New DataSciGuide Content Jan-March 2017

Thanks to your support on Patreon (THANKS!!), I have been able to hire help to get this site kickin' again! Below is all of the content that has been added so far in 2017, mostly due to the efforts of Sophia and Stephanie (THANKS!!). If you have used any of this content, please add your reviews!

(If you want to search & browse all content, use the "All Content" page)

  • A Crash Course in Data Science No ratings yet. - This course is #1 of 5 in the Executive Data Science Specialization from Johns Hopkins University. From Coursera: “By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, … Continue Reading
  • AnacondaCON 2017 - Next event: April 8-11, 2018 – Austin, TX Stay up-to-date for AnacondaCON 2018 From AnacondaCON 2017: AnacondaCON is the place to fast track your current knowledge of Open Data Science, through engagement with visionaries who have established modern Open Data Science technology and are pioneering its evolution. You’ll learn best practices and how other thought leaders are leveraging Anaconda to accelerate the value from their data.   Highlights from AnacondaCON … Continue Reading
  • Applied Machine Learning in Python - This course is #3 of 5 in the Applied Data Science with Python Specialization from the University of Michigan. From Coursera: “This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit. The issue of dimensionality … Continue Reading
  • Applied Plotting, Charting and Data Representation in Python - This course is #2 of 5 in the Applied Data Science with Python Specialization from the University of Michigan. From Coursera: “This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of … Continue Reading
  • Applied Social Network Analysis in Python - This course is #5 of 5 in the Applied Data Science with Python Specialization from the University of Michigan. From Coursera: “This course will introduce the learner to network modelling through the networkx toolset. Used to model knowledge graphs and physical and virtual networks, the lens will be social network analysis. The course begins with an understanding of what network modelling is (graph theory) and motivations for why we might model … Continue Reading
  • Applied Text Mining in Python - This course is #4 of 5 in the Applied Data Science with Python Specialization from the University of Michigan. From Coursera: “This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week … Continue Reading
  • Building a Data Science Team - This course is #2 of 5 in the Executive Data Science Specialization from Johns Hopkins University. From Coursera: “Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the … Continue Reading
  • Coursera Applied Data Science with Python Specialization - From Coursera: The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.” The … Continue Reading
  • Coursera Executive Data Science Specialization - From Coursera: “Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as … Continue Reading
  • Data Science in Real Life - This course is #4 of 5 in the Executive Data Science Specialization from Johns Hopkins University. From Coursera: “Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and … Continue Reading
  • DataQuest – Data Analyst Path - Learn how to manipulate and analyze data.
  • DataQuest – Data Scientist Path - Learn how to make inferences and predictions from data.
  • INFORMS Business Analytics Conference - From INFORMS 2017 Business Analytics Conference: “Why gamble with your analytics? Gain real-world insights into how to take the change out of your analytics strategy. Leading analytics professionals and industry experts come together to share ideas, network, and learn. Real-life examples show how data-based, analytical decisions can improve critical areas of business. Long-format talks give you the complete story of successful analytics projects from inception through implementation.” Previous Event: April … Continue Reading
  • Introduction to Data Science in Python - This course is #1 of 5 in the Applied Data Science with Python Specialization from the University of Michigan. From Coursera: “This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas … Continue Reading
  • JupyterCon 2017 - Upcoming Event: August 22-25, 2017 – New York, NY From JupyterCon: JupyterCon will bring together data scientists, researchers, educators, developers, and core Project contributors and tool creators in NYC for in-depth training, insightful keynotes, networking events, and practical talks exploring the Project Jupyter platform. JupyterCon focuses on real-world practices and how to successfully implement interactive computation in your workflow and projects. In just four days you’ll discover the best practices … Continue Reading
  • Machine Learning Engineer Nanodegree Program - From Udacity: “This program will equip you with key skills that will prepare you to fill roles with companies seeking machine learning experts (or to introduce machine learning techniques to their organizations). Machine learning is literally everywhere, and is often at work even when we don’t realize it. Google Translate, Siri, and Facebook News Feeds are just a few popular examples of machine learning’s omnipresence. The ability to develop machines and … Continue Reading
  • Managing Data Analysis - This course is #3 of 5 in the Executive Data Science Specialization from Johns Hopkins University. From Coursera: “This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a … Continue Reading
  • NIPS (Neural Information Processing Systems) Conference - From NIPS Conference site: “The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting” Next event:  December 4 – 9, 2017 – Long Beach, CA Registration begins August 17, 2017 Videos from NIPS Conference 2016: NIPS … Continue Reading
  • Open Data Science Conference (ODSC) East - Use Promo Code ODSC-BecomingDataSci for 5-20% off registration 2017 Event: May 3-5, 2017 – Boston, MA 2017 Speakers Tracks: Open Data Science, Machine Learning, Big Data Science, Open Visualization “ODSC – Open Data Science Conference – is essential for anyone who wants to connect to the data science community and contribute to the open source applications they use everyday. Our goal is to bring together the global data science community to help … Continue Reading
