Data Science in R Programming


This Course is available in following languages
Urdu | English | Spanish | Arabic | Bangla | Guajrati | French | Pashtu |

Target Audience

R programming is the 'golden child' of data science. If you want to become a top-tier data scientist, then learning R is crucial. With an estimated 2+ million users, R is a powerful scripting language used by data scientists all over the world. Whether you’re experienced or brand new to programming, this course is a stepping stone for you to learn data science through R programming.

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$32.00 per year

Resident Pakistani

  • using Debit/Credit Card
PKR 5000per year

Resident Pakistani

  • using Bank Transfer/Easypaisa
$125.00 per year

Overseas Pakistanis

  • using Debit/Credit Card
$125.00 per year

Other Nationalities

  • using Debit/Credit Card

  • About This Course

    In this comprehensive course, you'll master the foundations of R programming language. You'll learn basic data types, operations, control structures, loop functions, data splits and additional resources related to data science. Upon the successful completion of this source you'll be able to get, clean, and explore data by conducting reproducible research through data programming in R. This course is 100% online. Notes are provided and you're also given access to group learning and Q/A community.

    Course Delivery Mode

    The training will be delivered online via our alnafi.com portal, which is designed to cater 50 Million Nafi members. The portal has all the key features like:

  • What you will learn

    Learning data science through R programming is easy. A solid foundation guarantees you an entry into more complex data science learning pathways. This introductory course sets you on a rewarding career of data science by teaching you some core data concepts such as:

    • Data Types
    • Control Structures
    • Coding Standards
    • Vectorized Operations
    • Date and Time
    • Loop Functions
    • Installation Guides
    • Matrices
    • Factors
  • What Skills Will You Gain?

    • Data Science
    • Data Cleansing
    • Cluster Analysis
    • Machine Learning
    • Github
    • Data Analysis
    • Debugging
    • Data Manipulation
    • R Programming
    • Exploratory Data Analysis
    • R studio
    • Regular Expression (REGEX)

    Earning Potentials

    The average salary for an ‘R programmer’ ranges from $75,102 to $125,122 annually. (Indeed) According to Spectrum Survey conducted by IEEE, R ranks 7th among the top 10 Programming Languages. (House of Bots)

Course Curriculum

  • Introduction of Data Science - by Dr Zeeshan
    Duration: 1 – 1.5 month
    On Completion:Student will able to understand what problems DS can solve; basic structure of data science life cycle and tools that needs to be learned.


    R Programming
    Duration: 1 – 1.5 month
    Tools: R, RStudio, Git, Github
    On Completion: Student will able to write code in R programming language and can start data science projects.


    Data Collection and Data Wrangling
    Duration: 1 – 1.5 month
    Tools& Techniques: Dplyr, Tidyr, Tidyverse, R, RStudio, Git, Github
    On Completion: Student will able to write code in R programming language and can start data collection, cleansing and data transformation.


  • Exploratory Data Analysis
    Duration: 1 – 1.5 month
    Tools & Techniques:base graphs, lattices, ggplot2, R, RStudio, Git, Github, Kaggle
    On completion: Student will able to perform data analysis and start participating on Kaggle at basic level.


    Machine Learning: Supervised Learning
    Duration: 1 month
    Tools & Techniques:Regression, Classifications, Model Evaluation Techniques, caret, forests, R, Studio, Git, Github, Kaggle
    On completion: Student will able to create supervised learning models, evaluate them and start participating in Kaggle competitions at basic level.


  • Machine Learning: Unsupervised Learning
    Duration: 1 month
    Tools & Techniques:Clustering, Dimension Reduction,Model Validation,R, RStudio, Git, Github, Kaggle
    On completion: Student will able to create unsupervised learning models, evaluate them and start participating in Kaggle competitions at basic level.

    Capstone Project Duration: 1 month
    Tools: R, RStudio, Git, Github, Kaggle
    On Completion: Student will able to process complete data science lifecycle based on supervised or unsupervised learning models, evaluate them and are ready to participate in Kaggle competitions.

    Data Visualization
    Duration: 0.5 – 1 month
    Tools: D3, Plotly, R, RStudio, Git, Github, Kaggle
    On Completion: Student will be equipped with knowledge of basic ingredients of data visualization and storytelling.


Instructors

Sana Rasheed

Instructor
Trainer

Ph.D.* from the University of Nicosia, Cyprus in Blockchain.
5 Courses

Dr. Zeeshan Ul Hassan Usmani

Instructor
Founder & Trainer

Ph.D. and MS in Computer Science from the Florida Institute of Technology.
5 Courses