(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
- Elements of Information Theory (October 3, 2017)
- Probability: Theory and Examples (October 3, 2017)
- Probability and Random Processes (October 3, 2017)
- Bayesian Data Analysis (October 3, 2017)
- Introduction to Nonparametric Estimation (October 3, 2017)

- Courses
- Data Science and Engineering with Spark (October 4, 2017)
- Try Python (September 28, 2017)
- Linear Algebra (MIT) (September 28, 2017)
- Statistical Learning (Stanford University) (September 28, 2017)
- Intro to Machine Learning (September 28, 2017)

- Gatherings and Organizations
- Enterprise Data World (October 1, 2017)
- Global Artificial Intelligence Conference (September 29, 2017)
- The Machine Learning Conference (September 25, 2017)
- Joint Statistical Meetings (September 25, 2017)
- WSDM Conference (September 24, 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.
- Correlation and Linear Regression (October 4, 2017)
- Principal Component Analysis using R (October 4, 2017)
- Bayesian machine learning (October 4, 2017)
- Getting Started in Open Source (October 3, 2017)
- Fun With Plotly (October 3, 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 | DataQuest - Data Analyst Path 5/5 (2) | |

5 | Talking Machines 5/5 (2) |

algorithms
artificial intelligence
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
dimensionality reduction
exploratory data analysis
graphs
importing data
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
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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