Data Exploration, Visualization, and Preparation

Categories: Chartered
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About Course

This module equips learners with the essential skills to explore, visualize, and prepare data for analysis. Participants will learn how to uncover insights through exploratory techniques, create impactful visual representations of data, and apply data wrangling methods to ensure data quality and readiness for advanced analytics. The module emphasizes practical techniques and industry tools to handle real-world data challenges.

What Will You Learn?

  • Fundamental data exploration techniques to understand dataset characteristics
  • How to apply summary statistics and identify key patterns, trends, and anomalies
  • Principles and best practices of effective data visualization
  • How to choose the appropriate charts and graphs for different data types
  • Hands-on use of modern visualization tools such as Tableau, Power BI, matplotlib, and Seaborn
  • Techniques for cleaning data: handling missing values, outliers, and inconsistencies
  • Data transformation methods including normalization, standardization, and encoding categorical variables
  • Feature engineering strategies to create meaningful new features from existing data
  • Building efficient data preparation pipelines for modeling and analysis

Course Content

Data Exploration Techniques

  • Understanding the nature and structure of data
  • Summary statistics and descriptive analysis
  • Identifying patterns, trends, and anomalies
  • Using exploratory data analysis (EDA) to drive business questions

Data Visualization Tools and Best Practices

Data Wrangling and Preparation Methods

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