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Python & R Programme Course Training in Johor

Travel with the twin passports of Python and R programming to the enchanting world of Data Science and Big Data Analytics.
  • 16 Hours Classroom & Live Online Sessions
  • 40+ Hours Assignments & eLearning
  • Complimentary Advanced Python & R e-learning
Python & R course review in Johor - 360digitmg
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Python & R course review in Johor - 360digitmg
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Start Date

Python and R Programme

python course duration in johor- 360digitmg

Total Duration

2 Months

python course pre-requisite - 360digitmg


  • Computer Skills
  • Basic Mathematical Concepts

Python & R Course Overview in Johor

This Python and R programming course in Johor gives you a rare opportunity to master two of the world's most popular programming languages. Comprising two halves, one devoted to Python and the other to R, this course will groom students to code for Website Development, Mobile App Development, Software Development, Data Analytics, Artificial intelligence and Machine Learning. Python programming is the fulcrum of any career in Data Science, Machine Learning, Deep Learning, Artificial Intelligence, and the Internet Of Things. This Python and R course is ideal for people with basic or no knowledge of Python. The module on Python begins with an introduction to Python and its GUI Anaconda. The various operations in Python packages and API's are elaborated for common knowledge. The various data types and functions also find mention. The course lends focus to error handling in Python. The use of Python in Data Analytics is the focal point of the next module. Creating visualizations in Python for graphics is delineated. The course concludes with the various Artificial Intelligence and Machine Learning packages supported by Python and use cases in Machine Learning Algorithms.

The module on R initiates with an introduction to R and RStudio (GUI). The various operations in R, R scripts and execution, packages, data types, R functions feature as topics in the succeeding modules. Error handling and Data Analytics using R are elaborated in-depth. Creating visualizations in R and various Machine Learning and AI packages in R feature in the concluding modules in the best Python and R course in Malaysia.

What is Python?

Globally Python is placed among the top 5 most popular programming languages. It is recognized as a high level, an object-oriented programming language that is normally interpreted. A great hit with the coding populace, due to its clear syntax and readability, Python can be extended using C or C++ languages.

Python extends the comfort of working with readable and maintainable code and provides custom applications without explicitly writing extra code. The readable code is easy to maintain. Python supports object-oriented programming and structured programming giving great opportunities for programmers to develop large and complex software.

Python works with multiple operating systems. Therefore a programmer can run the same code on different platforms without recompilation. Python has a large robust library and open source framework and tools that reduce development cost significantly. Python allows the programmer to develop code and perform tests simultaneously with its test-driven development approach.

Python is used in Web and Internet Development, scientific and numerical computing, creating GUI's, building ERP and E-commerce systems, and software development. It finds wide use in Data Analytics, Data Science, Machine Learning, and Artificial Intelligence.

What is R?

R is essentially a programming language with wonderful features that offer a wide variety of statistical techniques like linear and non-linear modeling, time-series analysis, statistical test, clustering, and graphical techniques.

The R Ecosystem

R is the language of Data Science, it’s free and open-source and has a great community with 9000+ packages. It consists of a wide range of software that facilitates computation, data control, graphical display and can efficiently manoeuvre and store large amounts of data. R also delivers a number of operators for calculation on arrays and matrices. In the package, we will also find a large number of integrated tools for data analysis and graphical data analysis and display tools as well. It would not be wrong to say that R is not only a simple but effective programming language.

This programming language is used by Data Scientists, Statisticians, and researchers to gather, scrub, analyze, and visualize data. It is commonly used in Data Analysis, Statistical Computing, Machine Learning algorithms, and scientific research.

Python & R Training Learning Outcomes

This Python and R programming course attempts to train students in the basic usage of Python and R in software development. In this course in Malaysia, students will effortlessly code programs in Python, and R. They will learn to work effortlessly with various R and Python data types. Due importance is given to the structure and components of the GUIs in Python and R - Anaconda and R Studio. All participants will learn how to write functions in Python and R and will learn about the various packages. They will also become proficient in employing Python and R for Data Analytics in the best Python and R training institute in Malaysia. By the end of the training students will be able to construct and implement basic programs and algorithms in Python and in R. They will be able to employ the external libraries with Python and will be efficient in using elementary programming techniques of R like import/export of data from file or Internet, create user-defined functions and manipulate data structures. A separate module is devoted to enabling visualization in Python and R. The deployment of Python and R to build machine learning algorithms and AI packages is also explained in great detail.

