TechnologyBeginner

Exploratory Data Analysis with Python: Concepts, Experiments & Case Studies

Name: Exploratory Data Analysis with Python: Concepts, Experiments & Case Studies
Price: 499 INR
Availability: InStock

Learn exploratory data analysis (EDA) using Python. This course covers data science fundamentals, installing and using libraries like NumPy and pandas, data transformation techniques, descriptive statistics, probability distributions, and visualization methods. You'll work through hands-on experiments and case studies, including analyzing automobile and wine quality datasets, to build practical skills in extracting insights from data.

What You'll Learn

Install and set up Python libraries for data analysis

Load, clean, and transform datasets using pandas

Compute descriptive statistics and analyze probability distributions

Create visualizations such as bar charts, line plots, and radar charts

Perform bivariate and multivariate analysis on real-world datasets

Apply EDA techniques to case studies like wine quality analysis

About this course

Exploratory Data Analysis with Python: Concepts, Experiments & Case Studies is a self-paced beginner-level technology online course on GreyAcademy, taught by Anurag Trivedi. It has 3 modules and 7 chapters, and it takes about 10 hours to complete. Enrol once and learn at your own pace. You get a completion certificate when you finish all the lessons.

Topics covered: Introduction, Exploratory Data Analysis Fundamentals, Visual Aids for EDA, Data Transformation, Descriptive Statistics, Model Development and Evaluation, Case Study: Exploratory Data Analysis on Wine Quality Dataset.

Not sure where to start? Compare this with other online courses or follow a career roadmap.