Python : the go-to language for data analysis , AI , automation From social media to research labs, data is everywhere-but its value lies in the insights we extract. Python is the key to unlocking that potential. You need to learn core Python concepts, essential libraries, and techniques to clean and analyze data. Expertise following: Why Python for Data Science Tools required Basics of Python (Grammar, Data types) Libraries to get started Exploratory data analysis using Pyth

Master the essentials of Power Query, Data Modeling, and Reporting to boost your data analytics career. In the fast-evolving world of data-driven decision-making, Microsoft Power BI  remains the gold standard for transforming raw, messy data into stunning, interactive insights. It connects to hundreds of data sources — Excel, SQL Server, APIs, web, cloud platforms  and more. Once connected, data flows through: Power Query  : Clean, transform, shape (using M language ) Data Mo

A data analyst , uses these fundamental structures for effective data manipulation and analysis. Collection data types are built-in structures that allow data analysts to store, organize, and manipulate multiple items efficiently. Think of them as containers - just like you use different boxes to organize your belongings (clothes in one, books in another), Python provides different collection types for various kinds of data organization that are essential in data analysis

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