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Python Course Training in Yelahanka, Bangalore

Our Python course in Yelahanka aims to deliver the training from basics to advanced concepts of Python along with the latest programming languages. You will be working on various real-time projects which helps you to gain hands-on experience.
  • 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
python course reviews in Yelahanka - 360digitmg
543 Reviews
python course reviews in Yelahanka - 360digitmg
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Exclusive Python & R Programme

python course in Yelahanka - 360digitmg

Total Duration

2 Months

python course pre-requisite in Yelahanka - 360digitmg

Prerequisites

  • Computer Skills
  • Basic Mathematical Concepts

Python Training for Beginners in Yelahanka

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 Yelahanka. 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 Yelahanka

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

Know the basic uses for R and Python for Developers
Code programmes in R and Python
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 programmes
Learn about packages and their applications in R and Python
Read and write data/files for processing
Troubleshoot in R and Python

Python Course Modules in Yelahanka

This R and Python course in Yelahanka 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 Yelahanka.

Introduction to Python Programming Language

Understand why Python, what is the importance of Python as a programming language, History of Python and its evolution.

Installation of Python and Anaconda (GUI)

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.

Python Operations

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.

Python Packages

Definition of a Python Package, understanding how Python Packages are built, various types of Python Packages - Pandas, Matplotlib, Numpy, and Scipy.

Python Data Types

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.

Python Functions – in-built and custom functions

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.

Error Handling

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.

Data Analytics

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.

Visualisation in Python

Data Visualization in Python, Packages used for Data Visualisation, Understanding - Bar Plot, Dot Chart, Histogram, and Box Plot creation.

Machine Learning and AI packages

What are the important Machine Learning Packages useful for Machine Learning in Python - Scikit Learn, Scipy, Matplotlib, and

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