[Udacity] Data Scientist v1.0.0

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CAREER-READY NANODEGREE–nd025

Data Scientist

Build effective machine learning models, run data pipelines, build recommendation systems, and deploy solutions to the cloud with industry-aligned projects.

  • 2 Terms
  • 7 Months
  • Study 5-10 hrs / week

Co – Created With

  • Bertelsmann
  • Figure Eight
  • IBM Watson
  • Insight
  • Kaggle
  • Starbucks

WHY ENROLL

Become career-ready faster

  • INDUSTRY SIZE & DEMAND

    Data Scientist industry is expected to become a $187bn Global industry, with a 28% growth in demand Y-O-Y

  • JOB OPPORTUNITIES

    Develop skills for a role of Data Scientist, Data Science Architect, Data Science Engineer

  • RANKED #08 CNBC

    Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC

  • GLOBAL COMMUNITY

    Join a global community of over 10,000 Data Science Students

WHAT YOU LEARN

Study cutting edge Content

Term fee includes

COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

COURSE SYLLABUS
  • Supervised Learning

    Learn to build supervised machine learning models to make data-informed decisions. Learn to evaluate and validate the quality of your models.

  • Deep Learning

    Gain a solid foundation in neural networks, deep learning, and PyTorch.

  • Unsupervised Learning

    Learn to build unsupervised machine learning models, and use essential data processing techniques like scaling and PCA.

PROJECTS

Industry relevant projects + unlimited project reviews by our global reviewers

PROJECT 1
  • Find Donors for CharityML with Kaggle

PROJECT 2
  • Create an Image Classifier

PROJECT 3
  • Creating Customer Segments with Arvato

SERVICES

We guide and support you throughout your learning journey through these services.

Knowledge
  • Search-based Q&A forum

Study Groups
  • Collaborate with Fellow Students

Project reviews & feedback
  • Receive actionable feedback from expert project reviewers until you get your code right!

INSTRUCTORS

Learn from top Industry Experts

  • Josh Bernhard

    DATA SCIENCE CURRICULUM LEAD

    Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He’s used data science for work ranging from cancer research to process automation.

  • Juno Lee

    DATA SCIENCE INSTRUCTOR

    As a data scientist, Juno built a recommendation engine to personalize online shopping experiences, computer vision and natural language processing models to analyze product data, and tools to generate insight into user behavior.

  • Luis Serrano

    MACHINE LEARNING 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.

  • Andrew Paster

    DATA SCIENCE 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.

  • Mike Yi

    DATA SCIENCE 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.

    CAREER PROSPECTS

    Land your dream Data Science career

    Amazing Job Prospects

    50% is the gap in Demand & Supply in Data Scientist Roles as per McKinsey. The number of jobs in Analytics domain have grown by 78% year on year.

    Turbocharge your salary

    Highest salary of Rs. 25 lakhs offered to a Udacity Data Scientist graduate

    Top-rated jobs

    Data Scientist Jobs have been rated as one of the fastest growing jobs in India.

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32 thoughts on “[Udacity] Data Scientist v1.0.0”

  1. Please, can you also add the exercises for this course?
    Many of them are on github private repos, so you can’t download them without an account.
    For example the Part 08 Lesson 05: Multivariate Exploration of Data, contains “practice” sub-lessons in the form of Jupyter notebooks, and you can’t find them anywhere. They are in some private repo on github.
    You should find the links in the “practice” lessons if you have an account.

    Reply
  2. Thank you very much for help.

    Please upload the course ‘https://www.udacity.com/course/data-engineer-nanodegree–nd027’
    It would be great help.
    Thanks!!

    Reply
  3. where do I find the project related files?

    I have all videos and the html content, can’t do the projects however as I can’t find related files for it.
    Any ideas?

    Reply
    • agree, helps allot of my study.. but despite that, someday i will buy this course online to support the creators hehe.. but seriously, i fuckin love this site

      Reply

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