The AI – Business Intelligence Analyst
The AI – Business Intelligence Analyst - A fast track to the success.
100% Placement Assistance | 1000+ Hiring Partners
Rated 4.5 out of 5
13997 Learners Enrolled
Program Duration : 480 Hrs
At 15 - 20 hrs/week
Classroom Based
Learning format
Branches Across India
Select your Preferred Branch
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.
Audience
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B.E./ B.Tech. – Computer Science, IT, Electronics or equivalent
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BCA, BSc Computer Science, MCA and MSc Computer Science
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Working Professional in IT looking for upskilling
Key Benefits
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Data Architecture
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Data Management
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Data Quality
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Statistics
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Machine Learning
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Time Series
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Text Analytics
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Data Visualization
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
Tools & Softwares
Need Guidance?
Talk to our experts on
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Branches Across India
- Bangalore
- Electronic City
- Nelamangala
- Ramnagar
- Belagum
- Kolar
- Chikballapur
- Udupi
- Haveri
- Nellore
- Chennai
- Kolhapur
- Gaya
- Nalanda
- Nawada
- Aurangabad
- Sangli
- Osmanabad
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