Python for DataScience

Presentation deck from Python for DataScience session from Greater Hartford Meet up group.. Deck is absolutely introductory with minimal notes and reference links.

Transcript

1. Python for Data Science April 24, 2018 anandkarthick@outlook.com | Github The Greater Hartford ( ) Group Image Source
2. Image Source - Gizmodo Click here What is Data Science? Technology/ Hacking Skills Business Strategy/Acumen Math & Statistics Data Science
3. Useful Tools… Matplotlib https://matplotlib.org/ Data Visualization Plotly https://plot.ly/ Data Visualization Scikit Learn http://scikit-learn.org/stable/ Machine Learning SciPy https://scipy.org/ Python based libraries Jupyter Notebook http://jupyter.org/ Code Editor Tabula http://tabula.technology/ Data Creation Plotting System for R Data Visualization http://ggplot2.org/ R Studio https://www.rstudio.com/ Code Editor
4. Useful Tools… StackEdit https://stackedit.io/ Markdown Editor Mockaroo https://www.mockaroo.com/ Data Mockup Brackets http://brackets.io/ Code Editor Pixate http://www.pixate.com/ App Prototyping The Noun Project https://thenounproject.com/ Free Icons & Symbols Atom https://atom.io/ Code Editor YouTube https://www.youtube.com/ Everything Visual Studio Code Code Editor https://code.visualstudio.com/
5. Machine Learning Image Source : Matlab
6. Learning references. Machine Learning for Humans Simple, plain-English explanations accompanied by math, code, and real-world examples. - https://medium.com/ machine-learning-for-humans/why-machine-learning-matters-6164faf1df12 To get started with Python - https://www.udemy.com/complete-python-bootcamp/ Micromasters in Data Science - https://www.edx.org/micromasters/data-science MIT Open Courseware - https://ocw.mit.edu/index.htm Applied Data Science with Python Specialization - https://www.coursera.org/specializations/data-science- python Some of the courses and links here have paid courses and the curriculum might be little exhaustive. But, feel free to check out sites likes udemy, cognitiveclass.ai, edx.org, coursera for individual courses that interests you.