Omdena Academy Courses

Mastering Data Exploration and Preprocessing with Python and SQL

December 29, 2023

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For whom is this course?

This course is designed to provide you with a comprehensive understanding of how to effectively explore and preprocess data using Python and SQL. Through hands-on exercises and practical examples, you will learn various techniques to clean, transform, and analyze data, enabling you to derive valuable insights and make informed decisions.

What will you learn?

  • Gain a solid understanding of the Exploratory Data Analysis (EDA) process and its significance in data analysis.
  • Learn how to load, manipulate, and clean data using Python libraries such as Pandas and NumPy.
  • Explore data visually using Matplotlib and Seaborn to uncover patterns, trends, and outliers.
  • Understand data preprocessing techniques like handling missing values, dealing with categorical data, and feature scaling.
  • Apply advanced techniques like dimensionality reduction and feature engineering to enhance data quality and model performance.


  • Basic knowledge of Python programming language.
  • Familiarity with fundamental concepts of data analysis and statistics.
  • Understanding of SQL fundamentals would be beneficial but not mandatory.


Introduction to EDA and Data Preprocessing

  • Importance of EDA in data analysis
  • Overview of data preprocessing techniques

Data Loading and Cleaning with Python

  • Introduction to Pandas and NumPy libraries
  • Loading and inspecting data
  • Handling missing values and outliers
  • Data cleansing techniques

Exploratory Data Analysis (EDA)

  • Data visualization using Matplotlib and Seaborn
  • Descriptive statistics and summary metrics
  • Identifying patterns and relationships in data

 Preprocessing Categorical and Numerical Data

  • Dealing with categorical data using encoding techniques
  • Feature scaling and normalization
  • Binning and discretization

Introduction to SQL

  • Introduction to SQL and relational databases
  • Executing SQL queries for data manipulation


Course Info

Duration20 hours
Start DateAugust 1, 2023
Last Registration DateJuly 28, 2023
No of Students100
Skill Levelbeginner

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