Best Data science course now in jalandhar
- 1. DATA SCIENCE COURSE VISIT NOW:HTTPS://TECHCADD.COM/ CONTACT NO:9888122255 DATA SCIENCE COURSE VISIT NOW:HTTPS://TECHCADD.COM/ CONTACT NO:9888122255
- 2. INTRODUCTION INTRODUCTION Data Science is a multidisciplinary field that combines statistics, computer science, and domain knowledge to extract meaningful insights from structured and unstructured data. This course provides a foundational understanding of data science principles, tools, and techniques.
- 3. WHAT IS DATA SCIENCE? DEFINITION OF DATA SCIENCE IMPORTANCE IN TODAY'S WORLD FIELDS/DATA SCIENCE TOUCHES (FINANCE, HEALTHCARE, MARKETING, ETC.)
- 4. DATA SCIENCE LIFECYCLE: A DATA COLLECTION DATA CLEANING DATA EXPLORATION MODELING EVALUATION DEPLOYMENT
- 5. DATA COLLECTION AND CLEANING: DATA SOURCES (APIS, DATABASES, FILES) HANDLING MISSING DATA DATA TYPES AND CONVERSIONS IMPORTANCE OF CLEAN DATA
- 6. CORE COMPONENTS OF DATA SCIENCE: STATISTICS PROGRAMMING (PYTHON/R) MACHINE LEARNING DATA VISUALIZATION DOMAIN KNOWLEDGE
- 7. TOOLS AND TECHNOLOGIES: TOOLS AND TECHNOLOGIES: Programming Languages: Python, R Libraries: Pandas, NumPy, Scikit-learn, TensorFlow Tools: Jupyter, Tableau, Power BI Databases: SQL, MongoDB
- 8. INTRODUCTION TO MACHINE LEARNING: WHAT IS ML? TYPES: SUPERVISED, UNSUPERVISED REINFORCEMENT LEARNING EXAMPLES: SPAM DETECTION, RECOMMENDATION SYSTEMS
- 9. DATA VISUALISATION: IMPORTANCE OF DATA STORYTELLING POPULAR TOOLS: MATPLOTLIB, SEABORN, PLOTLY DASHBOARDS & REPORTS
- 10. REAL WORLD APPLICATIONS REAL WORLD APPLICATIONS Predictive analytics in healthcare Fraud detection in banking Recommendation systems in e-commerce AI in customer service
- 11. CAREER PATHWAYS IN DATA SCIENCE: DATA ANALYST DATA SCIENTIST MACHINE LEARNING ENGINEER DATA ENGINEER BUSINESS INTELLIGENCE ANALYST
- 12. CONCLUSION: CONCLUSION: Summary of key points Recommended learning resources Q&A or Feedback Contact info or course registration link (if applicable)