Events

2016


IBM Webinar:Why the Data Science Professional Benefits from Using Apache Spark

Apache Spark was specifically designed with the goal of having a unified stack of data processing and analytics capabilities all in one environment. The goal? To make it easier and faster for data professionals to perform data science, advanced analytics, and development on big data. One of the ways that Apache Spark instantly makes the […]

Week 8 – Data Science Bootcamp – A summer of data, analytics and insight (Toronto)

Ryerson University in partnership with BDU is proud to offer this FREE bootcamp in Toronto starting this May 20th, 2016. The Data Science Boot Camp provides hands-on training in skills necessary to be proficient in a data-centric world. Upon successful completion of the bootcamp requirements you will receive an IBM Data Science Foundations Verified badge. Details: Dates: […]

Week 7 – Data Science Bootcamp – A summer of data, analytics and insight (Toronto)

Ryerson University in partnership with BDU is proud to offer this FREE bootcamp in Toronto starting this May 20th, 2016. The Data Science Boot Camp provides hands-on training in skills necessary to be proficient in a data-centric world. Upon successful completion of the bootcamp requirements you will receive an IBM Data Science Foundations Verified badge. Details: Dates: […]

IBM Webinar: End to End Analytics in the Cloud with IBM

Leading businesses are leveraging Analytics to derive insights from data. IBM has a comprehensive, end-to-end set of capabilities for Analytics in the Cloud. This consists of cloud services to ingest a variety of data types, persist data in a logical data lake, perform Analytics processing, and use visualization to derive insights. Cloud services can seamlessly […]

Classification with Logistic Regression and Support Vector Machine(Toronto)

Theory section: – What is logistic regression – Logistic regression for classification and examples explained – What is support vector machine (SVM) –  SVM for classification and differences with logistic regression Hands-on section: – Example of logistic regression – Example of support vector machine – Use of cross validation for hyperparameter tuning. Speakers: Rogelio is a National […]

Data Science for Developers(Toronto)

Calling all developers interested in Data Science (and Big Data)! Big Data University in partnership with Lighthouse Labs is proud to invite all developers to attend a free 3-hour workshop. Details: Venue: Lighthouse Labs, 46 Spadina Ave, Suite 400, Toronto, ON  Date: Saturday, June 25th, 2016 Time:  2pm – 5pm In this workshop you will […]

Week 6 – Data Science Bootcamp – A summer of data, analytics and insight (Toronto)

Ryerson University in partnership with BDU is proud to offer this FREE bootcamp in Toronto starting this May 20th, 2016. The Data Science Boot Camp provides hands-on training in skills necessary to be proficient in a data-centric world. Upon successful completion of the bootcamp requirements you will receive an IBM Data Science Foundations Verified badge. Details: Dates: […]

IBM Webinar: Hadoop for the Open Enterprise: What’s New in IBM BigInsights 4.2?

Hadoop offers organizations unparalleled analytic opportunity and flexibility. However, the promise open source offers comes at a cost. Organizations want to spend less time creating an enterprise-ready Hadoop infrastructure, and more time gaining insights. Join the session to learn about IBM’s complete solution, including Spark, to scale analytics quickly and easily. Available on premises, on […]

Week 5 – Data Science Bootcamp – A summer of data, analytics and insight (Toronto)

Ryerson University in partnership with BDU is proud to offer this FREE bootcamp in Toronto starting this May 20th, 2016. The Data Science Boot Camp provides hands-on training in skills necessary to be proficient in a data-centric world. Upon successful completion of the bootcamp requirements you will receive an IBM Data Science Foundations Verified badge. Details: Dates: […]

IBM at the Big Data Conference & Exhibition

BIG DATA TORONTO is where you want to be. Whether you’ve recently been exposed to data, apply advanced analytics, a self-proclaimed ‘data geek’, passionate about New Tech, or even developing an App. Big Data Toronto will hold its 1st edition tech conference & exhibition. Free pass includes all access to speaker panels and workshops. IBM […]

Data Science Methodology – Hands-on workshop using data on food ingredients (Tokyo)

