The Data Wrangling Training Online is designed to provide comprehensive, in-depth training in Data Wrangling Training. Prerequisites Basic computer and spreadsheet skills Understanding of rows, columns, and data types Familiarity with Excel or Google Sheets (filtering, sorting, basic formulas) Basic SQL knowledge (SELECT, WHERE, JOIN) - optional but helpful Basic Python or R knowledge if the training uses programming What You Will Learn How to clean and standardize messy data Handling missing values and duplicates Transforming data types and formats Data normalization and consistency checks Filtering, sorting, and aggregating datasets Combining and merging multiple data sources Reshaping data (wide ↔ long formats) Using tools like Excel, SQL, Python (pandas), or R (dplyr) Preparing data for analysis and visualization Best practices for data quality and documentation Tools and Technologies Covered Excel / Google Sheets SQL (MySQL, PostgreSQL, SQL Server) Python (pandas, NumPy) R (dplyr, tidyr) Jupyter Notebook / Google Colab Power BI / Tableau (for data preparation & visualization) CSV, JSON, XML (data formats) APIs / Web data sources (optional) Career Opportunities After Completing Data Wrangling Training Data Analyst Business Analyst Data Engineer (entry-level) BI Analyst Data Scientist (entry-level) Reporting Analyst SQL Developer Analytics Consultant Operations Analyst Data Quality Analyst The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.
