This collection of learning assets focus on building machine learning models.

Job Role / Skills : Data Scientist/Business Analyst/Developer

  • Basic to Intermediate
  • 96.3 hours
  • Multiple
  • 41 Assets

What Outcome(s) are you aiming for?






- Getting Started (Select one or more checkboxes to see learning content) (3)
Track

Artificial Intelligence Concepts (W68003T)

Basic 1.0 hour Self-paced No Cost

Terms and concepts related to artificial intelligence (AI), including augmented intelligence, machine learning, deep learning, neural networks, and natural language processing, can be confusing at first glance. This course explains common AI concepts us

Artificial Intelligence Concepts

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Watson & Cloud Foundations (W61001T)

Basic 2.5 hours Self-paced No Cost

New to IBM Watson and IBM Cloud? Start with this introductory 2 1/2 hr course! Upon completion of this course you should have a foundational understanding of IBM Watson and IBM Cloud. You should be able to articulate how IBM Watson is Data and AI for

Watson & Cloud Foundations

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Watson data identification, collection, and curation (W68002T)

Basic 0.5 hour Self-paced No Cost

Successfully developing Watson-based solutions depends heavily on using the right data. The level of effort required to identify, collect, and curate that data is frequently underestimated. This course is designed to help the learner identify challeng

Watson data identification, collection, and curation

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- Build AI Models (14)
Track

Get Started with IBM Watson Studio

Basic 0.1 hour Self-paced No Cost

Analyze data using RStudio, Jupyter, and Python in a configured, collaborative environment that includes IBM value-adds, such as managed Spark. Watson Studio offers all this
functionality, including a single workspace for your tools, a searchable, growing community, shareable, collaborative projects, supporting content, where you need it. Sign up for a
free trial and then create a project and notebook with load and analyze the data.

Get Started with IBM Watson Studio

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Watson Studio Essentials (DL67003G)

Basic 0.5 hour Self-paced No Cost

An interactive, collaborative, cloud-based environment where data scientists can use multiple tools to activate their insights. Data scientists can work with a growing set of data science tools such as RStudio, Jupyter, Python, Scala, Spark, IBM Watson

Watson Studio Essentials

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IBM Watson Studio Dashboard Essentials (DL67013G)

Basic 1.0 hour Self-paced No Cost

With Business Analytics Dashboards inside Watson Studio, you can explore data and share compelling visualized results through interactive dashboards created within a powerful drag a drop authoring environment.

IBM Watson Studio Dashboard Essentials

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IBM Watson Studio

3.0 hours Multiple No Cost

Watson Studio lets you build and deploy an AI solution, using the best of open source and IBM software and giving your team a single environment to work in. View demonstration videos, tour the product and try a hands-on tutorial.

IBM Watson Studio

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Work with Data Connections in Watson Studio

Basic 0.1 hour Self-paced No Cost

Learn how to set up data connections to IBM Cloud and external services in IBM Watson Studio.

Work with Data Connections in Watson Studio

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Load and Analyze Public Data Sets in Watson Studio

Basic 0.1 hour Self-paced No Cost

Learn how to work with public data sets that are available within IBM Watson Studio.

Load and Analyze Public Data Sets in Watson Studio

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Manage Object Storage in Watson Studio

Basic 0.1 hour Self-paced No Cost

In IBM Watson Studio, when you create a project, a cloud object storage instance is also provisioned for you. Then all data assets that you add to that project, are stored in the
Cloud object store.
Learn how easy it is to manage an object storage instance through Watson Studio as it is through IBM Cloud.

Manage Object Storage in Watson Studio

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Watson Studio Modeler Flows: Introduction

Basic 0.1 hour Self-paced No Cost

Learn how Watson Studio Modeler Flows can speed up the creation of machine learning and deep learning models.

Watson Studio Modeler Flows: Introduction

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Watson Studio Neural Network Modeler

Basic 0.1 hour Self-paced No Cost

See the rich capabilities of Watson Studio Neural Network Modeler that enable the creation of image recognition models.

Watson Studio Neural Network Modeler

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Watson Studio Modeler Flows: SPSS Runtime

Basic 0.1 hour Self-paced No Cost

See how Watson Studio takes advantage of the rich capabilities of SPSS to quickly create machine learning models.

Watson Studio Modeler Flows: SPSS Runtime

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Watson Studio Modeler Flows: Spark Runtime

Basic 0.1 hour Self-paced No Cost

See how Watson Studio Modeler Flows uses the Spark Runtime to quickly create machine learning models.

