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Programming Languages (SAS & Python) 2024 H11

  • Experience the intersection of data analytics and programming with our Programming Languages (SAS & Python) Internship.
  • Dive into the versatility of Python for data manipulation, statistical analysis, and machine learning.
  • Explore the power of SAS for advanced analytics and predictive modeling.
  • Through hands-on projects and expert guidance, gain practical experience in leveraging these languages to extract actionable insights from complex datasets.
  • Join us and unlock the full potential of SAS and Python to propel your career in the dynamic field of data science.

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Internship Perks

  • Experience Letter, Internship Certificate & Recommendation Letter.
  • Full-time job placements & pre-placement offers with Edulyt India or our esteemed clients only to top performed students.
  • Earn up to 10K with our Campus Ambassadors & Teaching Partners programs offered exclusively to interns.
  • This program does not include a stipend. However, students having skills to participate in performance-based projects, excluding assignments, may receive a stipend of up to 5K.
  • Maximize professional network by showcasing internship experience on LinkedIn and get higher visibility.
  • Work on cutting-edge emerging technologies & tools.
  • Engage in corporate networking events with industry leaders.
     

Disclaimer - Subject to eligibility and performance in the internship.
 

Internship Description

In our Programming Languages internship program, students will have the exciting opportunity to engage in a wide range of projects that leverage cutting-edge tools and technologies such as SAS, Python, and various visualization tools. These projects are designed to provide interns with hands-on experience in analyzing complex datasets, deriving actionable insights, and contributing to strategic decision-making processes.

Transaction Analysis and Weekend Spending

  • Interns will delve into analyzing different aspects of customer card transactions, including churn, profitability, losses, and retention. Additionally, interns will investigate spending patterns during weekends to determine which city has the highest total spend to total number of transactions ratio. Furthermore, interns will explore the time taken by each city to reach its 500th transaction after the first transaction, providing valuable insights into transaction behavior across different locations.

Credit Card Customer Spending Patterns

  • Interns will focus on analyzing the spending patterns of credit card customers to identify the maximum profitable segment, highest paying customers, and repayment patterns across all segments. By examining customer acquisition details, interns will gain insights into the effectiveness of marketing strategies and customer retention efforts. This project will equip interns with the skills to optimize marketing campaigns and enhance customer satisfaction.

E-commerce Spending and Return Analysis

  • Interns will analyze spending and return details of customers from an E-commerce, along with their demographic information. By examining spending patterns and return categories, interns will identify profitable segments and provide insights into customer behavior. Additionally, interns will create profiles for high-value items versus low-value items and explore their relationship with the number of orders, enabling businesses to tailor their product offerings and marketing strategies accordingly.

Through these projects, interns will develop proficiency in data analysis, visualization, and interpretation, while also gaining exposure to advanced analytical techniques and methodologies. By working with real-world datasets and addressing complex business challenges, interns will emerge from the internship program with the skills and confidence needed to excel in the field of data analytics.

  • Application Last Date2024-06-08
  • Exam Date 2024-06-09
  • Internship Start Date2024-06-16
  • WhatsApp LinkJoin Now
  • CertificateYes
  • ModeOnline/Offline
  • LanguageEnglish/Regional