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Tableau announces deeper Slack integration, platform to hire developers

ZDNet

Tableau unveiled a slate of new features and integrations at the Tableau Conference this week, including a platform connecting companies in need with developers for hire as well as deeper data integrations with Slack. Alongside announcements about ongoing partnerships with the Seattle Seahawks, Lyft and Jaguar Land-Rover, executives touted new Slack-First Analytics that allow users to access information from Tableau directly within Slack. Through natural language processing, users can also "talk" to their data with questions in the "Ask Data in Slack" feature. Tableau is also adding sections to its platform covering model building and scenario planning. Administrators will have access to features that allow them to create new data access points and centrally manage who has access to what.


5 Minutes With Tableau's Francois Zimmermann – Manufacturing Global

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There are also ethical challenges with the use of machine learning models as these may perpetuate bias and discrimination.


The Data Science Course 2021: Complete Data Science Bootcamp

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The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don't teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google's TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations No prior experience is required. We will start from the very basics You'll need to install Anaconda. We will show you how to do that step by step Microsoft Excel 2003, 2010, 2013, 2016, or 365 The Problem Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.


Tableau's latest update aims for AI enhanced augmented analytics, broader access to data

ZDNet

In this special feature, ZDNet examines how advances in AI, visualization and cloud technology are shaping modern data analytics, and how businesses are addressing data governance and a potential data science skills gap. Tableau is integrating more artificial intelligence into its platform to broaden the base of people, roles and skill levels able to access analytics. The augmented analytics functions in Tableau 2021.2 cover improvements to the Ask Data feature with personalized experiences, Explain Data with a new user interface and natural language search tools and reporting integrations with Salesforce. Salesforce has said it is increasingly selling Tableau along with its core clouds. Francois Ajenstat, Chief Product Officer at Tableau, said the new tools are aimed at democratizing data and creating an analytics-driven culture.


Top 10 Data Science Projects for Beginners - KDnuggets

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As an aspiring data scientist, you must have heard the advice "do data science projects" over a thousand times. Not only are data science projects a great learning experience, they also help you stand out from the crowd of data science enthusiasts looking to break into the field. In this article, I am going to walk you through the projects that are must-haves on your resume. I will also provide you with sample datasets to experiment with for each project, along with associated tutorials that will help you complete the project. Data collection and pre-processing is one of the most important skills to have as a data scientist.


Steps of Machine Learning

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Machine Learning is an application of artificial intelligence that gives the system the ability to learn and improve from experience without being explicitly programmed automatically. It primarily focuses on developing models that use algorithms to learn and detect patterns, trends, and associations from existing data. Models can apply this learning to new data. But what is happening behind the stage? Let us have a look at the steps of machine learning followed while building a machine learning model.


Artificial intelligence startup DataRobot seeks to raise $500 million - sources

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The new funding would more than double the company's valuation of $2.7 billion from a November fundraiser, highlighting the robust investor appetite for fast-growing enterprise software companies. The COVID-19 pandemic, which has pushed people to work remotely, has accelerated the use of data tools provided by companies such as DataRobot. Tiger Global, an existing investor in DataRobot, will participate in the round, which is expected to be the last private fundraiser before a stock market flotation of the company, the sources added. Datarobot and Tiger Global declined to comment. Founded in 2012, DataRobot offers a subscription-based machine learning platform to help companies use big data to perform predictive analytics, a process that otherwise would require manual effort.


What is data science? And how its used in machine learning

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Published Tuesday, May. 4, 2021, 9:11 am With tremendous data being generated every second, it is not difficult to imagine the potential of the many vital insights hiding in the data. Today, organizations focus on analyzing this collected data to discover insights into crucial business-related questions: How did the sales perform against estimated target sales in the last quarter? Are older customers contributing more to sales? Which customers should be given coupons? Let us understand how data science is helping organizations answer questions like these.


Data Science Training Course: Data Scientist Bootcamp

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Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.


Sr. Revenue Operations Data Analyst

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Convoy is transforming the $800 billion trucking industry. Our mission is to transport the world with endless capacity and zero waste. The industry is huge and so is the opportunity to change the way freight moves. The next time you're out driving and see an 18-wheeler on the road, that truck is empty 35% of the time. When big trucks drive empty, they throw unnecessary CO2 into the atmosphere.