Skills you'll learn:
Blog postsPredictive analytics
Introduction to Data Science
Course
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
Built in collaboration with
IBM
Advanced
1 week
Last Updated November 26, 2024
Prerequisites:
Predictive analyticsscikit-learnNumPyBasic statistical modelingPandas
Advanced
1 week
Last Updated November 26, 2024
Skills you'll learn:
Blog posts • Predictive analytics • Data storytelling • AI algorithms in Python
Prerequisites:
Predictive analytics • scikit-learn • NumPy
Course Lessons
Lesson 1
Welcome to the Course
This lesson will give you an overview of the course, discuss pre-requisites and stakeholders.
Lesson 2
The Data Science Process
In this lesson, you will learn about CRISP-DM and how you can apply it to many data science problems.
Lesson 3
Communicating to Stakeholders
In this lesson, you will be creating a post to communicate your findings via Medium.
Lesson 4 • Project
Project: Writing a Data Scientist Blog Post
In this project, you will create a blog post and Github repository that you can use as you build your data science portfolio.
Taught By The Best
Josh Bernhard
Staff Data Scientist
Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.
Mike Yi
Data Analyst Instructor
Mike is a content developer with a multidisciplinary academic background, including math, statistics, physics, and psychology. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.
Judit Lantos
Senior Data Engineer at Netflix
Judit is a Senior Data Engineer at Netflix. Formerly a Data Engineer at Split, where she worked on the statistical engine of their full-stack experimentation platform, she has also been an instructor at Insight Data Science, helping software engineers and academic coders transition to DE roles.
David Drummond
VP of Engineering at Insight
David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.
Andrew Paster
Instructor
Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity's Self-Driving Car Engineer Nanodegree program.
Juno Lee
Curriculum Lead at Udacity
Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.
Luis Serrano
Instructor
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
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