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Essential Python Topics for Data Analysts ๐๐ - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missing values, duplicates, and outliers. - Data Visualization: Matplotlib and Seaborn for plotting. - Statistical Analysis: Descriptive statistics, hypothesis testing. - SQL Basics: Interacting with databases using Python. - Jupyter Notebooks: Creating and sharing interactive documents. - Machine Learning Basics: Understanding concepts like regression and classification. - Data Wrangling: Merging, reshaping, and transforming datasets. Also, understanding Object-Oriented Programming (OOP) principles can be beneficial for data analysts. It can help in creating more modular and reusable code, enhancing code organization and maintenance. Hope it helps :)
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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 nume
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Stock market analysts are like fortune tellers. Real wealth comes from understanding the basics and focusing on long-term trends, not quick predictions. The problem is, most people don't want to put in the work and wait for the rewards. Success in
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ExcelR's Data Analyst Course provides a robust curriculum designed to equip you with the essential skills for a successful career in data analysis. Dive into key concepts such as data manipulation, statistical analysis, and visualization techniques u
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๐ Top Programming Languages & Tools for Exploit Development & Reverse Engineering ๐ ๏ธ ๐ Top Programming Languages ๐น C & C++ โ Low-level access, memory manipulation ๐น Assembly (x86, x64, ARM) โ Essential for understanding binaries ๐น Python โ Sc
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StarDevs: A Free Online Hackathon for Beginner Developers Hosted by Starclouds About the Hackathon: Type: Python and Data Analysis Hackathon Requirements: Knowledge of Python and Data Analysis At least 1 year of experience Must be 16 years or o
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StarDevs: A Free Online Hackathon for Beginner Developers Hosted by Starclouds About the Hackathon: Type: Python and Data Analysis Hackathon Requirements: Knowledge of Python and Data Analysis At least 1 year of experience Must be 16 years or o
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