(for now, see the explanation of my plans for this site in this post)

Click “All Content” in the menu to find books, podcasts, courses, and more!

(for now, see the explanation of my plans for this site in this post)

Click “All Content” in the menu to find books, podcasts, courses, and more!

- Blogs, Podcasts, Etc.
- Artificial Intelligence in Industry with Dan Faggella (August 7, 2017)
- The SuperDataScience Podcast (August 7, 2017)
- Digital Analytics Power Hour (July 27, 2017)
- The All Analytics Podcast (July 27, 2017)
- Data Science at Home (July 27, 2017)

- Books
- No Bullshit Guide to Math and Physics (July 18, 2017)
- Mathematics: A Very Short Introduction (July 18, 2017)
- Statistics Done Wrong: The Woefully Complete Guide (July 18, 2017)
- Tales of Science and Data (July 18, 2017)
- Python for Informatics: Exploring Information (July 18, 2017)

- Courses
- Study Design (August 14, 2017)
- Differential Equations (August 14, 2017)
- Multivariable Calculus (August 14, 2017)
- Integral Calculus (August 14, 2017)
- Differential Calculus (August 14, 2017)

- Gatherings and Organizations
- PyData – Seattle (August 22, 2017)
- PyCon.DE (August 22, 2017)
- EuroPython (August 21, 2017)
- PyData Berlin (August 21, 2017)
- PyData @ PyCon PL (August 13, 2017)

- Programs
- Cornell University Master of Professional Studies in Information Science (August 13, 2017)
- Udacity Machine Learning Engineer Nanodegree Program (March 29, 2017)
- Udacity Predictive Analytics for Business Nanodegree Program (March 29, 2017)
- Udacity Self-Driving Car Engineer Nanodegree Program (March 29, 2017)
- Udacity Artificial Intelligence Engineer Nanodegree Program (March 29, 2017)

- References, Learning Guides, Etc.
- Statistics and Probability (August 14, 2017)
- Mastering Markdown for GitHub (August 13, 2017)
- GitHub Markdown Cheatsheet (August 13, 2017)
- Jupyter Notebook Keyboard Shortcuts (August 13, 2017)
- MIT Statistics Cheat Sheet (August 13, 2017)

1 | DataCamp 5/5 (6) | |

2 | Becoming a Data Scientist 5/5 (4) | |

3 | DataCamp - Intro to Python for Data Science 5/5 (3) | |

4 | Harvard CS109 Data Science 5/5 (2) | |

5 | Talking Machines 5/5 (2) |

algorithms
bayes theorem
big data
charts
classification
clustering
data analysis
databases
data manipulation
data mining
data science
data science (overview)
data visualization
decision trees
deep learning
exploratory data analysis
graphs
importing data
k-means
linear algebra
linear regression
logistic regression
machine learning
mapreduce
mathematics
matplotlib
natural language processing (NLP)
neural networks
pandas
predictive analytics
predictive modeling
probability
programming
python
R
regression
RStudio
scikit-learn
Spark
SQL
statistics
supervised learning
time series
unsupervised learning
visualization

Academic Degree Programs
Blogs
Blogs, Podcasts, Etc.
Books
Cheat Sheets
Conferences
Courses
Curricula
Free eBooks
Gatherings and Organizations
In-Person Bootcamp
Informal Meetups
Interactive tutorial style course
Intro Guide
Online course series w/certificate
Organizations
physical books or multiple formats
Podcasts
Programs
References, Learning Guides, Etc.
Scheduled online course
Self-paced online course
Terminology
Tutorial
Vlogs & Video Series

Created and Developed by Renee Marie Parilak Teate, BecomingADataScientist.com

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Plugins: [list final set of WP plugins w/links]

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