Intro to Data Science with Python
Companies today possess more data than ever before. Unfortunately, there is a severe shortage of talent with the skills to access it and extract insights that benefit operations and decision-making. Because of this, the ability to work with data, manipulate it, analyze it, and produce visualizations are some of the most valuable skills you can learn. These are the skills of a data scientist.
Data science is a relatively new discipline that combines traditional statistics and analytics with programming to produce novel insights, intelligently automated processes, and data-driven decisions. This hands-on course will cover the basics of how to get started doing data science. We will leverage the Python programming language and libraries that come with the Anaconda distribution, putting some of the most powerful and versatile tools for data analysis at your fingertips.
What You Will Learn
This course will equip you with everything you need to complete a basic data science project from beginning to end using Python. Participants will be exposed to a practical, real-world use case, which will be built on throughout the course. Students will use this data to perform exploratory analysis all the way through advanced analytics.
This course will cover the following topics:
Why Data Science with Python?
Python Primer for Data Science
Python Data Science Tools
Data Wrangling and Cleaning
Data Manipulation and Summarization
Advanced Analytics and Forecasting
Where to Go for Help and Additional Resources
What You Need to Bring
We will use the Anaconda (Python 3.6 version) distribution for this course. Attendees should bring a laptop with Anaconda successfully installed.