37 Best Python Tutorial for Beginners 2019 Digital Learning Land

#artificialintelligence

Do you want to learn Python Programming Language? Learn it from the Best Python Tutorial for Beginners, Certification, Course, and Training that you will find online. Python is a high level, general-purpose programming language. It is widely used by programmers all over the world. This object-oriented programming language has a large and comprehensive standard library. Python was first built in the 1980s and since then it has been developing. The latest version of this programming language, Python 3.0, was released in 2008. Ever since it was built, Python has been used by data scientists and programmers in every country. The best thing about Python is that it is easy to understand and adaptable with any of the operating systems. Anyone can learn Python programming language and use it to analyze data, create applications, develop web, and for many other things. It is the most in-demand programming language of this time. Python programmers get highly paid jobs for their skills. We have found the best courses you can find online to learn Python and listed those in here. These online courses will help you to shape your knowledge of Python. So, get through the list and details about those courses and chose one for yourself. Pierian Data International by Jose Portilla is presenting this online course on Python. You can go from the basics to creating your own applications and games with this course. It has a rating of 4.5 out of 5 on Udemy and over 457,000 enrolled students. This python tutorial for beginners provides 24 hours on-demand video, 19 articles and 19 coding exercises with lifetime access. This course will teach you both Python 2 and Python 3. You will learn to use Jupyter Notebook system and Object-Oriented Programming with online classes. This online course on Python programming language has over 100 lectures. It also includes quizzes, tests and homework assignments. They have 3 major projects to complete a Python portfolio.


Getting started with Machine Learning with U-Washington ML specialization in Coursera -- Learning Machine Learning

#artificialintelligence

Hi, I'm planning to make a 5/6 part series to reflect about my experience in University of Washington Machine Learning Specialization in Coursera while I take the five courses: Foundations, Regression, Classification, Clustering, Deep Learning and finish the capstone project. This is the first article in the series. I'll feature the first course Machine Learning Foundations: A Case Study Approach in this article and describe the philosophy behind the'case study approach' with a brief overview of the tools used and reflect on what I've learnt. I hope it will help people who want to use the same specialization.I'm also taking courses in Udacity, Edx and using other resources too, but experience those resources will be described in separate articles. I'm also planning to write a whole separate series on Udacity Machine Learning Nanodegree in recent future.


How companies are creating data scientists in-house

@machinelearnbot

Ten years ago, companies were buzzing about big data, but few organizations beyond giants such as Amazon, Netflix and Google actively recruited IT pros with deep data chops. That has changed in the past few years thanks to improved tools and training, as well as evidence that data can drive business value. Now data science skills are in high demand in nearly every industry.


How companies are creating data scientists in-house

@machinelearnbot

Ten years ago, companies were buzzing about big data, but few organizations beyond giants such as Amazon, Netflix and Google actively recruited IT pros with deep data chops. Now data science skills are in high demand in nearly every industry. Demand is so great that it is unlikely there are enough long-tenured data scientists or math Ph.D.s to go around. Plus, identifying -- and validating -- data science talent is complicated by the emerging nature of the discipline, says Mark Jacobsohn, senior vice president and analytics lead at Booz Allen Hamilton. "Unlike other professions, we have not seen a single widely recognized certification for data science.