Data Acquisition and Preparation

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Learn how to acquire, clean, and prepare datasets for analysis through this comprehensive course in the Data Analytics Skill Path. You will develop critical competencies including connecting to prepared datasets and relational databases, importing and exporting data between common flat file formats, handling missing or duplicate values, identifying and correcting data quality issues, performing data type conversions, summarizing dataset characteristics, and designing validation rules to ensure accuracy and consistency. Through hands-on practice with Power BI, Python, and MS SQL Server, you will transform raw data into clean, analysis-ready datasets. This course combines expertise from Edureka, Google, and the University of California San Diego, providing multiple perspectives on data acquisition and preparation. You will progress from establishing data connections to cleaning and transforming data, validating results, and reading and manipulating datasets in Python. The curriculum balances theoretical understanding with practical exercises, preparing you to confidently manage and prepare data for real-world analytics projects. Perfect for aspiring data analysts and learners seeking strong skills in data acquisition, cleaning, and preparation using both programmatic and business intelligence tools.

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