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From 0 To 1 - Spark For Data Science With Python

Simpliv

1 days
Duration
10 USD/full
10 USD/full
Unknown
Tuition fee
Unknown
Unknown
Apply date
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Unknown
Start date

About

Gain the advantage of learning Spark for Data Science with Python from a team of highly accomplished technical experts who have worked in premium global companies with From 0 To 1 - Spark For Data Science With Python at Simpliv.

Overview

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data. From 0 To 1 - Spark For Data Science With Python is offered at Simpliv.

Get your data to fly using Spark for analytics, machine learning and data science 

Let’s parse that.

  • What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.
  • Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease. 
  • Machine Learning and Data Science : Spark's core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We'll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets. 

Programme Structure

Curriculum:

  • Advanced ADDS: Pair Resilient Distributed Datasets
  • Advanced Spark: Accumulators, Spark Submit, MapReduce ,
  • Java and Spark
  • PageRank: Ranking Search Results
  • spark SQL
  • MLIib in Spark Build a recommendations engine
  • Spark Streaming

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

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

English requirements

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

Other requirements

General requirements

  • The course assumes knowledge of Python. You can write Python code directly in the PySpark shell. If you already have IPython Notebook installed, we'll show you how to configure it for Spark
  • For the Java section, we assume basic knowledge of Java. An IDE which supports Maven, like IntelliJ IDEA/Eclipse would be helpful
  • All examples work with or without Hadoop. If you would like to use Spark with Hadoop, you'll need to have Hadoop installed (either in pseudo-distributed or cluster mode).

Tuition Fee

To alway see correct tuition fees
  • International

    10 USD/full
    Tuition Fee
    Based on the tuition of 10 USD for the full programme during 1 days.
  • National

    10 USD/full
    Tuition Fee
    Based on the tuition of 10 USD for the full programme during 1 days.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

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From 0 To 1 - Spark For Data Science With Python
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