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Learning Paths

This learning path is designed for anyone interested in quickly getting up to speed with using IBM Watson Studio.

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Data Refining Simplified: 5 Part Series

Lead Architect for Watson Studio , Sonali, walks users through how Data Refinery accelerates the end-to-end experience of refining data from development to production.

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Model Deployment

Create and Deploy a Machine Learning model without coding

Learn about creating, evaluating and deploying a Machine Learning model without writing a single line of code.

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How-To Videos

Watch how-to videos to learn about Watson Studio, Watson Machine Learning, and Watson Knowledge Catalog.

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Digital Technical Engagement Demos

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Watson Studio

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

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Watson Studio AutoAI

AutoAI in Watson studio automatically analyzes your data and generates candidate model pipelines customized for your predictive modeling problem. It categorizes data as needed, does features engineering and optimizes hyperparameters to get the best possible model. 

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Watson Studio Desktop

Empower your data science and AI teams to refine data, visually build models and deploy using data on the desktop for anytime, anywhere access.

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Watson Machine Learning

Help data scientists and developers work together to accelerate the process of moving to deployment and integrating AI into your applications.

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Watson Studio Streams Flow

You can design a new streams flow on a easy-to-use canvas in IBM Watson Studio. By using examples that are ready for immediate use, a wizard, or sample data that we provide, your streams flow can be running in a matter of minutes. The streams flow is deployed to the industry-leading IBM Streaming Analytics service, which offers best-in-class analytics and optimization.

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IBM Decision Optimization for Watson Studio

IBM® Decision Optimization for Watson Studio enables data science teams to capitalize on the power of prescriptive analytics and build solutions using a combination of techniques like machine learning and optimization.

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Watson Studio Modeler Flows

The Modeler Flows tool in Watson Studio provides a drag and drop editor to create models based on SPSS Modeler or Spark. The resulting models can be easily saved and deployed.

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Tutorial Collections

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IBM Watson Medium

A set of tutorials from experts and community members seeking to share guided tutorials and best practices around leveraging Watson products to guide you through your AI journey.

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IBM Developer

A collection of tutorials from the IBM Developer Team for Watson Studio and Machine Learning that provide step-by-step instructions that a developer can follow to complete a specific task or set of tasks.

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Courses

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Data Visualization with Python

The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people.

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Python for Data Science

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.

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IBM Data Science Professional Certificate

Kickstart your career in Data Science and ML.  Master data science, learn Python, & SQL, analyze and visualize data, build machine learning models 

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Watson Studio Essentials

The badge earner has a foundational understanding of Watson Studio, and is able to perform the following tasks: set up projects; add data to projects; explain the purpose of notebooks and how to use them; analyze data; get public data assets from the Community; and use RStudio within Watson Studio.

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Webinars

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Power of Open Source + IBM Data Science Pt 1: Build and deploy Notebooks for better predictions

With IBM, you can put your favorite tools to work —open source, IBM and IBM eco system tools. Join this 2-part technical deep dive Webinars and learn how to succeed in data science and AI from the IBM data scientists.

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Power of Open Source + IBM Data Science Pt 2: Bring natural language and images to improve results

With IBM, you can put your favorite tools to work —open source, IBM and IBM eco system tools. Join this 2-part technical deep dive Webinars and learn how to succeed in data science and AI from the IBM data scientists.

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AI and Data Science: Future of work with human and machine intelligence

Packed with solution demonstrations and discussions, this webinar walks you through how you can benefit from IBM Cloud Pak for Data, a data and AI platform to modernize your enterprise with containerized, micro-service based applications. In addition, a personalized medicine use case is used to demonstrate how to put Watson Studio, Watson Machine Learning and Watson OpenScale to work in predicting patient outcomes, building apps and optimizing operations.

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Virtual Data Science Camp Fall Edition - Part 1 Tips and tricks or treat ... how to start on the right foot with data science

Are you getting into the data science game? Do you want to get your skills up to speed so that you can showcase your knowledge immediately? Data science seems daunting but if you have the right tools and resources, you can start contributing right away. Join me to learn how to boost your data science skills.

