Section 1: Python Basics

• Introduction
•  Installation and Get Started
•  Control Structure
•  Functions
•  Sequence Types
•  Exception Handling
•  File Handling
•  OOPS Programming
•  Context Manager
•  Unit Testing
• IMAGE

Section 2: Data Analysis

• Introduction
• Data Analysis Types & Methods
• Data Mining & Analytics
• IDE for Data Analysis
• Data Analysis Libraries
• Data Visualization Libraries
• File Import & Export
• Web Scraping
• Time Series Analysis
• Open CV
• Best Practices

Section 3: Statistical Analysis

• Introduction
• Descriptive Statistics
• Inferential Statistics
• Probability Distributions
• Statistical Tests
• SciPy for statistical tests
• Stats models for regression and hypothesis testing

Section 4: Natural Language Processing (NLP)

• Text Mining, Text preprocessing & Tasks
• Feature extraction
• Text classification
• Sequence processing
• Misc Library - spaCy, StanfordNLP, NLTK

Section 5: Working on Open CV

• Intro openCV
• Read, display & save images
• Changing color spaces
• Accessing image properties
• Resize image and display text
• Drawing Shapes
• Multimode display of images
• Operation on Images
• Color, Contour & shape detection
• Image thresholding

Section 6: Course Image

Section 7: Course Description

Section 8: Course Takeaway

Section 9: Course Pre-requisite

Section 10: Course Content

Section 11: What you learn in this course ?