Understand the basic usage of Python and R for software development
Code programs in Python and R
Get trained in various R and Python data types
Understand the structure and components of R and Python GUI tools
Write functions and pass arguments to programs
Learn about packages and their applications in R and Python
Read and write data/files for processing
Troubleshoot in R and Python

Block Your Time

data science course - 360digitmg

16 hours

Classroom Sessions

data science course - 360digitmg

40 hours


data science course - 360digitmg

40 hours

2 Live Projects

Who Should Sign Up?

  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data Engineers
  • Banking and Finance Analysts
  • Marketing Managers
  • Supply Chain Professionals
  • HR Managers
  • Math, Science and Commerce Graduates

Python & R Course Modules in Johor

The Python modules commence with an introduction to the Python language, installation, and Linux, Mac, Windows distribution for Anaconda Python. A full module is devoted to Python built-in data types such as numeric, int, float, etc.., containers, text sequences, exceptions, instances, classes, and modules. The various operators and loop and control statements are explained. OOPS, concepts that are integrated with Python are also detailed. Important concepts in OOPS like polymorphism, inheritance, encapsulation are described in-depth with cases. The various functions in Python, their return types, parameters, and lambda expressions are also detailed. Arrays, matrices, and importing the NumPy module are dealt with separately. The SciPy package and its link to Bayes Theorem find mentions. Matplotlib that is used to plot graphs and charts in Python is also included in the course. Pandas and its use in Data Analytics and Machine Learning Algorithms are also handled with care. An entire module is devoted to handling exceptions. The concluding modules deal with modules, functions, AI, and ML packages in Python.

The R module centers mainly around the various data types and functions used in R and its GUI, R Studio. The various R functions, R package structure, CRAN, vector creation are contained in a separate module. Due importance is given to R functionality, sorting data frames, transpose, and stack function. Students will learn matrices and vectors and functions associated with them. The use of R in data analytics is illustrated separately. Exception handling and visualization feature importantly in two modules. And finally, the various Machine Learning and Artificial Intelligence packages are explored in depth in the best Python and R programming course in Malaysia.

In the tutorial, you will learn the very popular Python Programming. The course is designed to help people with basic or no knowledge of programming. Python is a high level, generic purpose open-source programming which is being used by various sectors to develop/test applications. Almost all the emerging trends and technologies require people who can analyze data. Our hands-on training will make sure that the participants gain good exposure to writing programs in Python. Python Programming is slowly becoming pivotal for building successful careers in trending areas like Data Science, Machine Learning, Deep Learning, Artificial Intelligence, IoT, etc.

  • Introduction to Python programming Language
  • Installation of Python and Anaconda (GUI)
  • Python Operations
  • Python Packages
  • Python Data Types
  • Python Functions – In-Built and Custom Functions
  • Error Handling
  • Data Analytics
  • Visualization in Python
  • Machine Learning and AI packages

The statistical programming R is used to develop Machine Learning algorithms. R is a high-level language based on functional oriented concepts. R programming has an expressive syntax, It uses a different syntax from other common programming languages. It is a very easy interface and easy for troubleshooting. R is built on top of the language S, which was originally developed for analyzing the data. As part of the tutorial, you will learn how R deals with data using vectors, lists, data frames, tables, matrices, and other data structures, to perform analysis on the data.

  • Introduction to R programming Language
  • Installation of R and RStudio (GUI)
  • Operations in R
  • R Scripts and Executions
  • Packages in R
  • Data Types in R
  • R functions – In-Built and Custom Functions
  • Error Handling
  • Data Analytics
  • Visualization in R
  • Machine Learning and AI packages
How We Prepare You
  • Python & R course in Johor
    Additional Assignments of over 40 hours
  • Python & R course in Johor
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    6 Months Access to LMS
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    24/7 Support
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    Complimentary Courses
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    Unlimited Mock Interview and Quiz Session
  • Python & R course in Johor
    Hands-on Experience in a Live Project
  • Python & R course in Johor
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