Furthermore, you will build data visualization dashboards that transform raw data tables into insightful, publication-ready biological discoveries. By integrating foundational data processing with AI-driven analysis concepts, this course perfectly positions you at the cutting edge of modern biomedical innovation.

What you will learn

Manipulate massive multidimensional biological arrays efficiently using optimized NumPy vectorization techniques.
Clean, wrangle, and restructure complex multi-omic and clinical datasets using advanced Pandas DataFrames.
Create highly customized, publication-quality data visualizations, heatmaps, and genomic plots via Matplotlib.
Implement structured workflows to prepare raw biological features for downstream artificial intelligence and machine learning models.
Parse standard bioinformatics file formats efficiently to extract meaningful statistical insights.

Skills you will gain

NumPy Pandas Matplotlib Bioinformatics Python Visualization Preprocessing Parsing Analytics Wrangling
Certification

Available

Issued by Dr. Omics

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

  • Bioinformaticians and Computational Biologists looking to upgrade their data manipulation and automation capabilities.
  • Life Science Researchers and Wet-Lab Scientists aiming to transition into data-driven roles or handle their own massive sequencing datasets.
  • Data Scientists wanting to pivot into the lucrative biotechnology, pharmaceutical, or healthcare analytics sectors.
  • Students and Academics in genomics, biochemistry, or biomedical engineering striving to master Python-based bio-data analytics.
INR

₹599

₹5000 88% off
USD

$10

$50 80% off

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

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