What does a data scientist actually do?  What are the steps in converting a business problem into a ​*data problem*​, and then solving it? Come and learn about data science methodology – the mental flowchart of data scientists – from start to end.  We will start from a high, theoretical level, then jump into interactive sessions […]

Week 4 – Data Science Bootcamp – A summer of data, analytics and insight (Toronto)

Ryerson University in partnership with BDU is proud to offer this FREE bootcamp in Toronto starting this May 20th, 2016. The Data Science Boot Camp provides hands-on training in skills necessary to be proficient in a data-centric world. Upon successful completion of the bootcamp requirements you will receive an IBM Data Science Foundations Verified badge. Details: Dates: […]

Introduction to Watson Analytics (Washington)

Sponsored by Information and Technology Systems Department in the Graduate School of the University of Maryland University College Sponsored by Information and Technology Systems Department in the Graduate School of the University of Maryland University College Abstract Watson Analytics offers cognitive, predictive, & visual analytics in an easy-to-use service you can use on your own to find […]

Analytics Strategies in the Cloud

Analytics Strategies in the Cloud: Understanding what drives your business using advanced analysis. There’s a fundamental shift occurring in the area of analytics – one that puts a greater emphasis on supporting business users. How can you make analytics easy for all users at your company – no matter what their skill level? Join us […]

Cluster Analysis(Toronto)

Cluster analysis (examples, and applications) Clustering is the most important unsupervised learning problem in machine learning. Join us in this meetup to learn about cluster analysis, and its applications. You will learn to partition a set of data points into groups or clusters where the data in each cluster is as similar as possible. It is a […]

Week 3 – Data Science Bootcamp – A summer of data, analytics and insight (Toronto)

Ryerson University in partnership with BDU is proud to offer this FREE bootcamp in Toronto starting this May 20th, 2016. The Data Science Boot Camp provides hands-on training in skills necessary to be proficient in a data-centric world. Upon successful completion of the bootcamp requirements you will receive an IBM Data Science Foundations Verified badge. Details: Dates: […]

Week 2 – Data Science Bootcamp – A summer of data, analytics and insight (Toronto)

Ryerson University in partnership with BDU is proud to offer this FREE bootcamp in Toronto starting this May 20th, 2016. The Data Science Boot Camp provides hands-on training in skills necessary to be proficient in a data-centric world. Upon successful completion of the bootcamp requirements you will receive an IBM Data Science Foundations Verified badge. Details: Dates: […]

Data Processing with Python (Toronto)

In a data science workflow, we often spend lots of time processing the data to prepare for any statistical analysis. In this Meetup, we will introduce the fundamental techniques of data processing using the powerful Pandas library in Python. In the second half of the session we will focus on exploratory analysis, including methods to […]

Week 1 – Data Science Bootcamp – A summer of data, analytics and insight (Toronto)

Ryerson University in partnership with BDU is proud to offer this FREE bootcamp in Toronto starting this May 20th, 2016. The Data Science Boot Camp provides hands-on training in skills necessary to be proficient in a data-centric world. Upon successful completion of the boot camp you will receive an IBM Data Science Foundations Verified badge. Details: Dates: […]

Python programming for Data Scientists (Istanbul)

Agenda • Who is a Data Scientist? • Data Science Tools and Skills • Python programming for Data Analysis (Hands-on section) • Data Analysis Demo/Case-study Description Python is a free, open-source programming language that has gained a lot of popularity in recent years. At this meetup, you will learn about Python from a beginner level to working with data. Event […]

Data Science Methodology and Predictions (Shanghai)

Come and join Leo Wu and Saeed Aghabozorgi, IBM Canada, to learn about data science. What are data science challenges and opportunities? What are all the steps that a Data Scientist goes through when faced with a data problem? Using a large dataset on historical flight records, Saeed will demonstrate how to explore, clean, create […]

Introduction to Big Data and Hadoop (Toronto)

What is Big Data? How do we tackle Big Data? Why are we interested in it? What is a Big Data platform? This meetup will emphasize that we study Big Data to gain insight that will be used to get  people throughout the enterprise to run the business better and to provide better service to […]

Data Science with Spark (Bangalore)

