KDnuggets Home » News » 2019 » Jun » Top Stories, Tweets » Top KDnuggets Tweets, Jun 12 – 18: The biggest mistake while learning #Python for #datascience; 5 practical statistical concepts for data scientists ( 19:n24 )

Top KDnuggets Tweets, Jun 12 – 18: The biggest mistake while learning #Python for #datascience; 5 practical statistical concepts for data scientists


Also: Resources for developers transitioning into data science; Best Data Visualization Techniques for small and large data; Top Data Science and Machine Learning Methods Used in 2018, 2019



Most popular @KDnuggets tweets for Jun 12 - 18 were:

Most Retweeted, Liked, Clicked & Viewed:

The biggest mistake you can make while learning #Python for #datascience is to learn Python programming from courses meant for programmers. Avoid this mistake, and learn Python the right way by following this approach. https://t.co/JjGX3UEnVL https://t.co/G2xWf0h5dR

Jupyter Notebook

Top 10 most engaging Tweets

  1. The biggest mistake you can make while learning #Python for #datascience is to learn Python programming from courses meant for programmers. Avoid this mistake, and learn Python the right way by following this approach. https://t.co/JjGX3UEnVL https://t.co/G2xWf0h5dR
  2. A #datascientist should know how to effectively use #statistics to gain insights from data. Here are five useful and practical statistical concepts that every data scientist must know. https://t.co/GQOcKEHsHK https://t.co/nYN4dae97G
  3. If you’re a developer transitioning into data science, here are your best resources https://t.co/xCr5QRJJrr https://t.co/dYb2pafhko
  4. Best Data Visualization Techniques for small and large data https://t.co/QxGKXgQUhl https://t.co/3wO0lfyjAy
  5. Top Data Science and Machine Learning Methods Used in 2018, 2019 https://t.co/lzOV0fdiGL https://t.co/67Zh0qV7El
  6. How to Learn Python for Data Science the Right Way https://t.co/Amikbn8kIS https://t.co/7TPjuwg3nh
  7. The following are some of the most common #statistics mistakes made by #datascientists. Check this list often to make sure you are not making any of these while applying statistics to data science. https://t.co/OCuNzdOQZ8 https://t.co/8WLX1Hbyrm
  8. How to choose a visualization https://t.co/VjELqDNIq3 https://t.co/gv4frvbMEk
  9. A #datascientist should know how to effectively use statistics to gain insights from data. Here are five useful and practical statistical concepts that every data scientist must know. https://t.co/1TNuQEikf2 https://t.co/r1p0An5oSM
  10. Understanding Backpropagation as Applied to LSTM https://t.co/abEeucTCOP https://t.co/20UpBsRllz

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