IBM Watson Analytics Training
Introduction to IBM Watson Analytics
Gain a comprehensive overview of IBM Watson Analytics, a powerful cloud-based analytics tool. Learn about its core features, capabilities, and how it helps in data exploration and visualization.
Getting Started with Watson Analytics
Learn how to set up and navigate IBM Watson Analytics. Understand the user interface, basic functionalities, and how to get started with your data analysis journey.
Data Import and Preparation
Discover how to import and prepare data for analysis in Watson Analytics. Learn about data sources, data cleaning, and transformation techniques to ensure your data is ready for analysis.
Exploratory Data Analysis
Explore techniques for performing exploratory data analysis with Watson Analytics. Learn how to use visualizations, summaries, and statistical methods to understand your data better.
Data Visualization and Reporting
Learn how to create and customize data visualizations and reports using IBM Watson Analytics. Understand different visualization types, how to interpret results, and how to share your findings effectively.
Advanced Analytics Techniques
Delve into advanced analytics techniques in Watson Analytics. Explore predictive analytics, trend analysis, and how to use advanced features to gain deeper insights from your data.
Integration with Other Tools
Discover how to integrate IBM Watson Analytics with other tools and platforms. Learn about data connectors, API usage, and how to leverage integrations for enhanced data analysis capabilities.
Collaboration and Sharing
Learn about collaboration and sharing features in Watson Analytics. Understand how to work with teams, share insights, and collaborate on data projects effectively.
Security and Data Governance
Understand the security and data governance aspects of IBM Watson Analytics. Learn about data protection, user access management, and compliance with industry standards and regulations.
Best Practices and Case Studies
Explore best practices for using IBM Watson Analytics effectively. Review case studies and real-world examples to understand successful implementations and strategies for data analysis.
Hands-On Labs and Projects
Apply your knowledge through hands-on labs and projects. Work on practical scenarios to develop skills in data analysis, visualization, and reporting using IBM Watson Analytics.
IBM Watson Analytics Syllabus
Overview of oneWEX
- Using Application Builder with oneWEX
- Explore oneWEX Architecture
- Identify Installation Options
Navigation in oneWEX
- Explore the Admin Console
- Explore Navigation Using Content Miner
- The Collection Detail View
- The REST API
Data Flow
- Explore the Data Flow of oneWEX
- Search and Analytics Collection Templates
Identify Data Acquisition
- Data Ingestion
- Work with Datasets
- Work with Crawlers
- Use an Importer
- Explore Conversion
- Data Ingestion Log Files
Analysis Using oneWEX Content Miner
- Explore Analysis Using Content Miner
- The Guided Analysis Experience
- The Guided Analysis View
Explore Annotators
- Enrichment Using Annotators
- Annotator Types
Enrichment Using Labeler
- Identify Enrichment
- Identify Document Classification
- Classify Using Training Data
- Classification Versus Clustering
- The Document Classification Process
Enrichment Using Ranker
- Identify Enrichment Using Ranker
- The Ranking Process
Migrate Annotators from Content Analytics Studio
- Migrate Content Analytics Studio Annotators
- Identify the UIMA Pipeline Configuration for oneWEX
- Update Annotators
Using Application Builder with oneWEX
- Application Builder and User Roles
- Explore Application Builder
- Set Up a oneWEX Data Source
- Functionality for oneWEX Data Sources
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details