Data Science 101: Strategies for Learning Data Science in 2020
In this video, I share my strategies for learning data science as a beginner as you venture into the world of data science (artificial intelligence, big data, data mining, data analytics and business intelligence). These strategies for learning data science is how I learned data science. By implementing these strategies you can start your journey of getting started on data science.
This video is part of the following playlist:
✅Data Science 101: https://bit.ly/dataprofessor-ds101
If you’re new here, it would mean the world to me if you would consider subscribing to this channel.
✅Subscribe: https://www.youtube.com/dataprofessor?sub_confirmation=1
Follow us:
✅FaceBook: http://facebook.com/dataprofessor/
✅Website: http://dataprofessor.org/ (Under construction)
✅Twitter: https://twitter.com/thedataprof/
✅Instagram: https://www.instagram.com/data.professor/
✅LinkedIn: https://www.linkedin.com/in/chanin-nantasenamat/
✅GitHub 1: https://github.com/dataprofessor/
✅GitHub 2: https://github.com/chaninlab/
#dataprofessor #learningdatascience #learndatascience #learnmachinelearning #datascience #datamining #bigdata #machinelearning #datascienceworkshop #dataminingworkshop #dataminingtutorial #datasciencetutorial #ai #artificialintelligence #datasciencejourney
source
Home Page
Cold calling has a simple productivity problem: most of a calling block is not spent…
Sales teams rarely lose momentum because they do not know what to do next. They…
Today’s tech landscape is swinging from relentless automation toward privacy, consent, transparent tools, and more…
A practical template helps marketing leaders organize campaigns, budgets, owners, and key dates while aligning…
Commerce is becoming agent-driven, but privacy, accuracy, transparency, and human judgment will determine who earns…
Today’s growth landscape rewards measurable referrals, original content, adaptable buyer experiences, and rigorous trust checks.