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Mining data in R requires access to multiple data stores. Database Access in R is a hands-on, introductory-level course that explores dataframe manipulation, accessing common file formats, traditional Relational Databases, and NOSQL stores like MongoDB and Cassandra.

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March 2, 2021

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This course is approximately 40% hands-on lab to 60% lecture ratio, combining engaging lecture, demos, group activities and discussions with light machine-based practical programming labs and exercises. In this course you will learn about:

· Data Frames and Data Files in R

· Relational Databases

· RDBMS with RODBC

· Using dplyr

· Working with NOSQL Databases

· R and MongoDB

· R and Cassandra and DataFrames from Cassandra

Course Curriculum

    • Reading and Writing Tab and CSV files 00:00:00
    • Excel Spreadsheets 00:00:00
    • MS Access Files 00:00:00
    • Working with DataFrames 00:00:00
    • DataFrame tools 00:00:00
    • Merging and Joining DataFrames 00:00:00
    • Database CLIs with R (DBI, R/ODBC, R/JDBC) 00:00:00
    • SQLite 00:00:00
    • dplyr 00:00:00
    • ODBC drivers and the CLI 00:00:00
    • SELECT statements 00:00:00
    • INSERT statements 00:00:00
    • DELETE statements 00:00:00
    • UPDATE statements 00:00:00
    • DDL statements 00:00:00
    • DB Transactions 00:00:00
    • dplyr Features 00:00:00
    • Table verbs 00:00:00
    • Operations 00:00:00
    • Piping 00:00:00
    • RDBMS (SQL-based) 00:00:00
    • Document Databases 00:00:00
    • Key-Value Databases 00:00:00
    • Columnar Databases 00:00:00
    • MongoDB Overview 00:00:00
    • MongoDB and R 00:00:00
    • Mongo Queries 00:00:00
    • Cassandra Overview 00:00:00
    • Accessing Cassandra DataFrames from Cassandra 00:00:00

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