Udaan | Data Science

Udaan offers diverse internship opportunities for all students who are interested in pursuing a career in the tech industry. The platform provides internships in fields such as Web Development, Android Development, Python Development, Java Development, Graphic Designing, and Data Science.

Beyond internship openings, Udaan allows interns to engage in real-world projects, completing tasks within specified timelines. This hands-on experience aids interns in developing skills and gaining practical industry knowledge.

For instance, Udaan may assign interns to work on a web development project, involving tasks like designing a website or creating a web application from scratch. Interns are expected to complete the project within a given time, ranging from a few weeks to a few months based on project complexity.

Internship Details:

The Data Science internship program provides practical experience, immersing participants in the complexities of using data to uncover valuable insights and tackle real-world challenges. In this internship, individuals are part of a dynamic learning environment, acquiring knowledge in data analytics and machine learning. This broad exposure not only deepens their understanding of these crucial aspects but also gives them practical skills, preparing them for the intricacies of the Data Science field.

Throughout the program, participants engage hands-on with data, learning how to analyze and draw meaningful conclusions. They also delve into machine learning, understanding how to make computers learn and make predictions from data. This comprehensive approach ensures interns not only grasp theoretical concepts but also apply them in real-world scenarios.

By the end of the internship, participants emerge with a well-rounded understanding of Data Science, positioning them as capable professionals ready to navigate the challenges of the field. This experience not only enriches their knowledge but also hones their practical abilities, making them well-equipped for the diverse and dynamic landscape of Data Science.

Requirements:

• Good in programming language such as Python.
• Understanding of statistical concepts and techniques is crucial for exploratory data analysis, hypothesis testing, and building predictive models.
• Python libraries for data science include NumPy, Pandas, Matplotlib,
• Ability to clean and preprocess raw data effectively using tools like Pandas or scikit-learn.
• Tool: Google Collab.

Summary:

• Gain valuable hands-on experience in Data Science and Machine Learning.
• Completion of assigned tasks is a requirement of the internship.
• The internship duration is 1 month.
• Internship completion certificate.