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NoSQL, Big Data, and Spark Foundations Coursera

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Master fundamentals of NoSQL, Big Data, and Apache Spark with hands-on job-ready skills in machine learning and data engineering. This NoSQL, Big Data, and Spark Foundations program course is offered by Coursera in partnership with IBM.

Overview

This NoSQL, Big Data, and Spark Foundations program course is offered by Coursera in partnership with IBM.

What you'll learn

  • Work with NoSQL databases to insert, update, delete, query, index, aggregate, and shard/partition data.

  • Develop hands-on NoSQL experience working with MongoDB, Apache Cassandra, and IBM Cloudant.

  • Develop foundational knowledge of Big Data and gain hands-on lab experience using Apache Hadoop, MapReduce,  Apache Spark, Spark SQL, and Kubernetes.

  • Perform Extract, Transform and Load (ETL) processing and Machine Learning model training and deployment with Apache Spark.

Skills you'll gain

  • Machine Learning
  • Big Data

Programme Structure

Courses included:

  • Introduction to NoSQL Databases
  • Introduction to Big Data with Spark and Hadoop
  • Machine Learning with Apache Spark

Key information

Duration

  • Part-time
    • 1 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • The courses in the specialization require that you have basic computer and data literacy skills, as well as some programming background with languages such as with Python and SQL.  No prior knowledge or experience of Big Data and NoSQL is required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

  • This short course is included with Coursera Plus subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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