With data visualization, you can identify complex hidden patters in data and communicate your findings to business leaders enabling improved decision-making. In this course, learn to plot, chart and represent data using Python; apply statistical and visualization techniques using Pandas and Jupyter notebooks; practice creating data visualization charts; and create visual and interactive reports.
Prerequisite: Data Mining
Required Textbooks (Available on Amazon)
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition; ISBN-13: 978-1491957660
- Microsoft Power BI Dashboards Step by Step, 1st Edition; ISBN-13: 978-1509308033
For more information, please refer to our course outline.
This is the second course in the Data Analyst Certificate Part 3: Exploratory Data Analysis (3 Class Series) and the seventh required course in the Data Analyst Certificate Program.
For complete details about our Data Analyst Certificate Program, visit our Data Analyst Certificate overview.
