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Course Name: Python & Data Analysis

Completion Progress: 0%

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: Python 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

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

  • Introduction to openCV
  • Basic Image Operations
  • Image Filtering & Enhancement
  • Image Segmentation
  • Feature Detection & Description
  • Image Classification & Object Recognition
  • Video Processing with OpenCV

Section 6: MYSQL RDBMS Database

  • Introduction to SQL
  • SQL Data Types
  • DML,DQL,DCL,TCL Statements
  • Functions
  • Views & Nested Queries
  • Indexing and Clusters
  • Best Practices

Section 7: Business Intelligence & Reporting

  • Introduction
  • Get Started
  • Data Preparation, Sources & Data Files
  • Connecting to Data
  • Views & Analysis
  • calculations & Formatting
  • Graphs, Charts& Views
  • Dashboard Design and Sharing
  • Best practices

Section 8: Time series Analysis

  • Introduction
  • Types of Time Series
  • components of Time Series
  • Time Series Analysis Types
  • Data classification & Variations
  • Time Series Data Preprocessing
  • Time Series Forecasting
  • Models and Techniques
  • Performance Metrics
  • Advanced Time Series Analysis
  • Best Practices

Section 9: NOSQL MongoDB

  • Introduction
  • Architecture
  • Get Started
  • Databases
  • Collections & Documents
  • Crud Operations
  • Data Types
  • Query operators & building queries
  • Grouping & Aggregation
  • Regular Expressions & Indexing
  • Full text Search
  • Batch & Bulk Operations
  • Best Practices