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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

looking for experienced Data Engineers/Data Analysts(2+ work years) to immediately join our India Team (Gurgaon with Hybrid model) Skills Required: SQL, Python, Pyspark, Azure Databricks, Azure DevOps, Building Data Pipelines, Data Warehousing, Dat

Databases are vital in web development, providing efficient data storage, management, and retrieval. They ensure data consistency, integrity, scalability, and security, making them essential for dynamic applications. 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐃𝐚𝐭𝐚𝐛𝐚𝐬�

How does the MCP Toolbox connect multiple databases? The MCP Toolbox for Databases acts as a central hub, linking MySQL, Postgres, SQLite, AlloyDb, BigQuery, BigTable, Cloud SQL, Spanner, Couchbase, and Neo4j into one ecosystem. It works with appli

yo Delhi peeps, looking out to connect with ambitious aspiring data science people/ business analysts / data analyst/ data engineers to connect. im starting from scratch with this path path; 1)Excel 2)My SQL 3)Tableau and Power BI 4)Python and solv

𝐂𝐡𝐨𝐨𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐢𝐧 𝐰𝐞𝐛 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. 𝐒𝐐𝐋 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬, like MySQL and PostgreSQL, use structured query language (SQL) for structured data, ensuring ACID compliance for reliability. They're

An index is an organized list or reference system that helps locate information quickly. It can appear in books, databases, or websites, showing topics and page numbers. In finance, an index measures market trends. In programming, an index indicates

She is Pranjali Awasthi, the founder of Delv.AI, an AI startup she launched at age 16 that’s now valued at ₹100 crore. Delv.AI helps researchers extract and summarize data from vast online sources, and she’s raised over ₹3.7 crore in funding. 🚀 P

What is the difference between data scientist, data engineer, data analyst and business intelligence? 🧑🔬 Data Scientist Focus: Using data to build models, make predictions, and solve complex problems. Cleans and analyzes data Builds machine learn

Trust me you’ll flip your ass if you put this prompt into chatgpt. it will extract all your personal data from its memory, and it will help you understand how these models store your data, from your activity to what you search, your secrets and every