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Course Requirements

  • Motivation to Learn: A strong desire to actively engage with and understand Python programming for biological data analysis and research.
  • Basic Knowledge: Familiarity with core concepts in biology and molecular biology to relate programming applications to biological contexts.
  • Interest in Technology: An eagerness to explore and adopt programming tools and techniques widely used in computational biology and bioinformatics.
  • Software: Only free and open-source software will be utilized, eliminating the need for additional purchases.
  • Hardware: A laptop with at least 4GB of RAM and 100GB of free hard disk space to run Python and associated libraries effectively.
  • Course Description

    • Learn to manage and utilize Python packages essential for data analysis, focusing on NumPy and Pandas.
    • Explore NumPy for numerical computations, including array manipulation and mathematical operations.
    • Dive into Pandas for handling CSV and HTML data, learning to clean, manipulate, and analyze datasets efficiently.
    • Master data visualization techniques using Matplotlib to create insightful graphs and charts.
    • Gain hands-on experience in advanced Matplotlib features for producing professional-quality visualizations.
    • Build a strong foundation to apply Python packages for real-world data analysis and visualization projects.


    Course Outcomes

    • Understand the fundamentals of Python package management and installation.
    • Perform efficient numerical computations using NumPy arrays and mathematical functions.
    • Handle and analyze data from CSV and HTML sources using Pandas.
    • Create basic data visualizations like line plots, bar charts, and scatter plots using Matplotlib.
    • Develop advanced visualizations with customized styles, annotations, and multi-panel plots.
    • Apply Python packages to solve practical data analysis challenges across diverse datasets.

    Rules & Regulations

    • Attendance: Students must watch at least 75% of the recorded sessions to meet the minimum participation criteria.
    • Feedback and Communication: Maintain open communication with instructors for clarifications and actively provide constructive feedback to enhance the course experience.
    • Certification: A certificate of completion will be awarded to students who fulfill the attendance requirement and complete all necessary course components.

    Course Curriculum

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    Super admin

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    Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

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    Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

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    Python Packages for Data Analysis

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