Last updated 2/2020MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.37 GB | Duration: 4h 18m
Integrating Big Data Processing tools with Predictive Modeling and Visualization with Tableau Desktop What you'll learn Tableau Data Visualization PySpark Programming Data Analysis Data Transformation and Manipulation Big Data Machine Learning Geo Mapping with Tableau Geospatial Machine Learning Creating Dashboards Requirements Basic Understanding of Python 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 Big Data Analytics with PySpark + Tableau Desktop + MongoDB course. In this course we will be creating a big data analytics solution using big data technologies like PySpark for ETL, MLlib for Machine Learning as well as Tableau for Data Visualization and for building Dashboards.We will be working with earthquake data, that we will transform into summary tables. We will then use these tables to train predictive models and predict future earthquakes. We will then analyze the data by building reports and dashboards in Tableau Desktop.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.MongoDB is a document-oriented NoSQL database, used for high volume data storage. It stores data in JSON like format called documents, and does not use row/column tables. The document model maps to the objects in your application code, making the data easy to work with.You will learn how to create data processing pipelines using PySparkYou will learn machine learning with geospatial data using the Spark MLlib libraryYou will learn data analysis using PySpark, MongoDB and TableauYou will learn how to manipulate, clean and transform data using PySpark 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 Python Installation Lecture 3 Installing Apache Spark Lecture 4 Installing Java (Optional) Lecture 5 Testing Apache Spark Installation Lecture 6 Installing MongoDB Lecture 7 Installing NoSQL Booster for MongoDB Section 3: Data Processing with PySpark and MongoDB Lecture 8 Integrating PySpark with Jupyter Notebook Lecture 9 Data Extraction Lecture 10 Data Transformation Lecture 11 Loading Data into MongoDB Section 4: Machine Learning with PySpark and MLlib Lecture 12 Data Pre-processing Lecture 13 Building the Predictive Model Lecture 14 Creating the Prediction Dataset Section 5: Creating the Data Pipeline Scripts Lecture 15 Installing Visual Studio Code Lecture 16 Creating the PySpark ETL Script Lecture 17 Creating the Machine Learning Script Section 6: Tableau Data Visualization Lecture 18 Installing Tableau Lecture 19 Installing MongoDB ODBC Drivers Lecture 20 Creating a System DSN for MongoDB Lecture 21 Loading the Data Sources Lecture 22 Creating a Geo Map Lecture 23 Creating a Bar Chart Lecture 24 Creating a Magnitude Chart Lecture 25 Creating a Table Plot Lecture 26 Creating a Dashboard Section 7: Source Code and Notebook Lecture 27 Source Code and Notebook Python 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:
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