{"id":6443,"date":"2026-02-17T11:16:24","date_gmt":"2026-02-17T11:16:24","guid":{"rendered":"https:\/\/www.lloydbusinessschool.edu.in\/Executive-Education-Program\/?page_id=6443"},"modified":"2026-02-17T11:29:12","modified_gmt":"2026-02-17T11:29:12","slug":"python-no-coding-series","status":"publish","type":"page","link":"https:\/\/www.lloydbusinessschool.edu.in\/Executive-Education-Program\/short-duration-programs\/python-no-coding-series\/","title":{"rendered":"Python No Coding Series"},"content":{"rendered":"\t\t
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Python \u2013 No Coding Series<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Event Name:<\/strong> Python \u2013 No Coding Series<\/p>

Event Date:\u00a0<\/strong> 15 Feb -21 March, 2025<\/p>

Faculty Coordinators:<\/strong> Dr. Saumendra Mohanty<\/p>

Event Timings:<\/strong><\/p>

Number of Participants:<\/strong> 40<\/p>

Venue:<\/strong>Lloyd Business School (Executive Education Program)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Objectives<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The primary objectives of the Executive Education Program on Python Series Part 1 <\/em>were as follows:<\/p>

  • To introduce Python concepts to participants with little or no prior coding background<\/li>
  • To provide an understanding of how Python is applied in analytics, automation, and artificial intelligence<\/li>
  • To familiarize participants with AI-related concepts using Python<\/li>
  • To guide learners on career pathways in analytics and data-driven domains<\/li>
  • To build confidence among participants to independently explore Python-based tools and applications<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    Detailed Report<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    The Python Series Part 1 <\/em>was conducted as a structured four-day masterclass spread across the program duration from 15th February 2025 to 21st March 2025. The sessions were designed in a progressive manner, combining conceptual clarity, demonstrations, and interactive discussions.<\/p>

    Day 1:\u00a0 <\/strong>Introduction to Python and Its Business Applications<\/p>

    The first day focused on orienting participants to the program structure and objectives. Dr. Saumendra Mohanty introduced Python as a versatile and beginner-friendly language widely used in analytics, automation, and artificial intelligence. Emphasis was placed on understanding Python concepts without the pressure of traditional coding. Participants were familiarized with Python\u2019s relevance in business decision-making, data handling, and problem-solving through real-world examples.<\/p>

    Day 2:<\/strong> Python for Analytics and Data Understanding<\/p>

    On the second day, the session progressed to the application of Python in analytics. Participants were introduced to how Python supports data analysis, interpretation, and visualization at a conceptual level. Live demonstrations and guided exercises helped learners
    understand how Python can simplify analytical tasks. The session encouraged interaction and questions, enabling participants to relate Python usage to their academic and professional contexts.<\/p>

    Day 3<\/strong>: AI Concepts and AI in Python<\/p>

    The third day was dedicated to introducing artificial intelligence concepts and their integration with Python. Dr. Mohanty explained fundamental AI ideas in a simplified manner and demonstrated how Python serves as a core tool for AI applications. The session highlighted practical use cases of AI in business and analytics, helping participants appreciate the growing importance of AI-enabled decision-making.<\/p>

    Day 4:<\/strong> Career Counselling and Program Consolidation<\/p>

    The final day focused on career counselling in analytics and AI. Participants received guidance on career opportunities, required skill sets, and future learning pathways in data analytics and artificial intelligence. The session also consolidated the key learnings from previous days, addressed participant queries, and provided direction for continued self-learning. A free eBook on Python was shared to support further practice and knowledge enhancement.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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    Learning Outcomes:<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Upon successful completion of the Executive Education Program, participants were able to:<\/p>

    • Understand fundamental Python concepts without prior coding experience<\/li>
    • Recognize the role of Python in analytics, automation, and artificial intelligence<\/li>
    • Gain introductory exposure to AI concepts using Python<\/li>
    • Develop clarity regarding career opportunities in analytics and AI domains<\/li>
    • Build confidence to pursue further learning and application of Python independentl<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t
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