Certificate Course in
Exclusive Python & R Programme For Beginners
- 16 Hours Classroom & Live Online Sessions
- 40+ Hours Assignments & eLearning
- IBM Digital Certificates and Badges
- Complimentary Advanced Python & R e-learning
Python and R Programme
- Computer Skills
- Basic Mathematical Concepts
"Digital data is projected to grow to 180 zettabytes posing a huge demand for data analysts by 2025. In Malaysia, entry-level junior data analysts earn around RM 5000 to RM 5000 per month." - (Source). In the last decade, Python has overshadowed its rivals and has emerged as the IT industry favourite. So the demand for a Python certification has increased worldwide. Python stands first in Github rankings for programming languages. Python has replaced Java as the most popular coding language in colleges and coding communities in Malaysia. Kuala Lumpur alone has close to 890 start-ups with dier need for Python developers supplemented with 490 job openings for them. So the total demand in Malaysia will be a substantial figure. Most academic researchers prefer R in Malaysia while professional companies choose Python. Shiny has made R more popular.
Python & R Certification Course Overview
This Python and R programming course in Malaysia 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.
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Who Should Sign Up?
- Math, Science and Commerce Graduates
- Mid-level executives with no programming knowledge
- Managers with basic programming knowledge
- Anyone with interest in coding
- Students aspiring to become adroit programmers
Python & R Course Modules
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
Python and R Trends in Malaysia
Malaysia, a scenic country with its hills, beaches, forests and it's wildlife biodiversity is part of south-east Asia, consisting of three federal territories & 13 states. With its abundant natural resources in Petroleum, Palm oil, Rubber, and Spices, etc. Malaysia is an economic powerhouse with a future-looking populace. Malaysia offers a host of quality technical graduate & postgraduate programs. With the growing advent of Data Science in many counties, Malaysia has been one of the fast adopters of the same. Many organizations in Kuala Lumpur (Capital of Malaysia) are heavily investing in Data Science and are scouting for talent across various levels to drive this change. Malaysia is a place to keenly watch out for given that it offers both the worlds of technical excellence and varied touristy locations.
Malaysian students engage in a host of courses as part of their graduation and many universities like Universiti Malaya (UM), Universiti Sains Malaysia, the University of Malaysia Sarawak (UNIMAS), etc., have extensive technical programs. Technical skills in programming are much in demand, especially among new graduates. There is a good demand for jobs involving Python and R programming in the federal territory of Kuala Lampur and neighbouring areas. The entry of global IT companies has hiked the demand for skilled programmers in Python and R.
How We Prepare You
Additional Assignments of over 40 hours
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Resume and LinkedIn Review Sessions
3 Month Access to LMS
Job Placement Assistance
Unlimited Mock Interview and Quiz Session
Hands-on Experience in a Live Project
Life Time Free Access to Industry Webinars
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Python & R for Data Science Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0.
- Over 14+ years of professional experience.
- Trained over 2,500 professionals from eight countries.
- Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte.
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern).
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business.
Sharat Chandra Kumar
- Areas of expertise: Data Science, Machine Learning, Business Intelligence and Data Visualisation.
- Trained over 1,500 professional across 12 countries.
- Worked as a Data Scientist for 14+ years across several industry domains.
- Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology, Infrastructure Library.
- Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos.
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more.
- Areas of expertise: Data Science, Machine Learning, Business Intelligence and Data Visualisation.
- Over 20+ years of industry experience in Data Science and Business Intelligence.
- Trained professionals from Fortune 500 companies and students from prestigious colleges.
- Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL.
- Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more.
Prove that you have the coding, Data Analytics and Visualisation skills needed for a career in Python or R programming. The certificate is your key to enter the Data Science profession in Malaysia and the region and join the fast-growing user communities.
FAQs for Python & R Programming Course
Python is an open source and a high level programming language. Learning Python will be easy in our " Exclusive Python and R programming for beginners". This course facilitates hands-on project exposure that is valuable for beginners.
Python is a high-level programming language. It is also a Object-Oriented language like Java or C++. Students with prior knowledge of programming can easily grasp Python programming.
Java is known as a low-level programming langauge, which makes it difficult to learn and develop. Python is easy to develop . The simple syntax of Python makes it readable. Coding with Python reduces the complexity and length of programs.
There a plenty of Python related IDE's available. In this training we will learn Anaconda based Spyder. Jupyter Notebook is also discussed as it is widely used to develop Python codes.
R is a statistical computing programming language. R is an open source and high level programming langauge which is used by data scientists and data analysts to apply statistical computing on business data.
Anyone can learn R programming as it is a high level programming language which is more like English communication.
R and Python are the most popularly used programming languages to develop data science solutions. There are various other tools as well, but because they are open-source , it is very easy to learn them. Hence they are popular. They can be used to develop algorithms in Machine Learning, Predictive Modelling, Neural Networks and Regression Analysis.
Each student is assigned a mentor during the course of this program. If the mentor feels that the student needs additional help then 360DigiTMG Malaysia will assign an additional mentor as well.
The certificate is free of cost.
Jobs in Field of Python & R in Malaysia
The Job Roles that a Python and R Developer can opt for In Malaysia are a) Software Engineer b) Python Developer c) Research Analyst d) Data Analyst e) Data Scientist f) Machine Learning Engineer g) Software Developer.
Salaries of Python and R developers in Malaysia
A Python Developer in Malaysia earns around RM 53,191 while an R developer earns RM 49,121. The other perks of being a Python developer is the chance to work with senior management in a wide variety of Fields.
Python & R Projects in Malaysia
The Malaysian Government has placed the digital transformation of Malaysian government systems and corporate offices on priority. Python and R are used in most data science projects of the government. The country has progressed so much in digital transformation that it wishes to appoint a Chief Data Scientist over the next few years.
Role of Open Source Tools in Python & R Course
Python is easy to learn and maintain and therefore a Godsend to developers in Data Science. Its extended library makes it possible to stretch the applications of Python from Big Data Analytics to Machine Learning. R is the preferred tool of statisticians that enables effective data storage.
Modes of Training for Python & R Course
The course in Malaysia is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Industry Applications of Python and R programming
The industries where Python and R programming is used in Malaysia are Financial Services, Telecommunications, Information Technology, Education, and Healthcare. The various applications are Data warehousing solutions, Predictive Maintenance, Fraud Detection, Clickstream Analytics, and Customer and Social Analytics.
360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
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