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 improve decision-making and business operations.
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 data science. We will leverage the Python programming language and libraries that come with the Anaconda distribution, which will put 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 using Python from beginning to end. Participants will be exposed to a practical, real-world use case, which will be built on throughout the course. Students will use the data from this use case to perform exploratory analysis and build their skills up to 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
We will use the Anaconda (Python 3.6 version) distribution for this course. Attendees will need a computer with Anaconda successfully installed.