Python Course Training in Salem
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Classroom & Online Sessions
- 40+ Hours of Practical Assignments
- 2 Capstone Live Projects
- Industry Placement Training
- 100% Job Placement Assurance
Academic Partners & International Accreditations
"Python ranks 1st and R language 5th in the world's most popular languages of 2019." - (Source). In the last decade Python has overshadowed its rivals and has emerged as the IT industry favorite. So the demand for a Python certification has increased worldwide. Python stands first in Github rankings for programming languages. It has been widely used for three decades and is more popular than Java, C#, and PHP. Python extends the comfort of working with readable and maintainable 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. R programmers are coveted in the Data Science and Statistical Analytics Industry. They are predominantly recruited in research-oriented industries to facilitate statistical model implementation and Data Analytics.
Exclusive Python & R Programme
- Computer Skills
- Basic Mathematical Concepts
Python Training for Beginners in Salem
In this Python and R programming course, travel with the twin passports of Python and R to the enchanting world of Data Science and Big Data Analytics. This program covers all the concepts and techniques that a professional requires to launch a career in Python and R programming in Salem. Over two months, students with basic or no knowledge of programming will be trained in these two easy-to-learn yet powerful languages. Our students will appreciate the simplicity of Python and the flexibility of R to develop algorithms for Data Mining, Machine Learning, Neural Networks, and Predictive Modelling. The hands-on experience in the course of the program will teach students how to code for Website Development, Mobile App Development, Software Development, Data Analytics, Artificial Intelligence, and Machine Learning.
What is Python?
Python is placed among the top 5 most popular programming languages in the world. It is recognized as a high level, 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 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 costs 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 environment
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 an 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 Training Outcomes in Salem
This Python and R programming course are bifurcated into two modules a) Programming in Python b) Programming in R. Both modules describe in detail the various operations performed by Python and R. The numerous Python operators and packages like Panda, Matplotlib, Numpy, and Scipy are discussed. Students will learn to build machine learning models in Python. The numerous Data Visualization packages in Python find a compelling description in a special module. Due importance is given to R scripts and their execution. The importance of packages, data types, functions, and error-handling in both languages is highlighted. The use of Python and R in developing Data Analytics software is elaborated. 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. 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
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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 Course Modules in Salem
This R and Python course in Salem deals with the unique features of both languages. The first few modules serve as an introduction to Python and Anaconda (GUI). Data Types and Functions in Python are explained in depth in the succeeding modules. The Python packages useful for Data Analytics, Machine Learning, and Artificial Intelligence are elaborated in-depth in three separate modules. The section on R programming follows a similar schema. The preliminary modules deal with the installation of R and RStudio(GUI), R Scripts, and Execution. Students will learn about the numerous packages, data types, and functions in R. Error handling in R finds special mention. The use of R packages in Data Analytics, Machine Learning, Artificial Intelligence, and Data Visualization is discussed in depth in the final modules of the best R and Python Course in Salem.
Understand why Python, what is the importance of Python as a programming language, History of Python and its evolution.
Installation of Core Python, learn how core Python works, Installing Anaconda Python, Various versions in Anaconda Python, Different GUIs or IDEs of Anaconda Python, Understanding Spyder and Jupyter IDEs.
Various Types of Operators, Arithmetics Operators, Logical Operators, learn how are Operators used in Python Programming and also how they are going to behave as per the usage.
Definition of a Python Package, understanding how Python Packages are built, various types of Python Packages - Pandas, Matplotlib, Numpy, and Scipy.
What are Data types, learn how Data types are used based on programming. Understanding Integer data type, Float data type, Touple data type, and Complex data Type.
Understanding what is a function, learn how to define a function, the difference between Custom function and In-built functions, passing arguments into function and working with functions for your script.
Understanding what is an Error, what are the types of Errors in Python, what is an Exception and how to handle an Error through Exception.
How is Python useful in Data Analytics, what are the different Python Packages useful for Data Analytics, learn how to build a Machine Learning Model on Python.
Data Visualization in Python, Packages used for Data Visualisation, Understanding - Bar Plot, Dot Chart, Histogram, and Box Plot creation.
What are the important Machine Learning Packages useful for Machine Learning in Python - Scikit Learn, Scipy, Matplotlib, and Pytorch. Understanding AI capabilities of Python, AI packages - TensorFlow, Keras, and Pytorch.
Understanding R programming, History of R, Capabilities of R as a programming Language, Machine Learning and AI Capabilities.
How to Install R, how to work with R, Reasons for Installing R Studio, What is Scripting Pane, What is Console, Environment Pane and Uploading files and installing packages.
How can we write a script and where does the execution happen, ease in writing a program or algorithm and executing it.
Understanding what is Package in R, How to use Packages, Installing a Package, Invoking a Package, Advantages of Packages.
Understanding Data Types in R - Character, Integer, Float, and Complex, Logical.
Learn how to use functions in R, understanding In-built Functions and Custom Functions.
How does an Error occur in R Programming and how R handles those errors.
Understanding how fast R is for Data Analytics, different packages in R for Data Analytics. Different inbuilt functions used by R for Analytics, Analytical Capabilities in R.
Visualizing data in R, learn the different types of graphs - BarPlot, Dot Chart, Histogram, Box Plot, and other visualizations.
Learn to build a Machine Learning Model using R, understanding different packages used for it, AI Capabilities of R and different Packages associated with R.
Python Course Training Trends in Salem
R and Python are both premium tools for Data Scientists and both the languages have their advantages. Both are leveraged in any data science task and enjoy a vast software ecosystem and community because both the languages are used to analyze data and make thoughtful decisions. R is extensively used for statistics and is capable of standalone analyses. Python on the other hand happens to possess object-oriented capacities and when complimented with packages like pandas, numpy and scikit-learn, it becomes an ideal choice for machine learning activities. Python with its easy to read and maintain code has emerged the industry favorite.
Industry leaders like Google, NASA, YouTube, Amazon, Instagram, Facebook, IBM, and Netflix use Python. More companies are using Python than ever before and this has increased both the demand and Salary of Python Developers. R is not far behind either. The statistical applications of R and Machine Learning extensions have made it very popular in techie haven. There is a short supply of R programmers in the world. Globally there are only 60,000 R programmers. India has around 7000 R programmers. Western Europe has 5000 R programmers.
How we prepare you
- 40+ Hours of Practical Assignments
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- Lifetime LMS Access
- 24/7 support
- Job placements in Python fields
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on experience in a live project
- Offline Hiring Events
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