Learn the skill of the decade that’s been gaining tremendous popularity every day, i.e., data science, and how to implement it using the widely used, and robust statistical programming language R in Arabic with this certification course by GUVI.
Learn the skill of the decade that’s been gaining tremendous popularity every day, i.e., data science, and how to implement it using the widely used, and robust statistical programming language R in Arabic with this certification course by GUVI.
Master all the fundamental concepts of data science using R in Arabic and learn how to gather, transform, manipulate, analyze, and visualize vast amounts of raw data in this R programming for a data science course in Arabic. In this course, you will learn how to use R and various other data tools in order to effectively analyze data from multiple different sources, clean transform data, perform data visualization, analyze data, and be able to draw meaningful insights from it. After this course, you will also be able to implement various machine-learning techniques and gain a globally recognized certificate indicating your job readiness.
Master all the fundamental concepts of data science using R in Arabic and learn how to gather, transform, manipulate, analyze, and visualize vast amounts of raw data in this R programming for a data science course in Arabic. In this course, you will learn how to use R and various other data tools in order to effectively analyze data from multiple different sources, clean transform data, perform data visualization, analyze data, and be able to draw meaningful insights from it. After this course, you will also be able to implement various machine-learning techniques and gain a globally recognized certificate indicating your job readiness.
Key Features:
Globally Recognised Certification
100% online and Self-paced learning
Full lifetime access to all content
Access to 4 Gamified Practise Platforms
Dedicated Forum Support to clear all your doubts
7 Days refund Policy
Topics you will learn
Beginner Module
Basics of Data science
Introduction to Big data
Application of Big data Analytics
Introduction to R
In-Built functions in R
Basics of Statistics
Hypothesis testing
Statistical tests
Some more inbuilt functions in R
Statistical operations in R
Plotting in R
Basics of Machine learning
simple linear regression theory
Simple linear regression in R
Multiple linear regression theory
Multiple linear regression in R
Intermediate Module
Logistic regression
Metrics in logistic regression
Logistic regression model in R
Logistic regression metrics in R
Decision tree
CHAID
Random Forest
Random forest in R
Introduction to Clustering
Introduction to K-Means clustering
K-Means in R
Course Offerings
Certificate you will get
IITM Pravartak certified Python certification.
Certificates are globally recognized & they upgrade your programming profile.
Certificates are generated after the completion of course.
After this Course
Understand and implement data science fundamentals using R.
Write and implement code in the R programming language.
Learn about various statistical distributions and their importance.
Perform data analysis with data from multiple sources and formats in R.
Be able to visualize data and draw meaningful insights from it.
Work with various machine learning techniques such as supervised and unsupervised learning.
Pre Requsites
Basic knowledge of data science and coding with R.
Knowledge of a few statistical techniques is a huge plus.
Course is for
Freshers
Professionals
Students
FAQ's
What is data science with R?
R is an open-source programming language that is mainly used for statistical modeling and as a data analysis tool. In data science, R programming is used to handle, store and analyze data to extract meaningful information from it. That information helps make business-critical decisions for all kinds of organizations.
Why learn Data Science using R in Arabic?
R is an advanced programming language that is used to perform complex statistical modeling, it consists of various packages as well as libraries that provide interactive graphics making the visualization, analysis, and representation of data easy. It also provides support for operations on matrices, arrays, and vectors. Hence, it is the primary choice of data scientists as it has static graphics capable of generating high-quality data visualizations.
What is Data Science used for?
Data rules the tech world today. Data Science is used to extract meaningful information from large amounts of data using various techniques such as artificial intelligence and machine learning among others. This extracted information is used vigorously to make business-critical decisions in organizations. Thus, due to its immense importance, it is used in various industries like finance, transport, e-commerce, education, manufacturing, etc.
Why is Data Science so popular?
The field of data science has become so popular because it enables organizations to efficiently process and interpret data from multiple sources and draw valuable insights from it. These insights are used to make informed business decisions, predict trends, drive growth, and push performance. Hence, as more companies started to deal with Big Data, they realized they required professionals that could efficiently combine analytics, experimentation, and programming skills, increasing the demand for data scientists.
Who can learn Data Science?
Anybody interested in data and wishing to work with it can take up Data Science. You need to be prepared to work hard at mastering the basics and implementing them via various projects. People from all sorts of backgrounds, be it a coding or non-coding background can opt to learn Data Science and can excel at it given that they use the right approach.
