IT-NetworkZ

Data Science

About Internship

Work with large datasets, applying data wrangling techniques to clean, preprocess, and analyze data.

Learn to build and deploy machine learning models using popular libraries like scikit-learn, TensorFlow, or PyTorch.

Create insightful visualizations and reports using tools like Matplotlib, Seaborn to present findings effectively.

Apply statistical methods to identify trends, correlations, and insights from data.

Gain experience by working on actual data science projects, solving business problems with data-driven solutions.

Strengthen your resume with practical experience in data science, preparing you for roles in data analysis, machine learning, or artificial intelligence.

Prerequisites

Strong foundation in programming, especially Python or R, which are commonly used in data science for data manipulation, analysis, and model building.

Besic understanding of statistics, probability, and linear algebra, which are essential for data analysis and building machine learning models.

Familiarity with data visualization libraries like Matplotlib, Seaborn to present data insights clearly and effectively.

Benefits

Gain hands-on experience working with real-world data, applying data science techniques to solve complex problems.

Learn to build, train, and deploy machine learning models, gaining proficiency in popular frameworks like TensorFlow and scikit-learn.

Develop skills in creating visual reports and dashboards, enhancing your ability to present insights effectively to stakeholders.

Strengthen your resume with in-demand data science skills, increasi

Who Can Apply

Those studying computer science, statistics, mathematics, data science, or engineering, with a strong interest in data analysis and machine learning.

Individuals who want to develop their skills in data science, machine learning, and analytics, preparing for a career in the field.

Candidates with a basic understanding of programming (especially Python or R) and mathematics, eager to learn and apply data science techniques.

Skills

Programming (Python/R)

Mathematics & Statistics

Machine Learning Algorithms

Data Visualization (Matplotlib, Seaborn)

Data Manipulation (Pandas, NumPy)

SQL & Database Management

Perks

Certificate

Letter of recommendation

Flexible work hours

Location: Nagpur
Duration: 45 Days
Start Date: 23-05-2025
Mode: Hybrid
Fee: 3800
No of Openings: 20
Posted: 41 days ago
Apply By: 22 Jun 2025

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