IT Expert System | Software Programming [R, Java, Python]

Data researcher needs to pre-process the large data before they visualize the data and/or find the data patterns, based on data patterns they perform data predictions. Using Java, Python and R programming language, Analyst can write custom user define functions and perform ETL Jobs. Programming skill help students to automate the data cleansing, processing and transformation logic.

Database Administration

E-Commerce

Course Content

Java - Programming
- Introduction to Programming
- Variable, Data Types
- Complex Data Types
- Conditional Statement (IF, Switch)
- Loops (For, While, Do While)
- Array
- File I/O
- Java Util
- UML [Unified Modeling Language]
- OOP Concepts [Object Oriented Programming]
- JDBC [Java Database Connection]
- Exceptions
- Thread

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R - Programming
- R for Data Analysis will introduce you to data manipulation in R programming. You will learn about analysis, manipulating data and grouping it to prepare the data. You will also learn how to take data you prepared and present it on visualizations.
- Vector creation
- Data types and Structures
- Data Statistics
- Data Frame
- Programming Structures, Functions, and Data Relationships
- R Functions
- Linear Programming
- Data Analysis
- Exploring and Visualizing Data

Python - Programming
- Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. Unlike any other Python tutorial, this course focuses on Python specifically for data science.
- Data Types
- Variables
- String operations
- Control Statements
- Loops
- Functions
- File operations
- NumPy functions
- SciPy functions
- Pandas functions
- Graphics functions