Hi Spark Enthusiasts, We have finalized our agenda for the meetup on Saturday, April 16th. Data Scientist Saeed Aghabozorgi from IBM’s Toronto Lab will talk about Data Science as it relates to Spark and show some demos. Agenda: • Data Science and Spark • Intro to Big Data University • Data Scientist Workbench • Spark programming with Python • Spark streaming demo […]

Panel Discussion On Developing Skills and Competencies (Mumbai)

Panel Discussion Developing Skills and Competencies for Data Science, Business analytics, Big Data Mr. Bhupesh Daheria, CEO, Aegis School of Business Mr. Tushar Kale, Big Data Evangelist, IBM Mr. Paramantapa Dasgupta, Program Manager, IBM Career Education  Dr. Saeed Aghabozorgi, Sr. Data Scientist, IBM Location: Aegis School of Business & Telecommunication 5th Floor, CETTM, Technology Street […]

Introduction to Python for Data Science (Washington)

Python is a free, open-source programming language that has gained a lot of popularity in recent years. At this meetup, you will learn about Python from a beginner level, including basic syntax, creating custom functions, sequences, and reading in data. Topics Covered: What is Python? Python fundamentals (syntax, operators, sequences, functions, methods) Hands-on Section: try […]

Introduction to Python (Ottawa)

Python is a free, open-source programming language that has gained a lot of popularity in recent years. At this meetup, you will learn about Python from a beginner level, including basic syntax, creating custom functions, sequences, and reading in data. Topics Covered: What is Python? Python fundamentals (syntax, operators, sequences, functions, methods) Hands-on Section: try […]

Data Science Methodology+Classification (Toronto)

Data Science Methodology + Classification What does a data scientist do when given a business problem? What are the steps in converting a business problem into a ​*data problem*​, and then solving it? Come and learn about data science methodology – the mental flowchart of data scientists – from start to end. We will start from […]

Big Data, Big Impact – Judging (Vancouver)

“Big Data Big Impact” (organized by DataSense, IONA Journal of Economics, and IBM’s Big Data University) aims to bring participants a one week, cross-disciplinary event focused on using data science to evaluate one of the United Nations Sustainable Development Goals. Everybody is welcome to participate (that means current students, alumni, etc from any University in Vancouver such as UBC, […]

Introduction to Watson Analytics (Toronto)

  Abstract Watson Analytics offers cognitive, predictive, & visual analytics in an easy-to-use service you can use on your own to find answers in your data. Agenda Introduction to Watson Analytics 10min Data Upload and Refinement 15min Data Exploration 15min Predictive Analytics 30min Dashboard & Visualization creation 20min Please ensure that the following is done […]

R programming/Data Science Methodology(Hands-on) (Washington)

NOTE:  PLEASE NOTE DATE CHANGE TO MARCH 7TH.   Abstract: R is a free, open-source programming language that has gained a lot of traction in recent years among statisticians, researchers, and data scientists alike. But what does a data scientist do and how can R be used as a tool in data science? In this […]

Big Data, Big Impact – Follow up Q&A (Vancouver)

“Big Data Big Impact” (organized by DataSense, IONA Journal of Economics, and IBM’s Big Data University) aims to bring participants a one week, cross-disciplinary event focused on using data science to evaluate one of the United Nations Sustainable Development Goals. Everybody is welcome to participate (that means current students, alumni, etc from any University in Vancouver such as UBC, […]

Analytics for All with IBM Watson Analytics (Markham)

NOTE: This is an event with the Association of Chinese Senior IT Professional .  Parts of this meetup will be delivered in Chinese. The era of cognitive computing is upon us. IBM Watson is an example of a Cognitive System, the next wave of computing. Best known for being the computer that won American quiz […]

Introduction to Data Science using R programming (Montreal)

Data Science Workshop Series (For Beginners)  After an amazing first event late last year, we are back with our second meetup discussing Data Science topics for beginners. If this is the first time attending, don’t worry, there is no pre-requisite! Abstract: R is a free, open-source programming language that has gained a lot of traction […]

Big Data, Big Impact – Data Science Session (Vancouver)

