Python for Data Science: Python Programming & Data Analysis
Transform data into insights using Python and its powerful Libraries such as NumPy, Pandas, Matplotlib, Seaborn etc.
4.25 (156 reviews)
9 708
students
6 hours
content
May 2025
last update
$64.99
regular price
What you will 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
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5905952
udemy ID
03/04/2024
course created date
14/05/2024
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