The Exploratory Data Analysis (EDA) with Python course offers a hands-on approach to learning the fundamental techniques of exploring, cleaning, and understanding data using Python. EDA is a critical step in the data science process that helps uncover patterns, detect anomalies, test hypotheses, and check assumptions with the help of summary statistics and graphical representations. This course walks learners through practical, real-world examples using popular Python libraries like pandas, NumPy, Matplotlib, and Seaborn to perform EDA on datasets. By the end of the course, learners will have a solid foundation to analyse and draw insights from data independently, making them more efficient and effective in their data science roles.

Certification

Upon successful completion of the course, learners will receive a Certificate of Completion. This certification recognizes their proficiency in conducting Exploratory Data Analysis using Python and serves as evidence of their skills in data preparation, summarization, visualization, and handling outliers. The certification can be used to enhance professional profiles and resumes, demonstrating their ability to apply EDA techniques in various data-driven roles.

Audience

• Aspiring Data Scientists
• Data Analysts
• Business Analysts
• Students and Researchers
• Professionals transitioning to Data Science