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Practicing 'No Code' Data Science

#artificialintelligence

Summary: We are entering a new phase in the practice of data science, the'Code-Free' era. Like all major changes this one has not sprung fully grown but the movement is now large enough that its momentum is clear. Here's what you need to know. We are entering a new phase in the practice of data science, the'Code-Free' era. Like all major changes this one has not sprung fully grown but the movement is now large enough that its momentum is clear.


7 Fastest-Growing Job Roles In Data Science & How To Work Towards Them

#artificialintelligence

In an industry that is experiencing a steady rate of job creation, data science itself has moved from just a buzzword to a strategic component in organisations. In addition to this, data scientists are increasingly taking on more strategic roles as organisations employ a product-centric view of data. It is a field that promises tremendous job growth and higher earning potential. Our latest research posits 97,000 jobs are available in this buzzing field. On the hiring end, there is a significant overall growth in jobs in the field.


Automated Machine Learning: Just How Much?

#artificialintelligence

There is currently a lot of talk about automated machine learning. There is also a high level of skepticism. I am here with data scientists Paolo Tamagnini, Simon Schmid and Christian Dietz, to ask a few questions on this topic from their point of view and I found this concept of guided automation quite interesting as well, since it is directly involved in the practice of automated machine learning. Rosaria Silipo: What is automated machine learning? Christian Dietz: Automated machine learning is about building a system, process or application able to automatically create, train and test machine learning models with as little human input as possible.


Statistics for Data Science and Business Analysis

#artificialintelligence

Free Coupon Discount - Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis Created by 365 Careers, 365 Careers Team Students also bought SQL - MySQL for Data Analytics and Business Intelligence The Complete SQL Bootcamp 2020: Go from Zero to Hero Microsoft Power BI - A Complete Introduction Deep Learning A-Z: Hands-On Artificial Neural Networks Data Science A-Z: Real-Life Data Science Exercises Included Preview this Udemy Course GET COUPON CODE Description Is statistics a driving force in the industry you want to enter? Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist? Well then, you've come to the right place! Statistics for Data Science and Business Analysis is here for you with TEMPLATES in Excel included! This is where you start.


Top 20 Data Science MOOCs

@machinelearnbot

Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data. This course teaches the basic techniques of data science, including both SQL and NoSQL solutions for massive data management (e.g., MapReduce and contemporaries), algorithms for data mining (e.g., clustering and association rule mining), and basic statistical modelling (e.g., linear and non-linear regression).