data scinece

1. Introduction to Data Science
High-Format Presentation

2. What is Data Science?
• Data Science is a multidisciplinary field that
uses scientific methods, algorithms, and
systems to extract knowledge and insights
from structured and unstructured data.

3. Evolution of Data Science
• - Early Data Analysis: Manual computation and
statistics
• - Business Intelligence: Automated data
processing
• - Modern Data Science: Machine learning and
big data technologies

4. Components of Data Science
• - Data Collection and Engineering
• - Exploratory Data Analysis
• - Machine Learning & Statistical Modeling
• - Data Visualization and Communication

5. Skills Required for Data Scientists
• - Programming (Python, R)
• - Data Wrangling and Cleaning
• - Statistical Analysis and Modeling
• - Communication and Visualization Skills
• - Domain Knowledge

6. Popular Tools in Data Science
• - Python & R
• - Jupyter Notebook
• - TensorFlow & Scikit-learn
• - Apache Spark
• - Tableau & Power BI

7. Industries Using Data Science
• - E-commerce and Retail
• - Healthcare and Pharmaceuticals
• - Banking and Finance
• - Manufacturing and Logistics
• - Government and Public Sector