Data Science & MS Products

Introduction to Data Science & Microsoft azure products in collaboration with MLSA

Nov 14, 2023, 2:00 – 3:15 PM



Key Themes

Cloud Study Jam

About this event

Introduction to Data Science:

Data Science is a dynamic and interdisciplinary field that utilizes scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines expertise from statistics, mathematics, computer science, and domain-specific knowledge to uncover hidden patterns, make predictions, and drive informed decision-making. As businesses increasingly rely on data-driven strategies, understanding the fundamentals of Data Science becomes crucial for professionals across various industries.

In this segment of our agenda, we will delve into the foundational concepts of Data Science. We'll explore key techniques such as data exploration, statistical analysis, machine learning, and data visualization. Understanding the principles behind these methodologies is essential for harnessing the power of data to solve complex problems and gain a competitive edge in today's data-driven landscape.

Overview of MS Azure Products:

Microsoft Azure is a comprehensive cloud computing platform offering a wide array of services and tools for businesses to build, deploy, and manage applications through Microsoft's global network of data centers. Azure provides a scalable and flexible environment that empowers organizations to innovate and adapt to evolving technological demands.

During this segment, we will take a deep dive into the vast ecosystem of Microsoft Azure products. From Infrastructure as a Service (IaaS) to Platform as a Service (PaaS) and Software as a Service (SaaS), we'll explore how Azure enables seamless integration, scalability, and security for various applications and workloads. We will highlight key services such as Azure Virtual Machines, Azure App Services, Azure Databases, and more, showcasing their functionalities and how they can be leveraged to enhance business operations.

MLSA and its Unlimited Benefits:

Microsoft Learn Student Ambassadors (MLSA) is an innovative program designed to empower students with the skills and resources needed to thrive in the tech industry. MLSA provides a platform for students to engage with Microsoft technologies, build a global network, and contribute to the community through various initiatives.

In this final segment, we will uncover the unlimited benefits of MLSA. From gaining hands-on experience with cutting-edge technologies to accessing exclusive resources and networking opportunities, MLSA opens doors for students to accelerate their learning and career paths. We will discuss how MLSA fosters collaboration, creativity, and leadership skills, preparing students for success in the rapidly evolving tech landscape.

Join us as we navigate through these key topics, bridging the gap between Data Science, Microsoft Azure, and the transformative opportunities offered by the MLSA program. Whether you are a seasoned professional or a student eager to embark on a tech-driven journey, this agenda promises valuable insights and knowledge that will empower you in your endeavors.


  • Maheen Zahid


    Women Wing Lead

  • Tariq Mushtaq


    Microsoft Ambassador


  • M.Uzair Sarfraz


    GDSC Lead

  • Khubaib Ahsan Mustafa


  • Muhammad Zubair Jameel Chughtai khan

    Outreach Lead

  • Asfand Rasheed Khan

    Management Lead

  • Mahad Nadeem

    AI/ML Lead

  • Shahmeer Hussain

    Creative Lead

  • Muhammad Samiullah

    New Campus (KSK), University of Engineering & Technology, Lahore

    DevOps Lead

  • Abdul Mughni

    Data Science Lead

  • Danyal Zahid

    HR Lead

  • Ahmed Shafique

    Dev IEO

    App Dev Lead

  • Ghulam Ahmad

    AI / ML Co-Lead

  • Hussnain Ahmad

    Web Dev Co lead

  • Malik Moeez Nawaz

    UET Lahore ksk campus

    HR Co-Lead

  • Maheen Khalid


  • Maheen Zahid

    University of Engineering and Technology Lahore New Campus KSK

    Women Tech Lead

  • Hira Amanat

    Web Dev Co-Lead

  • Haiqa Qaiser

    Dev IEO

    App Dev Co-Lead

  • Sehrish Saddique


    Graphic Design Lead

  • Mariyam Amin

    HR Co-Lead

  • Muhammad Hashim

    Web Dev Lead

  • Hamza Atif

    Data Science Co-Lead

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