The AI – Business Intelligence Analyst
- Industry-Relevant Curriculum
- Hands-On Training
- Internship Opportunities
- Certification Preparation
- Placement Assistance
About Program
The AI – Business Intelligence Analyst program trains individuals to excel in the dynamic field of business intelligence. Students will master data inspection, transformation, and modeling across diverse sources, utilizing statistical analysis, data visualization, and machine learning. Equipped to understand business requirements, they will craft compelling data-driven narratives to support strategic decision-making and collaborate with Data Scientists in complex model development.
Key Benefits
- Data Architecture
- Data Management
- Data Quality
- Statistics
- Machine Learning
- Time Series
- Text Analytics
- Data Visualization
Why choose us?
Training Option
- In-Person Classroom based Training conducted by Subject Matter Expert
- Flexibility to attend classes at any of our 50+ Centers PAN India
- Hands-on experience at our state-of-the-art Lab
- Interview Preparation & Placement Support
- Industry Recognized Course Completion Certificate
Tools & Softwares
Salary Scale
Job Role
- Business Intelligence Analyst
- Data Analyst
- Data Scientist
- AI/ML Engineer
- BI Developer
- Business Analyst
- Data Engineer
- Analytics Consultant
Our Alumni Work at
Course Curriculum
- Relevance of AI & Big Data Analytics for Society
- Use-Cases of AI & Big Data in Industry
- General and Narrow AI
- Fields of AI
- Career Map in AI & Big Data Analytics
- Key Terms in AI
- Probability Distributions
- Correlation Analysis
- Descriptive Statistics
- Correlation Techniques
- Regression Analysis
- Hypothesis Testing
- Introduction to Statistical Tools
- Using Statistical Software Packages
- Functions and Libraries
- Collecting Business Requirements
- Types of Requirements
- Stakeholder Interaction
- Documentation and Analysis
- Data types and analysis
- Source identification and analysis
- Metadata understanding
- Data importation from various sources
- Data profiling and quality assessment
- Data differentiation (Unprocessed vs. Processed)
- Impact of unprocessed data
- Anomaly identification
- Data normalization
- Data cleansing
- Outlier handling
- Data normalization approaches
Pre-processed data validation
- Variables and data types identification
- Data exploration limitations
- Dimension reduction and correlation
- Prescriptive action categorization
- Correlation evaluation through graphics
- Target audience identification
- Delivery modes and formats
- Business impact evaluation
- Outcome summarization
- Visualization representation
Certification
Testimonials
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Frequently Asked Questions
An AI Business Intelligence Analyst uses artificial intelligence and machine learning techniques to analyze business data, generate insights, and support decision-making processes.
Essential skills include data analysis, machine learning, statistical modeling, proficiency in programming languages like Python or R, and familiarity with BI tools like Power BI or Tableau.
Yes, the course includes practical, hands-on projects to ensure students gain real-world experience.
Upon successful completion, you will receive certifications recognized by industry leaders like NASSCOM, NSDC, and Skill India.
Graduates can pursue roles such as BI Developer, Business Intelligence Analyst, Data Analyst, and AI/ML Engineer.
Data visualization involves presenting data in graphical or pictorial formats, making it easier to understand trends, patterns, and insights that aid in decision-making.
Rooman provides dedicated student success managers to mentor and assist students throughout the course.
Yes, Rooman Technologies offers free demo sessions to give prospective students a preview of the course content and teaching methodology
The instructors are industry experts with extensive experience working with leading technology companies such as CISCO, WIPRO, and Infosys
You can enroll by visiting the Rooman Technologies website, filling out the necessary details, and following the enrollment procedure. For guidance, you can also contact their support team.