The document outlines a comprehensive training program in data science using Python, highlighting its importance across various industries such as healthcare and finance. It details the data science workflow, which includes data collection, cleaning, exploratory data analysis, and machine learning applications with Python libraries like NumPy, Pandas, and Scikit-learn. Practical applications of data science are also discussed, including predictive analytics and natural language processing.

1. Data Science with
Python
A Comprehensive Training Program

2. Introduction to Data Science
Data Science
Defined
The art of extracting knowledge from data
Impact Across
Industries
Healthcare, finance, retail, and more

3. Why Python for Data
Science?
Simple to Learn
Beginner-friendly syntax
Powerful Libraries
NumPy, Pandas, Matplotlib,
Scikit-learn
Active Community
Support and resources
available

4. Data Science
Workflow
1
Data Collection
Gathering raw data
2
Data Cleaning &
Preprocessing
Preparing data for
analysis
3
EDA & Model
Building
Understanding
patterns and building
models
4
Evaluation &
Deployment
Testing and
implementing
solutions

5. Python Libraries for Data
Science
NumPy
Numerical computing
Pandas
Data manipulation
Matplotlib &
Seaborn
Data visualization
Scikit-learn
Machine learning

6. Data Preprocessing with
Python
Missing Values
Handling missing data points
Data
Transformation
Scaling, normalization, and
encoding
Feature Scaling
Standardizing feature values

7. Exploratory Data Analysis
(EDA) Summary Statistics
Mean, median, standard deviation
Data Visualization
Bar charts, histograms, scatter plots
Pattern Recognition
Identifying trends and insights

8. Machine Learning with
Python
1
Supervised
Learning
Regression &
classification
2
Model Training
Fitting models to
data
3
Model Evaluation
Measuring
performance
4
Hyperparameter
Tuning
Optimizing model
parameters

9. Real-World
Applications
1
Predictive Analytics
Stock market forecasting, sales
prediction
2
Natural Language
Processing
Chatbots, sentiment analysis
3
Computer Vision
Image recognition, medical
diagnosis