Instructor-led Leveraging Big Data for Business Intelligence live Online Training Schedule

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20,000.00 Duration: 4 Hours
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About your Leveraging Big Data for Business Intelligence Training

Skills Covered

Big data analytics
Predictive modeling and machine learning
Data visualization and interpretation
Real-time data processing

Tools Covered

Hadoop and Spark for data processing
SQL and NoSQL databases for data management
Tableau and Power BI for data visualization
Python and R for data analysis

Leveraging Big Data for Business Intelligence Training Syllabus

Curriculum Designed by Experts

Introduction to Big Data
Topics
  • Defining big data and its business impact
  • Overview of big data technologies
Topics
  • Techniques for collecting and storing big data
  • Data architecture and databases (SQL and NoSQL)
Topics
  • Introduction to data processing tools (Hadoop, Spark)
  • Real-time data processing with streaming technologies
Topics
  • Basics of statistical analysis
  • Predictive modeling and machine learning algorithms
Topics
  • Tools and techniques for visualizing big data
  • Best practices for reporting and presenting data insights
Topics
  • Strategies for integrating BI into business processes
  • Case studies on successful BI projects

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Why Leveraging Big Data for Business Intelligence Training From Xpertised Learning

Live Interactive Classes

  • Top-Tier Trainers
  • Real Time Guidance by Industrial Experts
  • In Class Doubt Clearance

Resource Access

  • Life Time Access to Resource Library

Support

  • One-to-One Lab and Training Assistance
  • Help Desk Support
  • Doubt Clearance in Real-time

Project Based Learning

  • Labs and Learning Based from Industrial Experts
  • Learning Based on Project Scenarios

Certification

  • Xpertised Learning Training Certificate
  • Certificate of Completion

Labs

  • Cloud based Labs *Labs based on course requirement only

Leveraging Big Data for Business Intelligence Training Details

The course provides a comprehensive introduction to the world of big data and its applications in business intelligence. It covers various tools and techniques used to process and analyze large datasets, and how to translate these analyses into actionable business insights.

  • Develop expertise in big data analytics, enhancing your ability to transform large datasets into actionable business insights.
  • Boost your career prospects by mastering big data techniques, making you a valuable asset for roles in data analytics and business intelligence.
  • Stay competitive in the business world by acquiring advanced big data skills, ensuring your ability to drive data-driven decision-making.
  • Comprehensive understanding of big data ecosystems and their application in BI.
  • Ability to make data-driven decisions that enhance business performance.
  • Enhanced skills in handling, analyzing, and presenting large sets of data.
  • Big data analytics
  • Predictive modeling and machine learning
  • Data visualization and interpretation
  • Real-time data processing
  • Hadoop and Spark for data processing
  • SQL and NoSQL databases for data management
  • Tableau and Power BI for data visualization
  • Python and R for data analysis
  • Equip participants with the knowledge to handle and analyze big data.
  • Teach how to translate data insights into business intelligence.
  • Provide skills necessary to drive business strategies using data-driven evidence.
  • Business Analysts and Data Analysts
  • Marketing Professionals
  • Business Intelligence Professionals
  • IT Professionals interested in BI solutions
  • Managers and Executives looking to enhance their data-driven decision-making capabilities
  • Basic understanding of statistics and data analysis
  • Familiarity with programming (Python or R) is beneficial but not required
  • How to manage and analyze large datasets to generate actionable business insights.
  • Use of modern BI tools and techniques to impact business strategy positively.
  • Development of strategic thinking around data utilization in business contexts.
  • A computer capable of running data analysis software and accessing cloud-based services.
  • Internet connection sufficient to access large datasets and cloud platforms.
  • This training can lead to career opportunities in fields such as business intelligence analysis, data analysis, data science, and strategic management.

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