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Harish Kumar

Training Consoler • 1y

Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for numerical operations, and Matplotlib for visualizations. Practice analyzing datasets to gain hands-on experience. Tools like Jupyter Notebooks make coding and documentation easy. As you grow, delve into advanced topics like machine learning using Scikit-learn. With consistent effort and practice, Python can become your gateway to data science mastery. More info: https://lnkd.in/dvEid2p6 hashtag#PythonForDataScience hashtag#DataScienceBeginners hashtag#LearnPython hashtag#DataAnalysis hashtag#PythonLibraries hashtag#NumPy hashtag#Pandas hashtag#Matplotlib hashtag#Kaggle hashtag#DataScienceJourney

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Kevin Patel

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prakash silvanus

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Comet

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Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

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Sanskar

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Day 10 of learning data science as a beginner Topic: data analysis using pandas Pandas is one of the python's most famous open source library and it is used for a variety of tasks like data manipulation, data cleaning and for analysis of data. Pand

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