Kaggle, the online data science competition platform, will be hosting a free online conference for people interested in landing their first data science job.
Kaggle CareerCon 2018 on March 20, 2018. There are a bunch of great speakers lined up, and all the talks are focused on preparing someone to get a data science job (resume tips, interview questions, portfolio examples, …).
Coursera has partnered with the University of Michigan to launch a new master’s degree entirely online through the Coursera platform. The new Master of Applied Data Science degree will launch in Fall of 2019.
Data Science Society is organizing the first ONLINE #Datathon2018 – a 48-hours challenge for all people passionate about data, willing to experiment with new types of data, and expand their network of connections in the field globally.
The Datathon is one of the initiatives of Data Science Society, happening for the third time, this time fully digital!
The participants will have the chance to work on real- world cases of top companies such as Telenor, Receipt Bank, Ontotext, Kaufland, VMWare, ZenCodeo, and А Data Pro, while working and communicating on an internal platform, supported by the services of the best cloud providers – IBM, Microsoft and Amazon.
NLP,Computer Vision and AI
At the #Datathon2018 are expected many data passionates coming from a variety of backgrounds and interests. Academics and practitioners will have the chance to bring their knowledge in action in three categories of cases – NLP, Artificial Intelligence and Computer Vision. Go out of the theory and see the data from a different perspective while collaborating in a team of like-minded people and learning to deal with unexpected issues regarding the real-world data.
All data scientists, mathematicians, data analytics experts, software engineers and data enthusiasts will have the chance to dive deep in the data and be mentored by internationally renowned experts.
The #Datathon2018 is happening between 9th and 11th of February and the registration is open
Google has recently released a Jupyter Notebook platform called Google Colaboratory. You can run Python code in a browser, share results, and save your code for later. It currently does not support R code.
If you are looking to learn data science but do not have the time or money for a full master’s degree, Data Society might be your answer. Data Society is an online data analysis skills training program that is designed by educators and curated by data science experts. The learning experience is online and includes:
Printable step-by-step guides
Reusable Coding Templates
Opportunities to build a Portforlio
There is one other completely awesome feature of Data Society. For every membership purchased, they provide a free membership to help someone in need. Data Society is currently running a Kickstarter to build a community for learning data science. Your support would be greatly appreciated (I am not involved in the project but I am always happy to share innovative educational opportunities for data science).
Recently, I was able to get a brief interview with Merav Yuravlivker, one of the founders of Data Society.
There are many data science learning resources on the web, how is Data Society different?
We understand that most people do want to learn these skills, but don’t feel like they have the time, the money or the background. We eliminate all those barriers to entry by providing short lessons that are taught intuitively with real data sets. It’s the first platform that’s designed with working professionals in mind. Not only do we teach our students how to analyze data, but we also have a separate track for managers that teaches them how to implement data-driven strategies in their teams, how to hire a data scientist, and how to communicate effectively with their employees. Our courses are not just videos, each course includes ready-made data analysis templates in R that decrease the time it takes to do the work, a step-by-step printable guide that can be used as a reference for every stage of the analysis, and live, dynamic forums where students can get all of their questions answers by the Data Society team as well as other students. In short, we provide everything someone needs to learn new skills in a much shorter amount of time.
What is the Kickstarter about?
Our Kickstarter campaign is about building that community around learning data science and helping others solve problems – we’ve already released the first three courses in our curriculum, and we’re excited to give our supporters an opportunity to see exactly how their contributions can make an impact. Our mission is to increase data literacy across the workforce – we know that data analysis skills are widely valued and sought-after, which is why we’re partnering with non-profits who help veterans and low-income individuals get back to work. For every membership bought off of Kickstarter, we will give one to someone who can use these skills to become more marketable and improve their life.
Is there anything else you would like to tell me about Data Society?
The most frequent compliment we get from students is that they didn’t feel intimidated to learn data analysis skills. As an educator, that is the biggest reward to me because we’re opening up possibilities for individuals who didn’t think that they had the ability to analyze data and pull insights from it. Our goal is not to turn everyone into a data scientist, but rather to give everyone the ability and confidence to get new data, look at the data they already have, ask “How can this data help me solve this problem?”, and then discover those insights that will help them make better decisions.
DataQuest is a recently launched online data science learning platform for python. The site consists of a gamified series of missions that increase in difficulty as your skills progress. Here are a few other features of the site.
The site is still under development and the founder, Vik Paruchuri, is looking for help developing more content and missions for the site. If that is something of interest to you, get in touch with Vik via the DataQuest website.
The program is entirely online and runs 1 course at a time starting in late February 2015. The 5th and final course should complete sometime in late 2015. Thus, the entire program lasts less than a year. Below are some more details on the program.
What do you need to get into the program?
Bachelor’s Degree in math, CS, stats, business, science, or other related field
A couple year’s work experience
What type of people should attend this program?
Someone intested in transitioning to data science career
Managers whom wish to better understand data-driven decisions
Programmers and Statisticians looking to become data scientists
Analysts looking to move beyond Excel
Full Disclosure: I am a member of the Advisory Board for this program.
The University of California at Berkeley just announced a new masters degree in Information and Data Science (MIDS). The program is targeted to be completed entirely online with the exception of a one week visit to the campus. The program has a approximate cost of $60,000 for the 27 required credits. The curriculum looks good. It includes: machine learning, data analysis, visualization, big data processing, and privacy/ethics. The initial class of students will start in January of 2014.