The Real Work of Data Science: Turning data into information, better decisions, and stronger organizations

The Real Work of Data Science: Turning data into information, better decisions, and stronger organizations

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English | ISBN: 1119570700 | 2019 | 136 pages | PDF | 1 MB The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now “the world’s most valuable resource.” But, as Kenett and Redman so richly describe, unlocking that

TABLEAU 2018: Hands-On Tableau Training For Data Science!

TABLEAU 2018: Hands-On Tableau Training For Data Science!

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MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration:8 Hours Genre: eLearning | 4 GB | Language: English What you’ll learn Install Tableau 2018 Connect Tableau to various Datasets: Excel and CSV files Create Barcharts Create Area Charts Create Maps Create Scatterplots Create Piecharts Create Treemaps Create Interactive Dashboards Create Storylines Understand

Data Science Algorithms in a Week: Top 7 algorithms for computing, data analysis, and machine learning

Data Science Algorithms in a Week: Top 7 algorithms for computing, data analysis, and machine learning

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English | September 20th, 2017 | ISBN: 1787284581 | 210 pages | EPUB |2.09 MB Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have

[Udacity] – Data Science Scholarship Program By Bertelsmann

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Course Preview Master data skills with Bertelsmann Learn valuable skills to launch or advance your career in our data-driven economy. Master world-class curriculum designed for the data jobs of today, tomorrow, and beyond. Upskill for the thousands of data-related jobs companies like Bertelsmann are hiring for! How it Works This scholarship is open to Bertelsmann

[Udemy] – Machine Learning A-Z™: Hands-On Python & R In Data Science

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Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. Created by Kirill Eremenko , Hadelin de Ponteves , SuperDataScience Team, SuperDataScience Support Last updated 10/2018 English Subtitle: English + Other Languages Available. What Will I Learn? Master Machine Learning on Python & R Have a great

[Udemy] – The Data Science Course 2018: Complete Data Science Bootcamp

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Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning Created by 365 Careers Last updated 8/2018 English What Will I Learn? 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,

Deep Learning A-Z™: Hands-On Artificial Neural Networks

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Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included. Best Seller Created by Kirill Eremenko, Hadelin de Ponteves, SuperDataScience TeamLast updated 5/2018 EnglishWhat Will I Learn? Understand the intuition behind Artificial Neural Networks Apply Artificial Neural Networks in practice Understand the intuition behind Convolutional Neural Networks

The Python Mega Course: Build 10 Real World Applications

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The only Python course covering web, databases, web scraping, data science, web visualizations, image processing & more! Created by Ardit Sulce Last updated 2/2018 English What Will I Learn? Become a Python professional able to independently develop complex applications on Python 3. Build 10 real world Python applications in a wide range of areas. Use Python

Data Science, Deep Learning, & Machine Learning with Python

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Go hands-on with the neural network, artificial intelligence, and machine learning techniques employers are seeking! Best Seller Created by Sundog Education by Frank Kane, Frank Kane Last updated 9/2017 English What Will I Learn? Develop using iPython notebooks Understand statistical measures such as standard deviation Visualize data distributions, probability mass functions, and probability density functions