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AKTU Analyzing, Visualizing and Applying Data Science with Python (MNDS701) Syllabus PDF – B.Tech Minor Degree in Data Science
Analyzing, Visualizing and Applying Data Science with Python MNDS701
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- Semester 7
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Official AKTU syllabus of Analyzing, Visualizing and Applying Data Science with Python (MNDS701) for B.Tech Minor Degree in Data Science – 4 credits, L-T-P 3-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Analyzing, Visualizing and Applying Data Science with Python
Download PDFMNDS701 · 4 credits · L-T-P 3-1-0
Course Outcomes
At the end of course , the student will be able to understand
| CO 1 | To learn how to extract data from the Web. |
| CO 2 | To understand how to analyze collected data to derive the most information |
| CO 3 | To explain how data is can be collected from the Web. |
| CO 4 | To extract data and information from the webpages. |
Course Content
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various dataset. | 08 |
| II | Pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize various datasets. | 08 |
| III | Scikit-learn, and we will use some of its machine learning algorithms to build smart models and make predictions, various parameters that can be used to compare various parameters. | 08 |
| IV | Descriptive Statistics, Basic of Grouping, ANOVA, Correlation, Polynomial Regression and Pipelines, R-squared and MSE for In-Sample Evaluation, Prediction and Decision Making | 08 |
| V | Grid Search, Model Refinement, Binning, Indicator variables | 08 |
Text Books
- Data Visualization with Python and JavaScript, Kyran Dale, Shroff Publisher/O’Reilly Publisher Publication.
- Data Science Using Python and R by Chantal D. Larose and Daniel T. Larose, Wiley Publication.
- Python for Data Science and Visualization -Beginners to Pro, Udemy
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