What you’ll learn
- Gain a thorough understanding of Python syntax, script writing, and fundamental programming concepts such as variables, data types, and string operations
- Become adept at using lists, dictionaries, tuples, and sets for organizing and managing data effectively within Python
- Master the use of conditional statements and loops in Python to automate and optimize data processing tasks
- Learn to design reusable Python functions to perform repetitive tasks efficiently, including knowledge of recursion and lambda functions
- Acquire skills in reading from and writing to files in Python, crucial for data processing tasks in real-world applications
- Understand how to use NumPy arrays for complex mathematical computations and effectively handle large datasets with high performance
- Master the use of Pandas for data manipulation and analysis; learn how to explore, clean, and transform data into a suitable format for analysis
- Develop the ability to create insightful visual representations of data using Matplotlib and Seaborn libraries of Python
How to Enroll Python for Data Science: Python Programming & Data Analysis course?
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