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Collection of Guides on Mastering SQL, Python, Data Cleaning, Data Wrangling, and Exploratory Data Analysis

KDnuggets

Are you curious about what it takes to become a professional data scientist? By following these guides, you can transform yourself into a skilled data scientist and unlock endless career opportunities. Look no further!

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Journeying into the realms of ML engineers and data scientists

Dataconomy

They employ statistical and mathematical techniques to uncover patterns, trends, and relationships within the data. Data scientists possess a deep understanding of statistical modeling, data visualization, and exploratory data analysis to derive actionable insights and drive business decisions.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Here are some project ideas suitable for students interested in big data analytics with Python: 1. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).