Watson Studio Modeler Flows: Spark Runtime

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Load Db2 Warehouse on Cloud Data with Apache Spark in Watson Studio

Basic 0.3 hour Self-paced No Cost

Learn how to create a connection to Db2 Warehouse on Cloud (formerly dashDB for Analytics) data in IBM Analytics for Apache Spark, and load data in a Scala notebook in
Watson Studio.

Load Db2 Warehouse on Cloud Data with Apache Spark in Watson Studio

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Use Spark Streaming for Sentiment Analysis in Watson Studio

Intermediate 0.4 hour Self-paced No Cost

Use Apache Spark Streaming in combination with IBM Watson Tone Analyzer and PixieDust to perform sentiment analysis and track how a conversation is trending on Twitter in
a Python notebook in IBM Watson Studio. The notebook lets you analyze the data and produce compelling, insight-revealing visualizations.

Use Spark Streaming for Sentiment Analysis in Watson Studio

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Build Deep Learning Architetures With Neural Network Modeler

Intermediate 0.3 hour Self-paced No Cost

This video shows you how to build a deep learning model using a popular cifar10 data set.

Build Deep Learning Architetures With Neural Network Modeler

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- Build AI Models without coding (9)
Track

IBM SPSS Modeler

Intermediate 1.6 hours Multiple No Cost

IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making. View demonstration videos, tour the product and try a hands-on tutorial.

IBM SPSS Modeler

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Explore the Key Capabilities of IBM SPSS Modeler

Basic 0.5 hour Self-paced with labs No Cost

IBM SPSS Modeler is powerful, code-optional data science workbench. You will experience how you can create, train and deploy a machine learning model for customer churn without having to write a single line of code.

In this tutorial, you will explore the following key capabilities of IBM SPSS Modeler:

- See how you can connect and prepare data sources
- See how data can be audited and enriched
- Learn how to use powerful auto-modeling nodes in IBM SPSS Modeler
- Learn how easy it is to use a trained machine learning model on new data

Explore the Key Capabilities of IBM SPSS Modeler

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IBM SPSS Modeler 18.2 and The New User Interface

Basic 0.1 hour Self-paced No Cost

This video introduces brand new user interface included in IBM SPSS Modeler 18.2 and provides an overview of the new chart builder.

IBM SPSS Modeler 18.2 and The New User Interface

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IBM SPSS Modeler: Access Data

Basic 0.1 hour Self-paced No Cost

You will gain an understanding of how to access a variety of data sources and merge them in IBM SPSS Modeler.

IBM SPSS Modeler: Access Data

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IBM SPSS Modeler: Manipulate Data

Basic 0.1 hour Self-paced No Cost

You will learn how you can manipulate data in a stream and ready it for analysis.

IBM SPSS Modeler: Manipulate Data

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IBM SPSS Modeler: Analyze Data

Basic 0.2 hour Self-paced No Cost

Learn how you can analyze your data with SPSS Modeler.

IBM SPSS Modeler: Analyze Data

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IBM SPSS Modeler: Deploy Analysis Results

Basic 0.1 hour Self-paced No Cost

Learn how the models you’ve developed and validated in SPSS Modeler are put into use.

IBM SPSS Modeler: Deploy Analysis Results

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Test Drive IBM SPSS Modeler

Basic 0.3 hour Self-paced No Cost

In this guided demo, you use IBM SPSS Modeler to build a machine-learning model to predict which customers might leave your service.

Test Drive IBM SPSS Modeler

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Text Analytics in IBM SPSS Modeler 18.2

Basic 0.2 hour Self-paced No Cost

Learn how to use the text analytics capabilities included in IBM SPSS Modeler 18.2

Text Analytics in IBM SPSS Modeler 18.2

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- Pre-Built Apps (2)
Track

Watson Assistant Foundations (W65014T)

Basic 1.5 hours Self-paced No Cost

Watson Assistant Foundations is an introductory course that covers a primer on different types of chatbots, the purpose and core responsibilities of the Watson Assistant service, an overview on service integration, service features, a short demonstration

Watson Assistant Foundations

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How to build a chatbot - IBM Watson

Intermediate 2.0 hours Self-paced No Cost

Build, deploy, and optimize chatbots quickly and efficiently with Watson Assistant. Get started with 10,000 free API calls a month.

How to build a chatbot - IBM Watson

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- Go deeper with paid learning assets (Fee based) (1)
Track

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