Data Transformation and Manipulation

О курсе

Learn how to transform, reshape, and manipulate datasets through this comprehensive course in the Data Analytics Skill Path. You will develop critical competencies including applying data transformation operations to derive new columns, normalizing numeric features, preparing feature sets for predictive modeling, converting continuous variables into categorical variables through binning, reshaping datasets with pivoting and unpivoting, combining datasets with merging and joining, and isolating data through filtering and subsetting. Through hands-on practice with Python and Pandas, you will apply practical techniques to prepare datasets for analysis and predictive modeling. This course combines expertise from Google, Edureka, IBM, and Packt, providing multiple perspectives on data transformation and manipulation. You will progress from understanding data types and structures to performing exploratory data analysis, carrying out preprocessing and data wrangling, and finally applying transformations in practice with Pandas. The curriculum balances theoretical understanding with practical exercises, preparing you to confidently manage, manipulate, and prepare data for predictive modeling and other advanced analytics tasks. Perfect for aspiring data analysts seeking hands-on skills in data transformation, feature engineering, and practical dataset preparation.

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