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Instructor Name

Super admin

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Python

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Course Requirements

  • Motivation to Learn: A strong desire to engage with and understand the material.
  • Basic Knowledge: Familiarity with biology and molecular biology concepts.
  • Interest in Technology: Eagerness to learn about the latest technologies in Next-Generation Sequencing (NGS).
  • Software: Free software will be utilized, so no additional software purchases are necessary.
  • Hardware: A laptop with a minimum of 4GB RAM and 100GB of hard disk space.

Course Description

  • Versatile Python Programming: Discover Python's versatility and user-friendly nature, suitable for diverse applications.
  • Foundational Skills: Build a strong foundation in Python with basic syntax, data types, and control structures.
  • Advanced Programming Concepts: Explore advanced topics such as object-oriented and functional programming in Python.
  • Data Manipulation and Visualization: Understand Python libraries for manipulating, analyzing data, and creating visualizations.
  • Web Development Basics: Learn the basics of web development using Flask and Django frameworks with Python.
  • Automation and Scripting: Dive into automation and scripting capabilities of Python, enhancing efficiency in various tasks.

Course Outcomes

  • Develop proficiency in Python programming, leveraging its versatility and ease of use for various applications.
  • Master foundational concepts including syntax, data types, and control structures essential for effective programming in Python.
  • Apply advanced programming principles such as object-oriented programming and functional programming to solve complex problems.
  • Utilize Python libraries for data manipulation, analysis, and visualization, enhancing capabilities in handling and presenting data.
  • Gain practical skills in web development basics using Flask and Django frameworks, enabling the creation of dynamic web applications.
  • Automate tasks and streamline workflows through effective scripting and automation techniques in Python, improving efficiency and productivity.
  • Rules & Regulations

    •  Attendance and Participation: Maintain a minimum of 75% attendance. Regular assessments and attendance contribute to performance evaluation.
    •  Discipline: Maintain punctuality and respect in live classes. Engage actively and interact respectfully with instructors and peers.
    • Course Fee Payment: Pay course fees on time to avoid suspension or cancellation of access.
    • Assignments: Complete assignments sincerely and submit them on time.
    • Feedback and Communication: Maintain open communication with instructors and provide constructive feedback.
    • Certification: A certificate will be awarded upon course completion.

    Course Curriculum

    1 1_Unlocking Data Science Power with NumPy
    18 Min


    2 2_Data Handling with Pandas and CSV Integration
    37 Min


    3 3_Pandas for web data -HTML Scraping
    23 Min


    4 4_Data Visualization with Matplotlib
    34 Min


    5 5_Advanced Visualization Techniques with Matplotlib
    43 Min


    Instructor

    Administrator

    Super admin

    Administrator

    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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    31 Students
    26 Courses

    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 Recorded Course(Oct 2024)

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