Data Analytics and Business Intelligence

Course Description

This course is designed to equip learners with the foundational knowledge and advanced skills needed in the field of Data Analytics and Business Intelligence (BI). Starting with basic concepts, the course progresses to more complex analytics strategies and BI tools, preparing students to analyze large datasets, derive actionable insights, and support decision-making processes in various business contexts. With a blend of theoretical knowledge and practical applications, students will learn to use leading analytics software, understand data visualization, and develop BI solutions.

Course Outline

Week 1-2: Introduction to Data Analytics and Business Intelligence

  • Fundamentals of Data Analysis
  • Introduction to Business Intelligence
  • Data Types and Sources

Week 3-4: Data Management

  • Database Management Systems
  • Data Warehousing and ETL Processes
  • Data Quality and Governance

Week 5-6: Statistical Analysis and Predictive Modeling

  • Descriptive Statistics
  • Inferential Statistics
  • Introduction to Predictive Modeling

Week 7-8: Data Visualization

  • Principles of Data Visualization
  • Introduction to Tools like Tableau and Power BI
  • Creating Dashboards and Reports

Week 9-10: Advanced Analytics Techniques

  • Machine Learning Algorithms in Data Analytics
  • Text Analytics and Natural Language Processing
  • Time Series Analysis and Forecasting

Week 11-12: BI Tools and Technologies

  • Advanced Features in BI tools (Tableau, Power BI)
  • Custom Visualizations and Data Stories
  • Integration of BI tools with Other Systems

Week 13-14: Real-World Applications and Case Studies

  • Industry-specific Analytics (Finance, Retail, Healthcare)
  • Ethical Considerations in Data Analytics
  • Future Trends in Data Analytics and BI

Week 15: Capstone Project

  • Real-life Business Problem
  • Application of Analytics and BI Tools
  • Presentation and Peer Review

Course Scope

This course aims to prepare students for roles such as

  • Data Analyst,
  • BI Developer,
  • Analytics Consultant,

and similar positions across various industries.

Course Benefits

  • Comprehensive understanding of data analytics and BI concepts.
  • Hands-on experience with leading analytics and BI software.
  • Enhanced decision-making skills through data-driven insights.
  • Portfolio of projects demonstrating real-world application of skills.

Learning Software

  • Microsoft Excel for foundational data analysis
  • SQL for data management
  • Python or R for advanced analytics
  • Tableau or Power BI for data visualization and BI

Course Duration

  • 20 weeks (5 months)

Course Fee

  • 2,999/- month. One-Time Full Fee Rs. 14,499/-

Why Choose Us

  • Expert instructors with industry experience
  • State-of-the-art learning platform
  • Access to the latest software and tools
  • Strong emphasis on practical, real-world applications

Enrollment Eligibility

  • A desire to learn and adapt to evolving data analytics & business intelligence.
  • Bachelor’s degree in any field (preferably in business, IT, or related areas).
  • Basic understanding of statistics and mathematics.
  • Prior experience with any programming language (desirable but not mandatory).

Free Available Resources

  • Kaggle
  • Google Analytics Academy
  • Microsoft Learn
  • Tableau Public
  • Coursera and edX
  • Codecademy

Free Available Material

  • gov
  • Google Dataset Search
  • GitHub
  • Public APIs
  • Stack Overflow

Course-Related Books (available for free online in various formats)

  • Python Data Science Handbook by Jake VanderPlas
  • R for Data Science by Hadley Wickham and Garrett Grolemund
  • Data Science for Business by Foster Provost and Tom Fawcett
  • The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
  • Fundamentals of Data Visualization by Claus O. Wilke
  • Learning SQL by Alan Beaulieu.

FAQs

Q: Do I need a background in programming?

A: Basic programming knowledge is beneficial but not mandatory. The course will cover the necessary programming skills.

Q: Are there any free resources available?

A: Yes, the course includes free resources such as eBooks and online tutorials

Q: Will I receive a certificate upon completion?

A: Yes, you will receive a certificate that acknowledges your skills and knowledge in Data Analytics and BI.