  • Open Data Science Master Class Summit - “The ODSC masterclass summit offers premium training taught by the best and brightest AI and data science instructors on the planet.  Our hands-on workshops and in-depth training sessions will help accelerate your career by quickly getting you up to speed on some of the most sought after skills in the job market.  Over two intense days of workshop and training modules, you will train on the hottest skills in data science including … Continue Reading
  • Predictive Analytics World – Chicago 2017 - Upcoming Event: June 19-22, 2017 – Chicago, IL Co-Located with PAW Manufacturing Conference: http://www.predictiveanalyticsworld.com/mfg/2017/ From Predictive Analytics World: Predictive Analytics World is the leading cross-vendor event for predictive analytics professionals, managers and commercial practitioners. The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail. 2017 Speakers Related
  • Predictive Analytics World – San Francisco 2017 - Upcoming Event: May 14-18, 2017 From Predictive Analytics World: Predictive Analytics World is the leading cross-vendor event for predictive analytics professionals, managers and commercial practitioners. he only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail. Overview of PAW Conference 2017 Speakers   Related
  • PyData Conference -   From PyData: “PyData brings together both users and developers of data analysis tools to share ideas and learn from each other. The goals are to provide data science enthusiasts, across various domains, a place to discuss how best to apply languages and tools to the challenges of data management, processing, analytics, and visualization. We aim to be an accessible, community-driven conference, with novice to advanced level presentations. PyData tutorials … Continue Reading
  • Southern Data Science Conference - “Southern Data Science conference is a one day event where data science pioneers nationwide will come to Atlanta to share their most recent research and development in the data science field. It’s an event organized by southern data scientists for the southern data science community.” Previous date: April 7, 2017 Speakers: http://www.southerndatascience.com/speakers Schedule: http://www.southerndatascience.com/schedule Blog: http://www.southerndatascience.com/blog Related
  • Tableau Conference - From Tableau Conference 2017: “You love data analytics; you strive to improve processes or geek out over security. You believe in the power of understanding data to inspire true innovation – and at Tableau Conference 2017, you’re not alone. This is where data people gather to learn, collaborate, and network, building a lasting community with the power to make a difference. The excitement is tangible – you’ll feel inspired from … Continue Reading
  • Udacity Artificial Intelligence Engineer Nanodegree Program - From Udacity: “Learn to Build the Impossible. Welcome to the Artificial Intelligence Nanodegree program, where virtually anyone on the planet can study to become an AI engineer! We’ve collaborated with leading innovators in the field to bring you world-class curriculum, expert instructors, and exclusive hiring opportunities.” Topics include: Search and Optimization Building Models of Probability Computer Vision Logic, Reasoning & Planning Natural Language Processing “This Nanodegree program consists of two terms … Continue Reading
  • Udacity Predictive Analytics for Business Nanodegree Program - From Udacity: “Advanced analytics without code. Business analysts equipped with the latest predictive analytics techniques bring tremendous value to an organization, enabling companies to take action with confidence. Through this program, you’ll master the most important predictive skills and tools, and you won’t need to know programming to do it! Free licenses to cutting edge software. Your enrollment includes educational licenses to two powerful analytics and data visualization tools, Alteryx Designer and Tableau … Continue Reading
  • Udacity Presents Siraj Raval’s Deep Learning Nanodegree Foundation Program - From Udacity: “Build your Deep Learning Foundations, and earn your Udacity credential! Artificial Intelligence is transforming our world in dramatic and beneficial ways, and Deep Learning is powering the progress. Together with Siraj Raval, Udacity provides a dynamic introduction to this amazing field, using weekly videos, exclusive projects, and expert feedback and review to teach you the foundations of this future-shaping technology.” Siraj’s bio: “I’m a Data Scientist, bestselling author, and … Continue Reading
  • Udacity Self-Driving Car Engineer Nanodegree Program - From Udacity: “Build the Future, Today! Welcome to the only program of its kind, where almost anyone in the world can learn to become a Self-Driving Car Engineer. We have partnered with the best companies in the field to offer world-class curriculum, expert instructors, and exclusive hiring opportunities. You’ll even get to run code on an actual autonomous vehicle! Topics include: Deep Learning Computer Vision Sensor Fusion Controllers Vehicle Kinematics Automotive … Continue Reading
  • University of Illinois – Master of Computer Science in Data Science - From Coursera: “With tuition under $20K, the MCS-DS is one of the most affordable gateways to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS builds expertise in four core areas of computer science: data visualization, machine learning, data mining and cloud computing, in addition to building valuable skill sets in statistics and information science with courses taught in collaboration with the University’s Statistics … Continue Reading



If you want to help support their work, please give $1/month or more on Patreon!

If you have used any of this content before, please rate it! Here's the link to sign up for an account: http://datasciguide.com/wp-login.php?action=register

Here's the RSS feed for this update blog: http://www.datasciguide.com/feed/

And if you really want it, here's the RSS feed with every piece of content as it gets added: http://www.datasciguide.com/feed/?post_type=content
This entry was posted in blog. Bookmark the permalink.