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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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Last Updated
March 2, 2021
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Certification
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
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- 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
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- 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
- RDBMS (SQL-based) 00:00:00
- Document Databases 00:00:00
- Key-Value Databases 00:00:00
- Columnar Databases 00:00:00
- Cassandra Overview 00:00:00
- Accessing Cassandra DataFrames from Cassandra 00:00:00
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ashar hafeez
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