The Data Science MicroDegree: Data Analysis & Visualization
We start from absolute Python scratch and gradually progress into NumPy, Pandas, Matplotlib & Seaborn for data analysis
What you’ll learn
-
Learn Intermediate Python Programming Skills
-
Using the Jupyter Notebook Environment
-
Using the NumPy Library To Create & Manipulate Arrays
-
Using The Pandas Module To Create & Structure Data
-
Create Data Visualizations Using Matplotlib & Seaborn Modules With Python
-
Learn To Work With Various Data Formats Within Python, Including: JSON,HTML, & MS Excel Worksheets.
Requirements
-
Desire & Interest In Data Science
-
Basic Mathematics
-
Basic Python Or Programming Knowledge Would Help
-
A Computer With An Operating System (Windows, Mac or Linux)
Who this course is for:
- Students With A Keen Interest In Data Science
- Job Seekers Who Want To Leverage Their Data Skills
- Python & Data Science Beginners Who Don’t Know Where To Start