Data Scientist
Offered By: Bertelsmann via Udacity
Course Description
Overview
Get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more.
Syllabus
- Welcome to the Data Scientist Nanodegree Program
- Introduction to Data Science
- Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
- Software Engineering
- Software engineering skills are increasingly important for data scientists. In this course, you'll learn best practices for writing software. Then you'll work on your software skills by coding a Python package and a web data dashboard.
- Data Engineering
- In data engineering for data scientists, you will practice building ETL, NLP, and machine learning pipelines. This will prepare you for the project with our industry partner Figure 8.
- Experimental Design and Recommendations
- Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems.
- Data Scientist Capstone
- 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.
- Congratulations!
- Congratulations on finishing your program!
- [Capstone Content] Convolutional Neural Networks
- [Capstone Content] Spark
- Prerequisite: Python for Data Analysis
- Prerequisite: SQL
- Prerequisite: Data Visualization
- Prerequisite: Command Line Essentials
- Prerequisite: Git & Github
- Prerequisite: Linear Algebra
- Prerequisite: Practical Statistics
- Career Services
- The Careers team at Udacity is here to help you move forward in your career - whether it's finding a new job, exploring a new career path, or applying new skills to your current job.
Taught by
Josh Bernhard , Juno Lee , Luis Serrano, Andrew Paster, Mike Yi, David Drummond, Judit Lantos, Karthic G., Balachandar P., Garzai E., Kamil K., Max Q. and Jean-Philippe P.
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