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    Hands-On PySpark for Big Data Analysis

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 449 3499

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 449  ₹3,499
    certificate availability

    Yes

    certificate providing authority

    Udemy

    What you will learn

    Knowledge of big data

    The syllabus

    Install PySpark and Setup Your Development Environment

    • The Course Overview
    • Core Concepts in Spark and PySpark
    • Setting Up Spark on Windows and PySpark
    • SparkContext, SparkConf and Spark Shell

    Getting Your Big Data into the Spark Environment Using RDDs

    • Loading Data onto Spark RDDs
    • Parallelization with Spark RDDs
    • RDD Operation Basics

    Big Data Cleaning and Wrangling with Spark Notebooks

    • Using Spark Notebooks for Quick Iteration of Ideas
    • Sampling/Filtering RDDs to Pick-Out Relevant Data Points
    • Splitting Datasets and Creating New Combinations with Set Operations

    Aggregating and Summarizing Data into Useful Reports

    • Calculating Averages with Map and Reduce
    • Faster Average Computation with Aggregate
    • Pivot Tabling with Key-Value Paired Data Points

    Powerful Exploratory Data Analysis with MLlib

    • Computing Summary Statistics with MLlib
    • Using Pearson and Spearman to Discover Correlations
    • Testing Your Hypotheses on Large Datasets

    Putting Structure on Your Big Data with SparkSQL

    • Manipulating DataFrames with SparkSQL Schemas
    • Using the Spark DSL to Build Queries for Structured Data Operations

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