Data Visualization: Master data visualization techniques using tools like Matplotlib, Seaborn (Python), or ggplot2 (R) to create meaningful and informative graphs, charts, and visual representations of data. This involves dealing with missing values, outliers, and data inconsistencies. Data Manipulation and Cleaning: Learn how to clean, preprocess, and transform data to ensure it's ready for analysis.Database Skills: Gain familiarity with databases and SQL (Structured Query Language), as data analysts often work with large datasets stored in databases.Python is particularly popular due to its adaptablity and extensive libraries for data manipulation and analysis. Programming Languages: Learn programming languages commonly used in data analysis, such as Python or R. These skills are fundamental to data analysis.
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