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Begin your data science adventure by mastering Python programming fundamentals, data structures, and basic algorithms. Learn in an interactive environment with hands-on exercises and real-world applications.
Embark on your data science journey with our comprehensive introductory course, focusing on Python programming essentials. Master Python setup, syntax, and control structures, and dive deep into data structures like lists, tuples, sets, and dictionaries. Enhance your skills with essential algorithms and Python libraries, and apply your knowledge in real-world projects.
Perfect for beginners aiming to build a strong foundation in Python for data science, this course offers interactive coding exercises, real-world projects, and insights from industry experts.
Basic understanding of computer operations.
No prior programming experience is required.
Willingness to learn and explore Python programming.
Python Basics: Set up your development environment and understand Python's applications in various fields.
Programming Fundamentals: Explore variables, data types, and type conversion to build a solid programming foundation.
Data Structures: Master lists, tuples, sets, and dictionaries to efficiently organize and manipulate data.
Control Flow & Functions: Implement conditionals and loops, and define functions for modular, reusable code.
Project Development: Apply your skills in a capstone project by building a simple web application using Flask.
Unit 1.
1.1 Python Basics and Environment Setup
Introduction to Python Programming
Setting up Python Environment
Basic Syntax and Control Structures
Functions and Modules
Working with Python Libraries
Unit2.
1.2 Introduction to Data Structures and Algorithms
Understanding Basic Data Structures: Lists, Tuples, Sets, Dictionaries
Algorithmic Thinking and Problem Solving
Basic Algorithms: Sorting and Searching
Introduction to Complexity Analysis
Q: Do I need to install Python before starting the course?
A: No, instructions for setting up the Python environment will be provided in the course.
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Q: Is this course suitable for absolute beginners?
A: Absolutely! This course is designed for beginners with no prior programming experience.
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Q: Will this course cover Python libraries?
A: Yes, basic Python libraries essential for data science will be introduced.
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Q: How long is the course?
A: The course duration varies based on your pace, but typically it takes 3-4 few weeks to complete.
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Q: Are there assessments or quizzes in the course?
A: No, since this is a self-paced course. But you’re encouraged to solve challenges on websites such as leetcode, etc.
