10 TH PASS
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A comprehensive "Data Analytics with Python" syllabus typically covers Python fundamentals, data manipulation, statistical analysis, data visualization, and an introduction to machine learning using key libraries like Pandas, NumPy, and Matplotlib. Coursera
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Core modules often include:
1. Python Fundamentals
This section focuses on the building blocks of the Python language for data professionals. Coursera
if, elif, else) and loops (for, while).2. Data Wrangling and Preprocessing
This module is crucial for preparing raw data for analysis. Coursera
3. Numerical Analysis and Statistics
This area focuses on the mathematical and statistical foundations using Python libraries. Department of Computer Science - University of Delhi
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4. Data Visualization and Exploration (EDA)
Learning to create meaningful visualizations to communicate insights. Department of Computer Science - University of Delhi
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5. Introduction to Machine Learning
Many syllabi include fundamental machine learning concepts using scikit-learn. UC San Diego Extended Studies
Key Libraries Used
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