Transform data into insights using Python and its powerful Libraries such as Numpy, Pandas, MatplotLib, Seaborn etc.
Sub Category
- Programming Languages
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Objectives
- 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
Pre Requisites
- No prior experience in Python or data analysis is required; just basic computer skills and access to a computer with an internet connection are necessary to start this course.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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