Nanodegree Program

Big Data Foundation

43 reviews

Learn the basics of Hadoop, deploy Hadoop cluster and practice MapReduce

ENROLLMENT CLOSING IN
  • Skill Covered
    Big data basicsHadoop Distributed File SystemMapReduceDeploying Hadoop with Amazon EC2Hadoop Cluster with Ambari
    + MORE
  • Job Opportunities
    Big Data ScientistData EngineerData Scientist
    + MORE
  • Prerequisites
    Basic Python experience required
    + MORE
  • Classroom opens
    19 November 2018
    Duration
    2 months We recommend 10 hrs / week
  • Skill Covered
    Big data basicsHadoop Distributed File SystemMapReduceDeploying Hadoop with Amazon EC2Hadoop Cluster with Ambari
    + more
  • Job Opportunities
    Big Data ScientistData EngineerData Scientist
    + more
  • Prerequisites
    Basic Python experience required
    + more
  • Classroom opens
    19 November 2018
    Duration
    2 months We recommend 10 hrs / week

Why take this Nanodegree?

Using massive datasets to guide decisions is becoming more and more important for modern businesses. Hadoop and MapReduce are fundamental tools for working with big data. By knowing how to deploy your own Hadoop clusters, you’ll be able to start exploring big data on your own.

With this Nanodegree, you will build your foundations in Hadoop and MapReduce. You will also learn how to deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.


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Get started with this Foundation Nanodegree Program to prepare for a career-ready Nanodegree Program

Skills Covered
  • Big data basics
  • Hadoop Distributed File System
  • MapReduce
  • Deploying Hadoop with Amazon EC2
  • Hadoop Cluster with Ambari
Show More

What You Will Learn

Big Data Foundation

Learn how the big data differs from other traditional data analyzes. Learn the basics of Hadoop, the leading tool for big data processing in the world. Practice MapReduce, a model invented by Google that made the breakthrough on the big data we see today

See fewer details

2 months to complete

Prerequisite Knowledge

Basic Python experience requiredSee detailed requirements.

  • Big Data

    Learn about the 3 V’s of Big data. Learn what big data is & how hadoop solves big data problems.

  • HDFS (Hadoop Distributed File System) & MapReduce

    Discover how HDFS distributes data over multiple computers. Learn how MapReduce enables analyzing datasets in parallel across multiple machines.

  • MapReduce Code

    Learn how to code in a MapReduce program and analyze data using MapReduce.

  • MapReduce Design Patterns

    Learn about filtering patterns, summarizing patterns, and structural patterns in Mapreduce

  • Deploying hadoop on Amazon EC2

    Configure & launch hadoop cluster manually

  • Deploy a hadoop cluster with Ambari

    Use automated methods to deploy larger clusters.

Projects that you will build

Analyzing data from the New York subway
Project 1

Analyzing data from the New York subway

The New York City Subway offers various data on its complex operation on the internet. After collecting these data, you will use statistics and simple programming to identify patterns, trends and correlations between the information analyzed.

Learn with the best

Mat Leonard
Mat Leonard

Instructor

Mat is a former physicist, neuroscientist, and data scientist with a passion for education. Recently, he led the Deep Learning Nanodegree Foundation program covering state-of-the-art machine learning models.

Sarah Sproehnle
Sarah Sproehnle

Instructor

Sarah Sproehnle is the Vice President of Educational Services at Cloudera, a company that helps develop, manage and support Apache Hadoop. While she is a geek at heart, her passion is helping people learn complex technology. In addition to teaching people how to use Hadoop, she's taught database administration, various programming languages, and system administration.

Ian Wrigley
Ian Wrigley

Instructor

Ian Wrigley is currently the Senior Curriculum Manager at Cloudera, responsible for the team which creates all the company's Hadoop training materials. He's been a tech journalist, an instructor, and a course author for over 20 years, during which time he's taught everything from C programming to copywriting for the Web. He describes his job as "teaching geeks to be geekier".

Gundega Dekena
Gundega Dekena

Instructor

Once upon a time Gundega was a Udacity student. In a way she still is, because she is learning new things from instructors she works with and her Udacity coworkers every day.

If you occasionally want to read fun news about robotics, science and games, follow her on G+ - https://plus.google.com/+GundegaDekena.

Student Reviews

4.2

(42)

5 stars
21
50.0%
4 stars
13
31.0%
3 stars
3
7.1%
2 stars
4
9.5%
1 stars
1
2.4%
Mohd Arif A.

nice

Vikranth R.

Nice

Shivam P.

Well i have already shared my experience in two or more feedbacks, i just want you to bring more big data related courses like apache spark , hive and all . As only one course is listed in udacity related to big data please bring more, please please.

Avleen Kaur M.

