Certificate Course in
Exclusive Python & R Program For Beginners
- 40 Hours Classroom & Online Sessions
- 40 Hours Assignments & Real-Time Projects
- 100% Job Assistance
Academic Partners & International Accreditations
"Python and R are among the most loved and most wanted languages. A Python developer salary in the US in 2020 is $120,360 per year." - (Source). Python has overtaken traditional languages and is now the number one used programming language for data sciences and third for overall development. R is not far behind for Data Science, ranking 3 behind Python and SQL. So, most analysts and data practitioners need to be knowledgeable in Python and R, preferably both. Most of the advanced analytics and data science jobs in the USA need either Python or R programming experience. This course by 360DigiTMG is a boon for students who are planning to move into the data fields but are not programmers. There are thousands of jobs in the USA according to LinkedIn with the title Python Developer and more than 100,000 listings for some of the other job titles such as data analyst, data scientist, machine learning engineer, etc., have Python as a prerequisite.
Python & R Program
- Computer Skills
- Basic Mathematical Concepts
Python & R Certification Program Overview
Python and R programming are your twin passports to travel the enchanting world of Data Science and Big Data Analytics. You will find that Python is simple and R is flexible which will help you to develop algorithms for Predictive Modelling, Data Mining, and Neural Networks. Learning Python & R today will help you reap a lifetime of career opportunities. The program introduces the concepts, tools, and techniques that prospective aspirants need to launch a career as a Python and R programmer in the USA. Throughout the course, participants with minimal or no knowledge of programming will become proficient in Python and R – a testament to the ease with which they both can be learned. The hands-on approach to training will teach students how to program and develop a Website, build a Mobile App, Software Development, Data Analytics, Artificial Intelligence, and Machine Learning among others.
What are Python and R?
Python and R are among the two most popular programming languages used today by software developers and Data Scientists. Python is used for web scraping, data wrangling, and deploying powerful data models quickly. R, on the other hand, is used for statistical computing and data analytics and visualization. R also allows us to create excellent web applications through its frameworks. It is also great for optimization, random number generation, and signal processing. Python is easy to learn and is known as the beginner’s language because it is easy to read syntax which makes coding easy. Python is essentially used for automation, exploratory data analysis, and machine learning. Both programming languages Python and R enjoy large communities oriented towards Data Science.
Python & R Training Learning Outcomes
This course for beginners will specifically target at explaining the concepts of programming and how can one construct and execute programs in Python by designing and implementing algorithms and using external libraries of Python. This will go hand in hand with constructing and executing basic programs in R using techniques like import and export of data, manipulating data, creating function, conditions statements, loops, and debugging. Using Data visualization students will be able to see the results of statistical calculations with R and will also learn to use external R-packages for statistics and data mining. Students will be working on large datasets and use qualitative and quantitative tools to analyze data. Knowing both languages is worthwhile and practical for multiple reasons. Students will also learn to write database applications in Python and R . This course on Python and R programming in the USA throws light on the individual uniqueness of both the languages where you don’t have to choose one but you get to have both of them in your toolbox.
Block Your Time
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
Each module in this program is motivated by a particular dataset which helps students in working with a range of data sources varying in quality and size. The modules cover practical issues with statistical data analysis and optimization. The modules are divided into two sections, one dedicated to Python and the other to R. The module on Python commences with an introduction to the language along with the installation of Anaconda and Python (GUI). Students will be exposed to various operations, data types, functions, packages in Python. The module on R will begin with an introduction to R programming and installation of R and RStudio (GUI) and ends with exploring visualization with R and Machine learning and AI packages.
- 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
- 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
Trends in Python and R
It has been impossible to budge these two popular programming languages from the top spots. Though we have seen constant rise and dips in the usage of these languages, they have been holding their ground as niche programming languages which are used by Data scientists for extracting insights that are then used for future predictions. They have been dramatic changes in the languages where new features are added and the existing ones are modified to suit the needs of developers. R is the tool choice for statistical computing and data visualization and Python offers the least code when compared to other languages. In the field of AI Python is considered to be the best language considering its libraries like Numpy, Scipy, Pybrain which are used for scientific computation, advanced computing, and machine learning respectively.
R is a statistical workhorse that makes it important for Machine learning and AI applications. One can create functions, objects, and packages using R and it also allows you to create impressive data structures. Its interactive nature allows you to access various data sources and statistical packages such as SAS, and SPSS. Today, more and more companies are focusing on data and are hiring individuals who can tease the data using open source platforms, tools, and technologies. This course equips students with a fundamental understanding of both languages so that the students need not get confused about which language they should learn since both languages come with their unique features and specific purpose.
How We Prepare You
- Additional Assignments of over 40 hours
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- 3 Month Access to LMS
- 24/7 support
- Job Assistance in Data Science Fields
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on Experience in a Live Project
- Life Time Free access to Industry Webinars
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