Awhile ago, I recorded a Facebook Live on Tips for Data Science Students. It goes along with the following post: Getting the most from your Data Science Masters Program.
I have recently been exploring with creating YouTube Live Videos. Go to the Data Science 101 Facebook page to know more.
Deep Learning Summer School, Montreal 2016 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. If that is you, there are plenty of videos to help you learn more.
Professor Norm Matloff from the University of California, Davis has published From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science which is an open textbook. It approaches statistics from a computer science perspective. Dr. Matloff has been both a professor of statistics and computer science so he is well suited to write such a textbook. This would a good choice of a textbook for a statistics course targeted at primarily computer scientists. It uses the R programming language. The book starts by building the foundations of probability before entering statistics.
Want to learn about data science and the Internet of Things (IoT)? Futuretext is about to start Data Science for Internet of Things. It is a course aimed at people looking to learn the topics and transition into IoT and data science careers. Here are some quick highlights about the course.
- Starts Mid March 2016 and lasts through December 2016
- Personalized Course
- Available Online
Below is a list of topics.
- Data Science
- Machine Learning
- Data Science for IoT methodology
- Deep Learning
Do check out Data Science for Internet of Things for more details.
The fine folks at DataCamp, a great site for learning data science right in your browser, have come up with another great infographic. This time it compares some of the many job titles in the data science field.
The infographic lays out the roles and skills needed for the following job titles. Note: not all the job roles can be confused with a data scientist, but all the roles can be important when completing an entire data science project.
- Data Scientist
- Data Analyst
- Data Architect
- Data Engineer
- Database Administrator
- Business Analyst
- Data & Analytics Manager