Thanks. I had a great experience working on this course.

C.Akhil K.

awesome learning experience. evryone should opt this course

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Big Data Foundation
₹9500*

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Time to Complete: 2 months

Admissions Closes: 19 November, 2018

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FAQ

    About the course
  • Why do I take up this Nanodegree?
    Using massive datasets to guide decisions is becoming more and more important for modern businesses. Hadoop and MapReduce are fundamental tools for working with big data. By knowing how to deploy your own Hadoop clusters, you’ll be able to start exploring big data on your own.
    With this Nanodegree, you will build your foundations in Hadoop and MapReduce. You will also learn how to deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.
  • What are prerequisites for this Nanodegree?
    You should have working knowledge of basic Python.
  • How is the Nanodegree Program Structured?
    This Nanodegree is of 2 months, which needs to be completed in the given time period. Your 2 months will start from the date you get access to your classroom.
  • Do you offer the opportunity for students to pause their studies for this program?
    No. The fixed-term nature of this Nanodegree program, and the need for maintaining a consistent and stable student body throughout, doesn't allow for offering the option to pause your studies.
  • Is this program self-paced?
    No. The start and end dates of this Nanodegree is fixed, and you must complete all assigned projects by the end dates. However, projects may be submitted at any time during the Nanodegree, and individual project deadlines are recommendations, not requirements. So within the Nanodegree, there is some opportunity to work at your own pace. You should plan to follow our recommended timeline, as this will best enable you to keep pace with your peers, and complete the program on time.
  • What kind of weekly time commitment should I expect?
    On average, we find students spending 10 hours per week throughout the entire Nanodegree, to complete this Nanodegree on time. This is an average so that some students may require more than the allotted time frame, or less.
  • Are deferments an option if I'm enrolled, but not ready to start yet?
    No, deferments are not an option. We ask that you, please make sure to only enroll for the Nanodegree if you can commit to the entire time frame.
  • Do I lose access to this Nanodegree once I graduate?
    No, you will not lose access to the content of this Nanodegree once you graduate. Your access will be there for the lifetime.
  • Does this Nanodegree provide Mentorship?
    Yes, you will be provided mentors to guide you throughout the Nanodegree.
  • Does this Nanodegree offer any trial period?
    No, this Nanodegree does not contain any trial period. We do have seven days no questions asked refund policy. You can pay for your Nanodegree and ask for a refund within seven days from the date you get access to your classroom.
  • Do you provide Scholarship for this Nanodegree?
    No, Currently there is no scholarship available for this Nanodegree. We will let you know when we come up with a scholarship for this Nanodegree. For more information on scholarships, please write to scholarships@udacity.com.
    Career Services
  • What career services we provide?
    This program does not focus on job preparation. While many of the skills you learn are foundational skills for a career in advanced technologies, the goal of the program is for you to master the core skills necessary so you can progress to the advanced curriculum.
  • Do I have access to Propel?
    Propel is the flagship Career Fair of Udacity in India. Only Advanced Job ready Nanodegree graduates have access to Propel. Through this initiative we connect our Nanodegree graduates to new-age technology companies and help them achieve their career goals.This is a foundation Nanodegree Program and the goal of the program is to build foundation skills in new-age technologies.
    Hence, Foundation Nanodegree Program Students do not have access to Propel.
    Student Support
  • What is the kind of student support I will get during this program?
    Project Reviews: The Project reviews provide deep analysis of a student's code and project. Reviewers are trained professionals that provide feedback on coding styles, industry guidelines, optimization of the code and reference links for improving the project.

    Mentorship: Mentors are appointed to students that have one on one chats with them. They keep track of the progress in the course, Help them in time management and keep them motivated throughout the course.
  • How can I get in touch with Udacity for any support?
    Please write to india@udacity.com for faster response
    Payments & Refunds
  • Do we get 50% refund for this Nanodegree?
    No, We do not offer 50% refund on completing of this Nanodegree.
  • Does this Nanodegree follow seven days No Questions Asked refund policy?
    Yes, this Nanodegree follows seven days no questions asked refund policy. Seven days are counted from the date you get access to your classroom.
  • If the refund is provided for this Nanodegree, How much time does the refund process take?
    The refund process takes up to 2-3 weeks of time. The amount will be refunded back to the original mode of payment. Udacity will not be able to process your refund in a different bank account.
  • How do I get my invoice?
    Please write to india@udacity.com anytime after 7 days from the classroom start date. Your invoice request will be processed within 15 days.
  • What if I do not receive my refund in 15-20 days?
    If you do not receive your refund within 15-20 days, please reach out to support@razorpay.com.

Big Data Foundation

Learn the basics of Hadoop, deploy Hadoop cluster and practice MapReduce (a big data programming tool invented by Google)

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