Data Science in R Programming

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.

No. of Courses :
08
Rating


Reviews :
137
Students Enrolled :
146

Sana Rasheed

Trainer

Her Ph.D from the University of Nicosia, Cyprus in Blockchain is in progress.
5 Courses

Dr. Zeeshan Ul Hassan Usmani

Founder & Trainer

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


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.

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:

What Skills Will You Gain?

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 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:
    • Watching and tracking videos
    • Progress monitoring,
    • Attempting quizzes,
    • Submitting assignments,
    • Asking questions from the teachers and mentors

Course Curriculum



Course Title Duration Tools Learning Outcomes
Introduction of Data Science 1 – 1.5 month - 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 1 – 1.5 month R, RStudio, Git, Github Student will able to write code in R programming language and can start data science projects.
Data Collection and Data Wrangling 1 – 1.5 month Dplyr, Tidyr, Tidyverse, R, RStudio, Git, Github Student will able to write code in R programming language and can start data collection, cleansing and data transformation.
Exploratory Data Analysis 1 – 1.5 month base graphs, lattices, ggplot2, R, RStudio, Git, Github, Kaggle Student will able to perform data analysis and start participating on Kaggle at basic level.
Machine Learning: Supervised Learning 1 month Regression, Classifications, Model Evaluation Techniques, caret, forests, R, Studio, Git, Github, Kaggle Student will able to create supervised learning models, evaluate them and start participating in Kaggle competitions at basic level.
Machine Learning: Unsupervised Learning 1 month Clustering, Dimension Reduction,Model Validation,R, RStudio, Git, Github, Kaggle Student will able to create unsupervised learning models, evaluate them and start participating in Kaggle competitions at basic level.
Capstone Project 1 month R, RStudio, Git, Github, Kaggle 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 0.5 – 1 month D3, Plotly, R, RStudio, Git, Github, Kaggle Student will be equipped with knowledge of basic ingredients of data visualization and storytelling.

$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

Social proof: reviews

1- R Programming

Saleem Ashiq

Teaching Method and Learning, Sister Sana is a very good instructor. I have learned a lot of things through this course, My learning journey is slow because I have no background in programming. But sometimes lectures of Sister Sana are not very clear.

Teaching Method and Learning, Sister Sana is a very good instructor. I have learned a lot of things through this course, My learning journey is slow because I have no background in programming. But sometimes lectures of Sister Sana are not very clear.

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1- Introduction to Data Sciences

salma shoukat

futuristic

futuristic

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2- Introduction to Data Sciences

Dawood Raza

very well

very well

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3- Introduction to Data Sciences

Muhammad Yasin

Excellent, Best for beginners

Excellent, Best for beginners

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Introduction to Data Sciences

Ahmer Bin Aziz

Assslam o alikum .. Life-Changing Course, This course is the one the best course for me This course will change my life in sha Allah! : )

Assslam o alikum .. Life-Changing Course, This course is the one the best course for me This course will change my life in sha Allah! : )

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6- Introduction to Data Sciences

Arshad Ali

Good

7- Introduction to Data Sciences

Sajad Afzal

Data science is all about using data to solve problems in real life.

Data science is all about using data to solve problems in real life.

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8- Introduction to Data Sciences

Aamir Patni

very interesting

very interesting

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10- Introduction to Data Sciences

Zahid Riaz

Open a new world for me. Complete introductory and comprehensive course. introduce all aspects of data Science Hand on experience

Open a new world for me. Complete introductory and comprehensive course. introduce all aspects of data Science Hand on experience

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