“Big Data Big Impact” (organized by DataSense, IONA Journal of Economics, and IBM’s Big Data University) aims to bring participants a one week, cross-disciplinary event focused on using data science to evaluate one of the United Nations Sustainable Development Goals. Everybody is welcome to participate (that means current students, alumni, etc from any University in Vancouver such as UBC, […]

Introduction to Data Science using R programming (Ottawa)

Data Science Workshop Series (For Beginners)  After an amazing first event late last year, we are back with our second meetup discussing Data Science topics for beginners. If this is the first time attending, don’t worry, there is no pre-requisite! Abstract: R is a free, open-source programming language that has gained a lot of traction […]

Ensuring Data Hygiene at Mobify

We’ll be hosting Boris Lau from Mobify, where he will talk about his experiences as a Data Engineer. We will also include a quick introduction and demo of IBM’s Data Scientist Workbench, a cloud-based suite of tools for data science anywhere. Summary “Dirty” data is the most annoying thing Data Scientists have to deal with. When dates […]

Introduction to Python for Data Science (Toronto)

Python is a free, open-source programming language that has gained a lot of popularity in recent years. At this meetup, you will learn about Python from a beginner level, including basic syntax, creating custom functions, sequences, and reading in data. Topics Covered: What is Python? Python fundamentals (syntax, operators, sequences, functions, methods) Hands-on Section: try […]

2016 Spark Summit East

Spark Summit, the largest big data event dedicated to Apache Spark will be back in NYC in 2016. Join us from Tuesday, February 16 through Thursday, February 18 2016 at the New York Hilton Midtown. Hear from leading production users of Spark, Spark SQL, Spark Streaming and related projects; find out where the project development […]

Datapalooza 2016

Datapalooza February 9-11 in Seattle http://www.spark.tc/datapalooza/ Want to build super-powered data products? Want to have algorithmic inspiration with new data sources like Weather, Twitter and more? Trying to figure out what to do with Internet of Things, machine learning and other emerging technologies? This will be an amazing 3 days of learning how to be […]

Introduction to R Programming (Toronto)

http://bit.ly/2016bdur 1. Download the R notebook to your computer: http://bit.ly/2016bdur 2. Log into Data Scientist Workbench. 3. Click on Build Analytics > Python/Jupyter Notebook, which opens the Notebook interface. 4. Drag-and-drop the notebook from your computer into the browser, and it will automatically upload to DSWB.   R is rapidly becoming the leading programming language […]

Getting Started with Data Science (Tokyo)

Welcome to the first event for Big Data University – Tokyo!   What’s Big Data University? How is it related to Data Science? At Big Data University, our goal is to train and educate aspiring data scientists and data engineers through meetups and through our online courses, all for free. Topic: “Getting Started with Data Science” →日本語版はこちら […]

Getting started with Data Science (Toronto)

  Ryerson University – Student Learning Centre – Launch Zone (3rd Floor) 341 Yonge Street, Toronto, ON Welcome to 2016! In our first meetup in 2016 we will be starting a new cycle for beginners with a series of hands-on workshops about Data Science.  If you are new to this meetup, or want to listen one more […]

2015


SportsHack 2015 Winner Announcement

Two days. Three cities and participants from across Canada. SportsHack brought together teams of hackers in Toronto, Vancouver and Halifax to compete in developing innovative sports-related software solutions. This year, in partnership with the Canadian Football League (CFL), SportsHack challenged you to develop real world technologies from the CFL’s real world data. Participants are applyed […]

SportsHack 2015 Panel Discussion

Two days. Three cities and participants from across Canada. SportsHack brought together teams of hackers in Toronto, Vancouver and Halifax to compete in developing innovative sports-related software solutions. This year, in partnership with the Canadian Football League (CFL), SportsHack challenged you to develop real world technologies from the CFL’s real world data. Participants are applyed […]

SportsHack 2015 – Opening Reception

Two days. Three cities and participants from across Canada. SportsHack brings together teams of hackers in Toronto, Vancouver and Halifax to compete in developing innovative sports-related software solutions. This year, in partnership with the Canadian Football League (CFL), SportsHack challenges you to develop real world technologies from the CFL’s real world data. Participants are applying […]

Hands-on: Apply analytics/data science skills w/real sports data – SportsHack 2015 Prep event Lighthouse Labs (Toronto)

