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Data Science with Python / R
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Course Mode
Offline
Duration
3/4
Eligibility
10+2 with a minimum of 50% marks from a recognized board. A background in Science, with Mathematics as a core subject, is essential.
Entrance Exam
JEE Main, WBJEE, or CUET.
Type of Course
UG
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Course Summary

A Data Science course teaches students how to use statistical methods, algorithms, and programming to extract meaningful insights from vast and complex datasets. The curriculum emphasizes core languages like Python and R, which are the industry standards for data manipulation, analysis, and visualization. Students will learn key concepts such as statistical modeling, machine learning algorithms, data cleaning, and big data technologies. This field is perfect for individuals with strong analytical and problem-solving skills, a keen interest in mathematics and statistics, and a passion for uncovering trends to drive business decisions.

πŸ“… Upcoming Admission Deadlines

  • data-science-with-python-r with 50% scholarship August 28, 2025

Top Recruiters

Amazon
TCS
Wipro
Infosys
Accenture

Career Scope

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College-wise Fees

Frequently Asked Questions

A1: Python is a general-purpose programming language with extensive libraries for data science (e.g., Pandas, NumPy, Scikit-learn), while R was specifically designed for statistical analysis and data visualization, offering a vast collection of statistical packages.
A2: Both are capable. Python is often favored for deep learning and deploying machine learning models in production due to its robust frameworks (TensorFlow, PyTorch) and integration with broader software development. R excels in statistical modeling and traditional machine learning algorithms, particularly for research and academic purposes.
A3: In Python, Pandas offers methods like dropna() to remove rows/columns with missing values or fillna() to impute them with a specific value or a calculated statistic (mean, median). In R, functions like na.omit() or packages like dplyr and tidyr provide similar functionalities for handling missing data.
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