Last updated 4/2020MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.04 GB | Duration: 2h 55m
R for Big Data Processing and Predictive Modeling including Visualization with Tableau Desktop What you'll learn Tableau Data Visualization R Programming Data Analysis Big Data Machine Learning Geo Mapping with Tableau Geospatial Machine Learning Creating Dashboards Requirements Basic Understanding of R Programming Little or no understanding of GIS Basic understanding of Programming concepts Basic understanding of Data Basic understanding of what Machine Learning is Description Welcome to the Building Big Data Pipelines with R & Sparklyr & Tableau course. In this course we will be creating a big data analytics solution using big data technologies for R.In our use case we will be working with raw earthquake data and we will be applying big data processing techniques to extract transform and load the data into usable datasets. Once we have processed and cleaned the data, we will use it as a data source for building predictive analytics and visualizations.Tableau Desktop is a powerful data visualization tool, used for big data analysis and visualization. It allows for data blending, real- analysis and collaboration of data. No programming is needed for Tableau Desktop, which makes it a very easy and powerful tool to create dashboards apps and reports.Sparklyr is an open-source library that is used for processing big data in R, by providing an interface between R and Apache Spark. It allows you to take advantage of Spark's ability to process and analyze large datasets in a distributed and interactive manner. It also provides interfaces to Spark's distributed machine learning algorithms and much more.You will learn how to create big data processing pipelines using RYou will learn machine learning with geospatial data using the Sparklyr libraryYou will learn data analysis using Sparklyr, R and TableauYou will learn how to manipulate, clean and transform data using Spark dataframesYou will learn how to create Geo Maps in Tableau DesktopYou will also learn how to create dashboards in Tableau Desktop Overview Section 1: Introduction Lecture 1 Introduction Section 2: Setup and Installations Lecture 2 R Installation Lecture 3 Installing Apache Spark Lecture 4 Installing Java (Optional) Lecture 5 Testing Apache Spark Installation Lecture 6 Installing Sparklyr Section 3: Building the Big Data ETL Pipeline with Sparklyr Lecture 7 Data Extraction Lecture 8 Data Transformation Lecture 9 Data Exporting Section 4: Big Data Machine Learning with Sparklyr Lecture 10 Data Pre-processing Lecture 11 Building the Predictive Model Lecture 12 Creating the Prediction Dataset Section 5: Data Visualization with Tableau Lecture 13 Installing Tableau Lecture 14 Loading the Data Sources Lecture 15 Creating a Geo Map Lecture 16 Creating a Bar Chart Lecture 17 Creating a Donut Chart Lecture 18 Creating the Magnitude Chart Lecture 19 Creating the Dashboard Section 6: Project Source Code Lecture 20 Source Code R Developers at any level,Data Eeers at any level,Developers at any level,Machine Learning eeers at any level,Data Scientists at any level,GIS Developers at any level,The curious mind HomePage:
TO MAC USERS: If RAR password doesn't work, use this archive program:
RAR Expander 0.8.5 Beta 4 and extract password protected files without error.
TO WIN USERS: If RAR password doesn't work, use this archive program:
Latest Winrar and extract password protected files without error.