AIML Full Stack Development

DATA SCIENCE – TABLEAU & POWER BI ( XER – 003 )

DATA SCIENCE - TABLEAU AND POWER BI :  Data Mining and Data Visualization  ( XER - 003 )

LEVEL - ENTRY  | FORMAT - INSTRUCTOR  LED TRAINING | Days : 5 Days

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Prerequisites

  • Data Analysts and Business Intelligence Professionals.
  • Data Scientist and Machine Learning Engineers.
  • Business Analysts.
  • IT and Database Professionals.
  • Students and Graduates.

Objectives

  • Develop Expertise in Data Visualization Tools.
  • Master Data Transformation and Preparation.
  • Advance Analytics with Python Integration.
  • Understand Data Driven Decision Making
  • Compare and Contrast Tableau and Power BI
  • Deploy Dashboard for Business use.

Datasheet

Tableau and Power BI - 003

Description

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Training Objectives

  • Learn to create visually compelling dashboards and reports using Tableau and Power BI.
  • Explore how to connect and transform various data sources in Tableau and Power BI.
  • Utilize advanced analytics in Tableau and Power BI for data-driven decision-making.
  • Learn how to leverage Python within Tableau for automating workflows, advanced analysis, and custom calculations.
  • Understand how to use Python (via TabPy) within Tableau for predictive analytics and machine learning integrations.
  • Compare Tableau and Power BI to understand when and how to use each tool effectively.

Target Audience

  • Data Analysts and Business Intelligence Professionals.
  • Data Scientist and Machine Learning Engineers.
  • Business Analysts,
  • IT and Database Professionals.
  • Students and Graduates.

Course Module

  1. Component Tracking - Dependency Management, Component Vulnerability Mapping, Version Tracking.
  2. Risk Acceptance Waivers.
  3. Engagement Scheduling - Planned, Automation and Recurring Engagement.
  4. Custom Field and Attributes.
  5. Advanced Reporting and Analytics.
  6. Finding Templates.
  7. Multi-Tenancy Support - Isolated Work Spaces, Role-Based Access for Tenants.
  8. Benchmarking and Historical Trends - Securing Trend Analysis.
  9. Multiple Product Types.
  10. Integrated Risk Scoring Models.
  11. Engagement Automation with CICD Pipelines - Seamless Integration with DevOps Tools.
  12. Securing as Code.
  13. Configuration as Code.
  14. Automated Scanning via API.

Scope 

  • Level - Advance
  • Duration : 5 Days
  • Format : Lecture and Hands-On Lab
  • Platform Support : On-Prime Data Center / Cloud Platform
  • Programming Language : Python Programming

Lab Requirements

  • Tableau and Power BI Subscription.
  • Windows OS.
  • Open Source Software.
  • Github Account.
  • AIML Applications and DefectDojo Integrations.

Contact Us

  • WhatsApp : +919164315460
  • Email : info@xerxez.in