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Virtual Data Science Camp Fall Edition - Part 2 Bring SPSS and open source skills together

Skill set and constantly having to learn about new tools in data science are still very challenging. Whether you are a user of SPSS Modeler, Watson Studio or Open Source tools, you can update and bring your data science projects to production quickly into a unified environment. Come and learn about collaboration and deployment with IBM Data Science.

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Virtual Data Science Camp Fall Edition - Part 3 Common patterns for predictive and prescriptive analytics

The lines across industry use cases are blurring- many use cases are applicable and proven across multiple industries. You can choose and learn the use cases with high likelihood of success -churns, price optimization, workforce planning and demand/supply matching. Check out this session to learn about the real-world scenarios of putting data science to work for business!

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Build fraud detection models your way – programmatically, visually or AI-assisted

This special webinar highlights the new release of Watson Studio and Watson Machine Learning along with a new packaging of SPSS Modeler, which will allow SPSS Modeler customers to leverage the power of Watson Studio.

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Deep dive on automating feature engineering

This special series is presented by the lead data scientists and domain experts across IBM. Watch ondemand now to boost your data science skills to the next level.

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IBM Watson Studio: Accelerating Data Prep with Human Data Labelers

Artificial Intelligence requires a ton of data to be properly trained, but it's difficult to build a high quality, structured training set from unstructured data. To succeed with your AI initiative, you can’t just rely on AI tools to label your training data, you also need humans to label data.

In this webinar you'll learn how IBM Watson Studio has partnered with Figure Eight and DefinedCrowd, two industry leading platforms that leverage humans to annotate data sets to train models. These integrated technologies will create a single solution that combines human intelligence and machine learning capabilities to accelerate enterprise AI initiatives.

Learn how you can leverage human data annotation within IBM Watson Studio for some of the most in demand workflows (natural language classification and sentiment analysis). You'll also learn about use cases for image categorization, natural language classification, sentiment analysis, and content moderation.

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Speed up your AI journey with self-service data preparation in an integrated Cloud platform

With the rising popularity of AI applications, preparation of data to train the machine learning models is becoming increasingly important. In a recent Ovum survey, data scientists have said that they are spending up to 80 percent of their time finding, cleaning, and reorganizing data and only 20% in actual data analysis. Even before this data can be prepped for AI, it has to be accessed through a proper governance model to make sure only right people have access. Once the data has been processed, it has to be integrated with rest of AI life cycle. Doing it all in a single platform speeds up the model building and deployment process.
 

In this webinar, you will hear, what challenges data scientists are facing in preparing data for AI and how IBM's Data Refinery - built within Watson Studio and Watson Knowledge Catalog - is addressing the issue. You will also see a demo of key features of the product and how Watson Studio provides an integrated platform for complete AI life cycle.

 

SPEAKERS:

Paige Bartley, Ovum

Paige is a Senior Analyst in Ovum's Data and Enterprise Intelligence team specializing in all aspects of the data lifecycle including creation, cleansing, security, privacy, and productivity. Working across the information management space, Paige researches how data use affects both large organizations and individuals alike. She provides insight and analysis into data ROI and successful organizational strategy. Paige’s other areas of expertise include data prep, regulatory and legal matters, data quality, unstructured data and NLP, master data management, records management, and neuroscience and cognitive science. Prior to joining Ovum in 2016, she worked in research and marketing for ZL Technologies.

Carmen Bommireddipalli is a Senior Offering Manager for IBM Watson Studio. In this role, Carmen works to build the next generation of self service data prep and analytics tools. Before moving to offering management, she led several software development teams in the data science and machine learning field.

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Videos

Introduction to AutoAI Experiment


Introduction to AutoAI Experiment
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Predict the effect of future sales promotion using AutoAI capabilities within IBM Watson Studio

Predict the effect of future sales promotion using AutoAI capabilities within IBM Watson Studio
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Using AutoAI to predict house prices

Using AutoAI to predict house prices