Seeq Training

Categories Analytics Course
Course level:Intermediate

Seeq is an advanced analytics tool designed for process manufacturing industries, allowing users to analyze, visualize, and share data from various industrial systems in real-time. It is typically used to improve decision-making by providing deep insights into production and operational data.

Seeq Training
Seeq Training – Learn Online

Why should you choose Nisa For Seeq Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Seeq Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

  • We receive your inquiry for Online Job
  • We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
  • If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
  • We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Seeq Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.

COURSE CONTENT :

  • Introduction to Seeq:
    • Overview of Seeq and its applications in industrial analytics
    • Connecting to data sources (e.g., historians, databases)
    • Understanding Seeq’s interface and key functionalities
  • Data Preparation and Cleaning:
    • Importing and organizing data
    • Handling missing or outlier data
    • Creating custom calculations and formulae for data transformation
  • Time-Series Data Analysis:
    • Working with time-series data
    • Visualizing trends and patterns
    • Filtering and aggregating data for deeper analysis
  • Advanced Analysis Techniques:
    • Correlation and comparison of datasets
    • Advanced statistical analysis (e.g., regression, predictive modeling)
    • Using Seeq’s trend analysis tools (e.g., Signal, Formula, and Event-based analysis)
  • Creating Visualizations and Dashboards:
    • Building interactive visualizations with Seeq’s tools
    • Customizing charts and graphs for real-time monitoring
    • Creating dashboards for data presentation and decision support
  • Collaboration and Reporting:
    • Sharing findings and collaborating with team members
    • Setting up automated reports and notifications
    • Exporting data and results for external use
  • Advanced Features:
    • Using Seeq’s machine learning capabilities for predictive analytics
    • Integration with other software tools (e.g., Excel, Power BI)
    • Advanced optimization techniques
  • Seeq for Process Improvement:
    • Applying Seeq’s capabilities for operational efficiency and process optimization
    • Case studies and industry-specific examples
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