About Course
Overview
The Python Certification Training for Data Science course is designed to equip learners with the essential skills needed to use Python programming for data analysis, visualization, machine learning, and predictive modeling. Python has become the most widely used language in data science due to its simplicity, versatility, and vast ecosystem of powerful libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
This program provides a comprehensive, hands-on learning experience, taking you from Python fundamentals to advanced data science applications. By the end of this course, you will be capable of handling real-world datasets, building predictive models, and delivering data-driven insights.
Course Details
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Duration: 6–8 weeks (self-paced or instructor-led)
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Learning Format: Online / Classroom / Blended
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Prerequisites:
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No prior programming experience required (basic math recommended)
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Tools Used: Jupyter Notebook, Anaconda, Python Libraries (NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow/Keras)
Course Content
Module 1: Introduction to Python for Data Science
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Installing Python and Jupyter Notebook
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Python basics: variables, data types, operators
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Control structures: loops and conditional statements
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Functions and modules
Module 2: Data Structures in Python
Module 3: Data Analysis with Python
Module 4: Data Visualization
Module 5: Statistics and Probability for Data Science
Module 6: Machine Learning with Python
Module 7: Advanced Topics
Student Ratings & Reviews
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