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The 4 Key Benefits of Business Analytics

Building a culture based on business analytics helps companies stay agile.

5 Benefits of Using Business Analytics

Enhancing product value for total customer satisfaction is every company's end goal. Target markets of different industries are dynamic with their needs often changing according to society's standards, issues, and fads. Knowing this, it is necessary to pull ahead of the competition through unique innovation of ideas and products which would readily attract customers.

Talking Machines

Talking Machines is your window into the world of machine learning.

R Tutorial for Beginners | Tutorial and Example

R is nothing but a programming language, also a free software environment. This software used for predictive analysis, statistical analysis, graphical representation, data modeling, and reporting.

Dive Into Python 3

Dive Into Python 3 covers Python 3 and its differences from Python 2. Compared to Dive Into Python, it's about 20% revised and 80% new material. The book is now complete, but feedback is always welcome.

Intro to Artificial Intelligence (Udacity)

In this course, you'll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.

Intro to Data Science (Udacity)

The Introduction to Data Science class will survey the foundational topics in data science.This will give you the opportunity to sample and apply the basic techniques of data science.

Introduction to Machine Learning (Udacity)

This is a class that will teach you the end-to-end process of investigating data through a machine learning lens.

Intro to Python Programming (Udacity)

In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices.

3 Steps to Identify the Analytics Training You Need

If you have been looking to get trained in data science and have also been wondering how to choose between different programs, I recommend following these 3 steps to find out what you need, based your own background and where you want to go.

Matplotlib Tutorial

Matplotlib tutorial for beginner

Learning Machines 101

A Gentle Introduction to Artificial Intelligence and Machine LearningSkip to content

R by example

R by example

Practice Python

Welcome to Practice Python! There are over 30 beginner Python exercises just waiting to be solved. Each exercise comes with a small discussion of a topic and a link to a solution. New exercise are posted monthly, so check back often, or follow on Feedly, Twitter, or your favorite RSS reader. To get started right away, read more about Practice Python or go straight to Exercise 1!

Python Challenge (Programming Riddle)

Python Challenge is a game in which each level can be solved by a bit of (Python) programming.

A Visual Introduction to Machine Learning

In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.

Challenges in Business Analytics

The major challenge that organization's face in today's competitive environment is to identify which data is relevant and useful and then to transform the data into useful knowledge for business decisions.

Free Tableau Courses (Udemy)

Whether you're a researching data scientist, or a professional business analyst, Tableau helps you get your job done better. Udemy features top-rated Tableau courses that walk you through every every level of this data visualization software.

Python Programming Beginner Tutorials

In these Python Beginner Tutorials, we will be learning the fundamentals of Python programming from the ground up.

Python OOP Tutorials

Python Object-Oriented Tutorials. In this series, we will be learning how to create classes in Python, and also the best practices for working with these classes. We will go over class/instance variables, inheritance, getters/setters, and much more.

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