Understanding the Basics of Python : Start by learning the fundamentals of Python programming language. Familiarize yourself with variables, data types, loops, conditional statements, functions, and basic syntax. You can find numerous online tutorials, courses, or books for Python beginners. Python Libraries for Data Science : Python has several powerful libraries specifically designed for data science. Begin with three essential libraries: NumPy, Pandas, and Matplotlib. NumPy provides support for numerical operations, Pandas helps with data manipulation and analysis, and Matplotlib allows for data visualization. Exploratory Data Analysis (EDA) : Learn how to explore and analyze data using Pandas. Understand how to load datasets, inspect data frames, clean data, handle missing values, and perform basic statistical calculations. Gain proficiency in data manipulation techniques like filtering, sorting, grouping, and merging. Data Visualization : Dive into data visualization using Matplot...
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