Applied Data Scientist with Python

Colleagues, in the Applied Data Scientist with Python training you will learn to solve data science problems, software and data engineering for  data scientists, experiment design and recommendations, data science project. Skill-based training modules with hands-on project include: 1) Solving Data Science Problems - learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders (Project: Write a Data Science Blog Post), 2) Software Engineering for Data Scientists - Develop software engineering skills that are essential for data scientists, such as creating unit tests and building classes, 3) Data Engineering for Data Scientists - learn to work with data through the entire data science process, from running pipelines, transforming data, building models, and deploying solutions to the cloud (Project: Build Disaster Response Pipelines with Figure Eight), 4) Experiment Design and Recommendations - Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems (Projects: Design a Recommendation Engine with IBM), and 5) Data Science Projects - leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist (Project: Data Science Capstone Project). 

Enroll today (teams & executives are welcome): https://tinyurl.com/2smrvvvu 

Download your free Data Science - Career Transformation Guide.

For your listening-reading pleasure:

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)