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Course / Course Details

Practical Data Analytics: Swiggy Case Study and Real-World Applications

  • Vikrant Shitole image

    By - Vikrant Shitole

  • 27 students
  • 15 Min
  • (0)

Course Requirements

  1. Basic Knowledge of Mathematics and Statistics
  2. Interest in Data and Business Processes
  3. Beginner to Intermediate Data Skills
  4. Willingness to Learn

Course Description

Explore the realm of data analytics and see how market titans like Swiggy use data to inform business choices. The goal of this course is to give students practical experience with data analysis, machine learning techniques, and business process optimization. 

Discover how data enhances routing algorithms and forecasts peak demand with this lesson on order and delivery analytics. 

Personalization Techniques: Acquire the ability to evaluate client feedback and apply recommendations tailored to each individual. 

Inventory Management: Learn predictive analytics to automate alerts and manage inventory. 

Market Basket Analysis: Gain knowledge for successful upselling and cross-selling. 

Machine Learning Applications: Learn how algorithms rank recommendations according to user preferences, location, and trends.  

Course Outcomes

 Understanding Machine Learning and Data Analytics for Industry Applications:
Build hands-on expertise in machine learning and data analytics, equipping you to tackle real-world business challenges effectively.

Learn from Swiggy Case Study for Real-World Insights:
Explore practical applications of data-driven strategies by analyzing Swiggy’s success, gaining insights into how top companies leverage data analytics for growth.

Get Proficient in Industry-Standard Tools and Techniques:
Develop skills in advanced tools and techniques used by leading organizations to process data, analyze trends, and deliver impactful solutions.

Course Curriculum

  • 1 chapters
  • 1 lectures
  • 0 quizzes
  • 15 Min total length
Toggle all chapters
1 Swiggy Case Study
15 Min

Explore how Swiggy leverages data analytics and machine learning to optimize business decisions, enhance customer experiences, and improve operational efficiency.


Instructor

Vikrant Shitole

16+ years of experience in helping clients journey from data 'd' to a Decision 'D'

Vikrant Vijay Shitole is an accomplished data expert with over 16 years of experience guiding clients from initial data analysis to strategic decision-making. His deep knowledge and practical approach have consistently helped organizations transform raw data into meaningful insights, enabling informed decisions and driving business success. Vikrant's expertise makes him a trusted advisor in the field of data-driven decision-making.

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