Data Science As A Career Change – My Story as a Video Interview

MT @_data_mania: Video interview~
#DataScience as #career change
#WomenInTech #AI

  • If you’re like most people who work with data on a regular basis, you’re probably hearing about data science as a career change option and wondering “Is data science right for me?
  • Although I can’t answer those lingering questions for you – I can tell you my experience, as a person who approached data science as a career change.
  • In this exclusive premier interview for LinkedIn Learning, I discuss how I transitioned myself from an Environmental Engineer to a Data Scientist.
  • There’s a lot covered in this lively 30-minute session; And if you’re considering data science as a career change, watching it should help you get a better idea what to expect, and hopefully a little inspiration to ignite your passion.
  • If you liked this video and want to learn more about how to make the transition into data science as a career change, then be sure to check out my LinkedIn Learning / Lyndas training courses here.

If you’re like most people who work with data on a regular basis, you’re probably hearing about data science as a career change option and wondering…
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12 Python Resources for Data Science

A plethora of #Python Resources for #DataScience:  #abdsc #BigData #MachineLearning

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

12 Python Resources for Data Science

12 #Python Resources for #DataScience  #ArtificialIntelligence #MachineLearning #AI

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

12 Python Resources for Data Science

12 #Python Resources for #DataScience  #ArtificialIntelligence #MachineLearning #AI

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

AI Revolution

#AI revolution: 20 key business findings #CIO #CMO

  • To better understand the AI revolution in business, Salesforce Research compiled insights from previous studies, capturing input from 10,800 respondents from sales, services and marketing leaders and 7,000 consumers and business buyers around the globe.
  • AI steps into the business strategy spotlight: while a minority of businesses currently use AI, interest in the technology (machine learning, deep learning, natural language processing, smart data discovery, etc) is pervasive and planned adoption is strong.
  • AI use cases span sales, service, and marketing: AI has the potential to become as ubiquitous as electricity or cloud computing.
  • All lines of business are starting to view AI as technology that can improve customer engagement, improve employee productivity and ultimately accelerate digital transformation and business growth (revenue).
  • The power of AI is the ability to gain more knowledge from data, and to augment sales, service and marketing intelligence to help accelerate and bolster a company’s ability to improve stakeholder (employees, partners and customers) performance and experience.

Artificial Intelligence (AI) could double annual economic growth rates by 2035. – Accenture
According to Accenture, In five years, more than half …
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New Machine Learning Cheat Sheet by Emily Barry

#MachineLearning Cheat Sheet, the #emoji edition:  #abdsc #BigData #DataScience #AI

  • This blog about machine learning was written by Emily Barry.
  • Emily is a Data Scientist in San Francisco, California.
  • The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time.
  • This is by no means a comprehensive guide to machine learning, but rather a study in the basics for herself and the likely small overlap of people who like machine learning and love emoji as much as she do.
  • For more articles about machine learning, click here.

This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. She really loves emoji. Another thing she…
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Book: Data Science for the Layman: No Math Added

#DataScience Book for the Layperson:  #abdsc #BigData #DataAnalytics #MachineLearning #AI

  • Want to get started on data science?
  • This book has been written in layman’s terms as a gentle introduction to data science and its algorithms.
  • Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application.
  • With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

Want to get started on data science? Our promise: no math added.
This book has been written in layman’s terms as a gentle introduction to data science and its…
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