Data Intelligence at wide glance

1. Data Intelligence: Shaping the
Future of Technology & Business
Exploring the World of Data Science
Your Name | Institution

2. A Powerful Start
• “Every second, the world creates 1.7 MB of data for every person on Earth.”
• The sheer volume of data is transforming industries and daily life.
• We are surrounded by invisible data-driven decisions every moment.

3. A Day in the Life with Data
• Morning: Google Maps suggests fastest route to class.
• Midday: Spotify recommends a song based on your taste.
• Afternoon: Bank detects suspicious activity and alerts you.
• Evening: Netflix suggests a new series.
• Night: AI assistant answers a complex question.

4. What is Data Science?
• The art & science of extracting meaning from raw data.
• Combines mathematics, statistics, and computer science.
• Transforms data into actionable insights.

5. Core Components of Data Science
• Data Collection: Gathering raw information from various sources.
• Data Cleaning & Preparation: Removing errors and formatting data.
• Data Analysis & Interpretation: Finding patterns and trends.
• Predictive Modeling & Machine Learning: Forecasting future outcomes.
• Data Visualization & Storytelling: Presenting findings clearly.

6. Real-World Example: Netflix
• Uses viewer data to recommend shows.
• Analyzes genre popularity and viewer retention.
• Decides which original content to produce.

7. Popular Career Roles in Data
Science
• Data Scientist: Builds predictive models & business strategies.
• Data Analyst: Identifies trends & supports decisions.
• Machine Learning Engineer: Designs automation algorithms.
• Business Intelligence Developer: Creates dashboards.
• Data Engineer: Builds infrastructure for data pipelines.

8. Industry Demand for Data
Professionals
• Finance: Fraud detection.
• Healthcare: Early diagnosis & treatment suggestions.
• E-commerce: Personalized shopping.
• Social Media: Customized feeds.
• Cybersecurity: Threat detection.
• Gaming: Player behavior analysis.

9. Future Outlook
• Data science is among the top 5 fastest-growing jobs globally.
• Expected job growth: Over 30% in the next decade.
• High demand across all industries.

10. Foundational Skills
• Mathematics & Statistics
• Programming (Python, R, SQL)
• Data Visualization (Tableau, Power BI)
• Cloud Platforms (AWS, Azure, GCP)

11. Soft Skills for Data Professionals
• Critical Thinking
• Storytelling with Data
• Problem-Solving Mindset

12. Learning Pathway for BCA Students
• Year 1: Excel, Python basics, SQL
• Year 2: Data visualization, intermediate Python, ML basics
• Year 3: AI projects, cloud deployment, specialization

13. Data Science in Action – Use Cases
• Healthcare: Predicting disease outbreaks.
• E-commerce: Personalized shopping experience.
• Sports: Performance analytics & strategies.
• Environment: Climate change prediction.
• Entertainment: AI-driven recommendations.

14. Q&A
• Your Turn – Ask Away!

15. Closing Inspiration
• “In the digital era, data is the new electricity — and you are the engineers who will harness its power.”