Location: Lighthouse Labs – 639 Queen Street West, 3rd floor, Toronto, ON We are approaching the end of our first Data Science Workshop series cycle that started back in September 2015. After 16 meetup sessions many of you are familiar with the tools and techniques used to analyze data. Now is your chance to apply […]

City of Vancouver Data Science Competition – Talks by the top 8 submissions

Top 8 submissions from DataSense’s City of Vancouver Data Competition Wednesday November 25 2015 5:30 PM – 7:30 PM Michael Smith Laboratories, Room 102, 2185 East Mall V6T 1Z4, Vancouver, BC,Canada Abstract:  In anticipation of SportsHack, DataSense and Big Data University are co-hosting a pre-competition to get in the mindset of analyzing data. Your mission is to analyze the Business Licence […]

Lighthouse Labs – SportsHack 2015 Preparation Session

Join us on November 23, 2015 at 6pm at Lighthouse Labs #300 – 128 W Hastings, Vancouver, BC for a hackathon preparation meetup. This Hackathon Preparation meetup has been created to support SportsHack 2015 (sportshackweekend.org) a tech hack specific to Sports in Toronto, Halifax and Vancouver. It’s a great chance to network and potentially form teams for the hack which […]

Hackathon Preparation for SportsHack 2015 (Vancouver)

Join us on November 19, 2015 at 6pm at Djavad Mowafaghian World Art Centre at the Goldcorp Centre for the Arts at 149 W Hastings, Vancouver, BC (Room 2555) for a hackathon preparation meetup. This Hackathon Preparation meetup has been created to support SportsHack 2015 (sportshackweekend.org) a tech hack specific to Sports in Toronto, Halifax and Vancouver. It’s […]

SportsHack 2015 Halifax Prep Event

SportsHack 2015 Halifax Prep Event Volta – Halifax Startup House Thursday, 19 November 2015 from 6:00 PM to 8:00 PM (AST), Halifax, Nova Scotia Join the IBM team at Volta on November 19th to find out more about the data sets we’ll be using for SportsHack, a national hackathon using data from the Canadian Football League […]

Hands-on: Apply analytics/data science skills w/real sports data – SportsHack 2015 Prep event UoIT (Oshawa)

Location: UoIT, Oshawa, ON Ready. Set. Hack   UOIT Brilliant Entrepreneurship is pleased to announce we will be hosting the Sportshack 2015 Prep Event in the UB Atrium on November 18th from 6:00-8:00pm! The Prep Event: The purpose of this event is to help teams learn about the SportsHack 2015 event, form ideas, learn how to […]

City of Vancouver Data Science Competition

  In anticipation of SportsHack, DataSense and IBM Big Data University is hosting a pre-competition to get in the mindset of analyzing data. Your mission, should you choose to accept it, is to analyze a dataset from the City of Vancouver so that we can learn more about our great city. We challenge you (in […]

Hands-on: Apply analytics/data science skills with real sports data – SportsHack 2015 Prep event (Toronto)

Location:  Ryerson University – Digital Media Zone (DMZ), 10 Dundas St. E, Toronto, ON (6th Floor) We are approaching the end of our first Data Science Workshop series cycle that started back in September 2015.  After 16 meetup sessions many of you are familiar with the tools and techniques used to analyze data. Now is […]

Getting started with Data Science and Introduction to Watson Analytics (Washington)

Sponsored by Information and Technology Systems Department in the Graduate School of the University of Maryland University College Abstract Join us for our inaugural meetup in Washington DC!  This will be an exciting event with presentations and demos!  Because this is our first meetup, we will have three different but related topics for different skill levels. […]

DataPalooza

Datapalooza Nov 10-12 in San Francisco  http://www.spark.tc/datapalooza/ http://datapalooza.github.io/ Want to build super-powered data products? Want to have algorithmic inspiration with new data sources like Weather, Twitter and more? Trying to figure out what to do with Internet of Things, machine learning and other emerging technologies? This will be an amazing 3 days of learning how […]

