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    Program in R Language

    The Certificate Program in R Language at Veda IT is a targeted short-term course designed for individuals looking to master R, a highly popular programming language used extensively in statistical analysis, data visualization, and data science. This program is ideal for beginners and professionals in fields like research, data science, and academia who want to gain skills in data handling, statistical analysis, and visualizations using R.

    Who Should Join Program in R Language Course?

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      Job Switchers
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      Working Professionals
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      University Students
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      Entry-Level Candidates
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      Engineering Graduates

    Keyskills of Program in R Language Developer

    R developers should have a strong understanding of statistical concepts and data analysis techniques. Proficiency in R programming, including writing efficient scripts, handling data frames, and creating reusable functions, is essential. Skills in data visualization using libraries like ggplot2, lattice, or Shiny are valuable. Familiarity with machine learning techniques and packages such as caret or randomForest is beneficial. Knowledge of handling large datasets with dplyr and tidyr, as well as expertise in debugging and optimizing code performance, is crucial. Strong problem-solving abilities and the ability to work with structured and unstructured data make a well-rounded R programmer.

    Key Features
    • Covers data handling, statistical analysis, and data visualization.
    • Real-world projects and exercises to develop practical skills.
    • Learn from experienced data scientists and R programming experts.
    • Offline classes with optional online support.
    • Recognized certificate from Veda IT upon successful course completion.

    What you'll learn

    The Certificate Program in R Language at Veda IT is a targeted short-term course designed for individuals looking to master R, a highly popular programming language used extensively in statistical analysis, data visualization, and data science. This program is ideal for beginners and professionals in fields like research, data science, and academia who want to gain skills in data handling, statistical analysis, and visualizations using R. The curriculum covers essential programming principles, data manipulation techniques, and practical applications, providing hands-on experience with real-world data.

    Throughout the course, students engage in projects and assignments to apply their knowledge in data analysis, gaining skills in data transformation, visualization, and basic statistical methods. By the end of the course, graduates will have a solid foundation in R, making them well-prepared for roles in data analysis or further studies in advanced analytics and data science.

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    Modules Covered

    • Overview of R and Its Applications in Data Science
    • Setting Up R and RStudio
    • Basic Syntax, Data Types, and Operators
    • Data Structures in R (Vectors, Lists, Data Frames)
    • Control Structures (If Statements, Loops)
    • Writing Functions and Creating Reusable Code
    • Basic Coding Exercises

    • Data Importing (CSV, Excel, SQL)
    • Data Cleaning and Transformation with dplyr
    • Filtering, Sorting, and Grouping Data
    • Merging and Reshaping Data Frames
    • Handling Missing Values
    • Data Aggregation and Summarization
    • Mini Project: Data Cleaning and Analysis

    • Introduction to Data Visualization with Base R
    • Creating Advanced Visuals with ggplot2 (Bar, Line, Scatter, Histogram)
    • Customizing Plots (Labels, Titles, Colors)
    • Faceting and Multiplotting in ggplot2
    • Exploratory Data Analysis (EDA) Techniques
    • Reporting and Visual Storytelling with R Markdown
    • Mini Project: Data Visualization and EDA Report

    • Basic Descriptive and Inferential Statistics
    • Hypothesis Testing and Confidence Intervals
    • Correlation and Regression Analysis
    • Simple Predictive Models with R
    • Project Planning and Data Analysis in R
    • Final Project Presentation and Feedback

    Learning Path

    Basics of R Programming and Data Structures

    Learn R programming fundamentals, including syntax, variables, and core data structures.

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    Data Manipulation with dplyr

    Master data cleaning, transformation, and manipulation using the powerful dplyr package.

    Data Visualization with ggplot2

    Create stunning, customizable visualizations to represent data insights with ggplot2.

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    Statistical Analysis and EDA Techniques

    Perform statistical tests and exploratory data analysis to uncover trends and patterns.

    Mini Projects for Hands-On Experience

    Apply your R programming skills to practical mini projects solving real-world problems.

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    Resume Building and Career Guidance

    Build a professional resume and get expert career advice to launch your career in data analytics.

    Potential Roles

    • Junior Data Analyst
    • Research Analyst
    • R Programmer (Entry-Level)
    • Data Science Intern
    • Statistical Analyst
    • Market Research Analyst
    • Data Transformation Specialist
    • Start Date20/05/2025
    • Enrolled100
    • Lectures50
    • Skill LevelBasic
    • LanguageEnglish,Telugu
    • Quizzes10
    • CertificateYes
    • Pass Percentage100%
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    Certificate Program in R Language

    Upon successful completion of the Certificate Program in R Language, you will receive a certificate from Veda IT, validating your foundational skills in R programming, data manipulation, and statistical analysis.