Data Science Internship
Introduction
Data Science is the field of extracting meaningful insights from structured and unstructured data using statistical methods, algorithms, and computational tools. It combines programming, analytics, and domain expertise to solve real-world problems and support decision-making. Data Science powers applications in business intelligence, healthcare, finance, e-commerce, and emerging technologies.
Who Can Join
- Engineering & Technology Students
- B.TECH & M.TECH students (all relevant branches)
- Specializations: CSE, IT, ITM, ITC, AI, ML, DS
- B.TECH & M.TECH students (all relevant branches)
- Graduates & Final-Year Students
- Computer Science & IT graduates or final-year students
- MCA, BCA, CA (Application), B.Sc., M.Sc. in CSE/IT
- Computer Science & IT graduates or final-year students
- Others
- Anyone interested in working with data-driven projects and analytics.
How Data Science Works at Prasartech
At Prasartech Projects and Solution, Data Science is taught through a balance of theory and real-world applications. Students learn to collect, clean, analyze, and visualize data, as well as build predictive models to address industry challenges. Our hands-on approach ensures that participants can confidently work with large datasets and turn them into actionable insights.
Industry-Relevant Skills
Interns will gain expertise in:
- Data collection, preprocessing, and cleaning techniques.
- Exploratory Data Analysis (EDA) and visualization.
- Statistical analysis and hypothesis testing.
- Machine Learning integration in Data Science workflows.
- Tools and libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.
- Data collection, preprocessing, and cleaning techniques.
Hands-On Project Work
- Predictive analytics and forecasting models.
- Customer segmentation and market analysis.
- Sentiment analysis using social media or customer reviews.
- Interactive data dashboards and reports.
- Predictive analytics and forecasting models.
Expert Mentorship
Students receive guidance from experienced Data Scientists who provide insights into real-world problem-solving, best practices in analytics, and model optimization. The mentorship includes collaborative reviews, feedback sessions, and deployment guidance for project outcomes.
Outcome
- Mastery of Data Science workflows from raw data to actionable insights.
- Readiness for careers in analytics, AI, machine learning, and business intelligence.
- Mastery of Data Science workflows from raw data to actionable insights.
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