Data Analysis with R Programming - Begginer
Objective
The objective of this course is to extract meaningful insights from data by applying computational techniques. Transform raw data into a structured format by handling missing values, outliers, and inconsistencies. This course allows you to create your own function to perform specific task.
Target Audience
Students who have done Bachelor of Technology (CS/IT), Bachelor of Computer Applications (BCA), Bachelor of Science in Information and Technology (B.Sc IT), Master of Computer Applications (MCA), Master of Science in Computer Science (M.Sc CS), Master of Science in Information and Technology (M.Sc IT) and professionals seeking a future in IT Industry.
Duration of Course
8 weeks
Credit Weight
2 Credits
Certificate
The participants will be provided with a certificate upon successful completion of the course.
Career Advancement
Progressing with this course has a lot of career benefits. A professional can opt for roles such as Data Analyst or Research Analyst, R programmer at beginner level. The demand for related professionals in diverse. Several industries like Finance, Healthcare, Marketing, Academia etc are persistently hiring for R professionals.
Module - 1 Introduction to R Programming
- Overview of R and its applications
- Installing R and RStudio (IDE)
- Understanding the R environment (Console, Script, Workspace)
- Basic R commands and syntax
- Introduction to R packages and CRAN (Comprehensive R Archive Network)
Module - 2 - Data Types and Structures in R
- Numeric, Character, Logical, Complex, and Factor
- Vectors, Matrices, Lists, Data Frames, Arrays
Module - 3 Operation in R
- Arithmetic Operations
- Relational and Logical Operators
- Variable Assignment and Manipulation
- Basic Functions
Module - 4 Data Import and Export
- Reading Data
- Writing Data
Module - 5 Data preprocessing techniques in R
- Remove Missing Values
- Data Type Conversion
- Creating New Variables
- Recoding Variables
- Handling Outliers
Module - 6 Control structures and Loop
- if, else if, else
- for loop
- while loop
- Using break and next in loops
Module - 7 Functions in R
- Defining user functions in R
- Function arguments, default values, and return values
- Scope of variables in functions
Module - 8 Practical Application of R Programming
- Apply learned skill to a practical project using real world business data.
Learning Management System (LMS) Panel:
- Lifetime Access: Students can log in securely at any time.
Course Features
- Live Online Classes: Engage in real-time sessions with instructors
- Interactive Sessions: Participate in discussions and Q&A to enhance learning.
- Practical Sessions: Apply concepts through hands-on activities.
- Class Recordings: Access recordings of live classes for review at your convenience
- Self-Learning Videos: Benefit from pre-recorded videos to reinforce learning.
- Digital Course Materials: Receive a soft copy of all course content.
- Assignments: Complete practical assignments to apply your knowledge.
- Practice Assessments: Test your understanding with practice quizzes.
- Final Assessment: Evaluate your overall progress with a comprehensive exam.