Online Programming Courses

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C & C++ Training

(C | C++)

In C & C++ training, you will learn the fundamentals of programming concepts which are implemented by almost all computer programmers. Build your foundation for coding by learning C programming language from scratch. Learn to write programs using object oriented programming in C++ language.

30hrs
9000
260
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JAVA Training

(Java)

Java is an easy to learn, open-source programming language. Java is platform-independent high-level language, complete with many automated processes for easy use.
You wil learn to implement core object oriented programming concepts in JAVA programs. This allows you to create modular programs and reusable code.

30hrs
9000
260

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Python Training

(Python Language)

Python is an interpreted, open source, dynamically typed programming language with a with a rich programming environment. Python language has very powerful and useful set of libraries with a simple syntax. While it is easy for novice programmers to learn, it is broadly used in many scientific areas for data exploration and analytics.
In this Python training, you will begin your learning of Python language for data analysis, as well as programming in general.

30hrs
9000
260
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Data Analysis using Python

(Numpy | Pandas | Matplotlib | Seaborn)

Data Analysis is a technique to gain valuable information for making business decision. In this process, the data is cleaned, transformed, and modeled to extract insights from the data.
In this course, we will be learning Python language in order to perform data analysis and get the data in a representable form using various modules. You will be learning Python libraries such as Numpy and Pandas that makes it easy to perform parallel processing of large data with n-dimensions. You will also learn other Python libraries like Beautiful Soup to extract data from the internet, Matplotlib and Seaborn for visual representation of the data

30hr
10,500
300
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R Programming

(R Language)

R is a free and open-source language and is widely used statistical programming language that has open source libraries for statistics, data science and machine learning. R is cross platform and compatible to import data from various sources like Microsoft Excel, MySQL, Oracle, SQLite, etc.
R presents itself well to business and organizations because of its communciation infrastructure and its in-depth of topic wise and domain specific packages.

30hr
10,500
300