Exploratory Data Analysis with Pandas and Python 3. x
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently.
This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
Target Audience
This course is for Python developers, data analysts, and IT professionals who want to move toward a career as a full-fledged data scientist/analytics expert; anyone who wants to use data analytics/machine learning to enrich their current personal or professional projects will also benefit from it. Basic Python programming experience required.
Business Outcomes
- Build a solid foundation in data analytics and apply them to real-world datasets
- Each section explores one key measure for exploring any dataset and includes a case study to reinforce the topics you have learned.
- Master the various Data exploration and visualization packages in Python and apply your knowledge to any real-world dataset.
