Course Content: Business Analytics and Intelligence Training in Jalandhar
Module 1: Introduction to Business Analytics and Intelligence
- Definition and Scope
- Importance in Decision Making
- Overview of Analytical Tools and Techniques
Module 2: Fundamentals of Statistics
- Descriptive and Inferential Statistics
- Probability Distributions
- Statistical Inference
Module 3: Data Exploration and Preprocessing
- Data Cleaning and Transformation
- Exploratory Data Analysis (EDA)
- Handling Missing Data
Module 4: Data Visualization
- Principles of Effective Data Visualization
- Tools like Tableau and Power BI
- Dashboards and Interactive Reports
Module 5: Business Intelligence Concepts
- Introduction to BI
- Data Warehousing
- Extract, Transform, Load (ETL) Processes
Module 6: Advanced Analytics Techniques
- Predictive Analytics
- Prescriptive Analytics
- Time Series Analysis
Module 7: Machine Learning for Business
- Basics of Machine Learning
- Regression and Classification Models
- Model Evaluation and Interpretation
Module 8: Big Data and Business Analytics
- Introduction to Big Data
- Hadoop and Spark for Analytics
- Real-time Analytics
Module 9: Decision Support Systems
- Overview of Decision Support Systems (DSS)
- Business Analytics in Decision Making
- Case Studies on Successful Implementations
Module 10: Data Ethics and Privacy
- Ethical Considerations in Business Analytics
- GDPR and Data Privacy Regulations
- Best Practices for Ethical Analytics
Module 11: Industry Applications
- Business Analytics in Finance
- Marketing Analytics
- Supply Chain Analytics
Module 12: Capstone Project
- Real-world Business Analytics Project
- Applying Analytical Techniques to Solve Business Problems
Module 13: Tools and Software
- Introduction to Analytics Software (e.g., R, Python, SAS)
- Practical Exercises with Analytical Tools
Module 14: Career Development in Business Analytics
- Job Roles in Analytics
- Building a Career Path
- Networking and Professional Development
Module 15: Emerging Trends in Business Analytics
- Artificial Intelligence in Analytics
- Blockchain and Analytics
- Future Outlook and Industry Trends
Business Analytics and Intelligence Training Certification
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Business Analytics and Intelligence Course Fee and Duration in Jalandhar
| Track | Regular Track | Weekend Track | Fast Track |
|---|---|---|---|
| Course Duration | 45 – 60 Days | 8 Weekends | 5 Days |
| Hours | 2 hours a day | 3 hours a day | 6+ hours a day |
| Training Mode | Live Classroom | Live Classroom | Live Classroom |
- Business Analyst
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- BI Developer
- Data Engineer
- Financial Analyst
- Market Research Analyst
- Operations Analyst
- Supply Chain Analyst
- Risk Analyst
- Consultant
- Healthcare Analyst
- Retail Analyst
- Project Manager (with Analytics Focus)
- Amazon
- Microsoft
- IBM
- Tableau (Salesforce)
- Netflix
- LinkedIn (Microsoft)
- McKinsey & Company
- Deloitte
- Accenture
- Capgemini
- Walmart
- American Express
- Procter & Gamble (P&G)
The qualification for a Business Analytics and Intelligence course typically includes a bachelor’s degree in a relevant field such as business, statistics, or computer science. Proficiency in data analysis tools, statistical knowledge, and strong analytical skills are essential. Some courses may also cater to professionals seeking to enhance their analytics skills.
