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Data Science Training Online course taught by 15+ years experienced working professional. 100% practical course with real-time projects Lifetime Access to Digital library and Sample Resume. Fast-track or 1 to 1 classes. Course Duration: 30+ hours.

Our Tableau Training Online course taught by 15+ years working professionals. 100% practical course with real-time projects. Course Duration will be 20+ hours. We also conduct fast-track/ weekend/ 1 to 1 classes. Additionally, you will get a sample resume, certification guidance, and Free life-time Access to our LMS.

This R tutorial by TechVidvan is designed to be an all in one package to answer all your questions about what is R and how it can be your perfect partner.

A tutorial for complete beginners. Learn to code with python, absolutely no experience required.

By taking Data science training from Tekslate, you'll master major data science topics such as data analysis, methods to deploy R statistical computing, important Machine Learning algorithms, and K-Means Clustering. This course also includes time-series analysis, Na�ve Bayes, business analytics and Hadoop framework. Our curriculum is designed by industry experts based on real-time scenarios.

I decided to write a post I've been wishing existed for a long time. A simple introduction for those who always wanted to understand machine learning. Only real-world problems, practical solutions, simple language, and no high-level theorems. One and for everyone. Whether you are a programmer or a manager.

This tutorial is intended for software programmers interested in studying basic and advanced concepts of Python. This tutorial covers all topics of Python which includes data types, operators, strings, control statements, lists, tuples, sets, dictionary, lambda, functions, classes, object-oriented programming, constructor, destructor, inheritance, exception handling & File IO.

Instructor Mark Niemann-Ross begins by sharing a framework for understanding the different types of high-velocity data. He then covers how to use R to acquire high-velocity data, as well as how to leverage profiling tools and optimize R code for use with high-velocity data. He wraps up by exploring how to use R to present data, including how to use Shiny'an R package that allows you to build web apps straight from R'for interactive dashboards.

Get help with your data science projects by viewing Anaconda's documentation, make pull requests, or review questions and answers from our community of experts.

This article is co-written with Arild Nebb Ervik. Regardless of how �big� the data are, success in analytics relies at least as much on organizational alignment and process as on the chosen analytical tool. Through distillation of the talk stream in the market we may identify four key challenges to address.

The rise and value of predictive analytics in enterprise decision making

In this path you will learn the basics of Python and more advanced topics such as object-oriented design and code organization.

Python is a widely used high-level dynamic programming language. It is a very simple, friendly and easy to learn programming language. It is the best choice for a beginner programmer. Python source code is also available under GNU General Public License (GPL).

Welcome to R Tutorial! R is an open source statistical language used for Data Science. R provides inbuilt functions like mean, median etc and data structures like Array, Matrix and Data Frame to help with statistics.

This is a huge collection of Python Examples and Python Programs. These Python Tutorials provide detailed Python code examples with great explanation.

This web site is building a set of free materials, lectures, book and assignments to help students learn how to program in Python. You can take this course and receive a certificate

On R-exercises, you will find hundreds of exercises that will help you to learn R. We've bundled them into exercise sets, where each set covers a specific concept or function.

This is the website for �R for Data Science�. This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it.

Practical Programming for Total Beginners