RHBA – Social Media for Social Change Case Competition

RHBA in collaboration with RCS, IBM, Big Data University, and Ryerson’s Social Media Lab present: Social Media for Social Change Case Competition Venue: LaunchZone (Ryerson University, Student Learning Centre Building, 3rd Floor – 341 Yonge Street, Toronto) Date: Saturday, November 7th, 10:30am – 7:00pm Prizes: 1st Place:  $500 and dinner with the VP of Watson Analytics […]

Getting started with Data Science and Introduction to Watson Analytics (Ottawa)

Abstract Join us for our inaugural meetup in Ottawa!! This will be an exciting event with a great guest speaker, Dr. Murtaza Haider, Author and Professor at Ryerson University. You will also have the opportunity to see demos of amazing tools! Dr. Haider will present about how to get started with Data Science. Dr. Murtaza Haider, […]

Getting started with Data Science and Introduction to Watson Analytics (Vancouver SFU)

What is Data Science, and why is it important? In an article published in The Vancouver Sun in 2014, Rob White, vice­ president of mergers and acquisitions for IBM Canada in Ottawa stated: “Being able to manage, organize and store data is important of course, but being able to take that data to gain insights and create […]

Getting started with Data Science and Introduction to Watson Analytics (Vancouver)

Abstract We will have a presentation and demo about Watson Analytics Watson Analytics offers cognitive, predictive, & visual analytics in an easy-to-use service you can use on your own to find answers in your data. You don’t need to be a data scientist to get started. If you know how to work with Excel, you […]

Analytics for All with Watson Analytics (Toronto)

  Join us in this hands-on Workshop with Watson Analytics experts. Go through an end-to-end scenario where you start from basic raw data, and end up with visualizations and insight! Watson Analytics is a Cloud offering with a free tier! Pre-requisites: Sign up to the free version of Watson Analytics prior to the event at […]

Introduction to Watson Analytics and Data Science (Vancouver Meetup)

Abstract: Join us on our first Data Science Vancouver Meetup at UBC (Pharmaceutical Sciences Building – Room 1101) on Tuesday, November 3, 2015 at 5:30pm. Held in collaboration with DataSense, this exciting event will feature:   1) A panel about how to get started in Data Science Panelists will answer questions like, “What are local […]

Getting Started with Data Science and Watson Analytics (Montreal)

Abstract Join us for our meetup in Montreal! This will be an exciting event with a great guest speaker, Dr. Murtaza Haider, Author and Professor at Ryerson University. You will also have the opportunity to see demos of amazing tools! Dr. Haider will present about how to get started with Data Science. Dr. Murtaza Haider, has […]

Data Mining Algorithms (Toronto)

Topics covered: This meetup is for beginners in data science who want a broad overview of the tools and techniques used in data science. We will cover what the following techniques are, when they are used, examples, and a quick demo of each: 1. Linear Regression, with demo 2. Classification (demo using classification trees) 3. […]

Advanced: Machine Learning – Prediction with Artificial Neural Networks

In this meetup, Armando Benitez will introduce an important tool used in machine learning: Artificial Neural Networks. Mimicking how neurons work in the brain, artificial neural networks are statistical models that attempt to learn on its on, whether it is through supervised or unsupervised methods. Armando will also discuss deep learning, or deep neural networks, a branch of […]

Introduction to Data Analysis in Python

Topic: In this meetup, Xu Fei reviews the fundamentals of data cleaning and analysis using Pandas in Python: from cleaning NaN values, renaming columns, to shifting row in dataframes. Xu Fei then covers pivot tables and how the groupby function works with Pandas dataframes. He ends on creating visualizations using matplotlib, and introduces new quick-and-easy styling methods […]

Machine Learning – Classification with Logistic Regression (Hands On)

What is Logistic Regression and how are they used for classification in machine learning? In this meetup, we will introduce logistic regression and review how it differs from other prediction algorithms. Topics covered: – What is logistic regression? – How is logistic regression used for prediction? – What is the math behind logistic regression? – […]

R programming and Data Science Methodology (hands-on)

Abstract: R is a free, open-source programming language that has gained a lot of traction in recent years among statisticians, researchers, and data scientists alike. But what does a data scientist do and how can R be used as a tool in data science? In this meetup, we discuss R fundamentals on Data Scientist’s Workbench […]