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Development Data Science Python

Apache Spark 2.0 + Python : DO Big Data Analytics & ML

Project Based, Hands-on Practices, Spark SQL, Spark Streaming, Real life Full cycle Project
Rating: 3.7 out of 53.7 (350 ratings)
2,326 students
Created by V2 Maestros, LLC
Last updated 1/2017
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Acquire Knowledge of Apache Spark 2.0 fundamentals and architecture
  • Write Spark 2.0 scripts for Transformations, actions, Spark SQL and Spark Streaming
  • Execute Machine Learning / Data Science algorithms
  • Solve real world data problems with Apache Spark 2.0
  • Handle interviews for Apache Spark 2.0 confidently and get jobs

Course content

8 sections • 58 lectures • 7h 17m total length

  • Preview02:54
  • Preview03:37
  • Preview06:59
  • Resource Bundle - Code and Data
    00:02

  • Start your Spark engines
    07:58
  • <train/> Setup your Spark / Python environment
    11:29
  • <train/> Run your first Spark Program !
    05:36
  • Apache Spark eco-system
    06:11
  • RDD : The foundation of Spark
    05:15
  • Spark Architecture - How it all works.
    11:09
  • Preview04:01
  • Spark Architecture
    5 questions

  • Loading and Storing Data
    08:41
  • <train/> Loading and Storing Data
    07:46
  • @Practice() Loading and Storing Data
    00:12
  • Transformations - Change how data looks
    09:41
  • <train/> Transformations
    14:33
  • @Practice() Transformations
    00:06
  • Actions - Extract insights from Data
    08:39
  • <train/> Actions
    07:30
  • @Practice() Actions
    00:03
  • Key-Value RDDs
    04:16
  • <train/> Key-Value RDDs
    07:10
  • @Practice() Key-Value RDDs
    00:06
  • Advanced Spark
    10:42
  • <train/> Advanced Spark - Enhanced Capabilities
    06:37
  • @Practice() Advanced Spark
    00:08

  • Spark SQL Data Frames - the new era
    07:53
  • <train/> SQL Data Frames
    11:18
  • @Practice() SQL Data Frames
    00:17
  • Temp Tables / Views - Easy querying
    02:42
  • <train/> Temp Tables / Views
    05:04
  • @Practice() Temp Tables/ Views
    00:05

  • Spark Streaming - real time data processing
    05:14
  • Spark Streaming Architecture - how it works.
    06:44
  • <train/> Spark Streaming
    10:35

  • Types of Analytics - simple to predictive
    12:08
  • Types of Machine Learning
    17:16
  • Analyzing results and Errors
    13:46
  • Spark ML Concepts - new data types
    08:09
  • Linear Regression - fit to a line
    19:00
  • <train/> Linear Regression Use Case
    17:15
  • Decision Trees Classification
    10:42
  • <train/> Decision Trees Use Case
    12:20
  • Principal Component Analysis
    07:28
  • Random Forest Classification
    10:31
  • <train/> Random Forests and PCA Use Case
    14:00
  • Text Pre-processing with TF-IDF
    14:53
  • Naive Bayes Classification
    19:21
  • <train/> Naive Bayes and Text Pre-processing Use Case
    07:32
  • K-Means Clustering - grouping similar items
    11:53
  • <train/> K-Means Clustering Use Case
    09:22
  • Recommendation Engines
    11:55
  • <train/> Recommendation Engines Use Case
    05:03

  • Real world problem Statement - Credit Card defaulters
    00:02
  • Hints to help you with the project
    00:03
  • Final Solution Review - we did it !
    12:30

  • Closing Remarks
    01:15
  • BONUS Lecture - Your next steps & Discount coupons
    00:05

Requirements

  • Python programming
  • Have a laptop/desktop to setup Spark

Description

Welcome to our course. Looking to learn Apache Spark 2.0, practice end-to-end projects and take it to a job interview? You have come to the RIGHT course! This course teaches you Apache Spark 2.0 with Python, trains you in building Spark Analytics and machine learning programs and helps you practice hands-on with an end-to-end real life application project. Our goal is to help you and everyone learn, so we keep our prices low and affordable.

Apache Spark is the hottest Big Data skill today. More and more organizations are adapting Apache Spark for building their big data processing and analytics applications and the demand for Apache Spark professionals is sky rocketing. Learning Apache Spark is a great vehicle to good jobs, better quality of work and the best remuneration packages.

The goal of this project is provide hands-on training that applies directly to real world Big Data projects. It uses the learn-train-practice-apply methodology where you

  • Learn solid fundamentals of the domain
  • See demos, train and execute solid examples
  • Practice hands-on and validate it with solutions provided
  • Apply knowledge you acquired in an end-to-end real life project

Taught by an expert in the field, you will also get prompt response to your queries and excellent support from Udemy.

Who this course is for:

  • Software Professionals
  • Big Data Architects
  • Data Engineers

Instructor

V2 Maestros, LLC
Big Data / Data Science Experts | 50K+ students
V2 Maestros, LLC
  • 4.1 Instructor Rating
  • 3,457 Reviews
  • 72,458 Students
  • 8 Courses

V2 Maestros is dedicated to teaching big data / data science courses to students all over the world.  Our instructors have real world experience practicing big data and data science and delivering business results. Big Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building Big Data and Data Science talent across the world.

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