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Advance your career with best Data Science course in jalandhar, offering practical skills and insights for success in the data-driven industry!
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WHAT IS DATA SCIENCE? Interdisciplinary field combining: Statistics Computer science Domain expertise Objective: Extract insights and knowledge from data Core of modern decision-making in business and technology
THYNK UNLIMITED HISTORY & EVOLUTION From data analysis to AI-driven insights Timeline of data science evolution Key milestones (e.g., rise of big data, deep learning, AI)
THYNK UNLIMITED Why is Data Science Important Extracts insights from big data Supports evidence-based decisions Drives innovation and efficiency Example: Amazon recommendations, fraud detection
APPLICATIONS OF DATA SCIENCE Healthcare: Disease prediction Marketing: Customer segmentation Finance: Credit scoring, fraud detection Sports: Player performance analytics Logistics: Route optimization
LEARNING PATH FOR BEGINNERS Start with Python and Statistics Learn libraries like Pandas, Scikit-learn Explore small datasets on Kaggle Take online courses (Coursera, Udemy) Build portfolio projects
COMMON ALGORITHMS IN DATA SCIENCE Linear Regression Decision Trees K-Means Clustering Random Forest Neural Networks
Machine Learning in Data Science A subset of Artificial Intelligence (AI) Enables systems to learn from data without being explicitly programmed Used to predict outcomes, classify information, and find patterns
HOW TO START LEARNING DATA SCIENCE Free resources: Kaggle, Coursera, YouTube Certifications: IBM, Google, edX, Udemy Build projects, enter competitions Join data science communities
CAREER OPPORTUNITIES Data Scientist Data Analyst Machine Learning Engineer Business Intelligence Analyst Salary range overview (optional chart)
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