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.