Data Analytics
Data Analytics stands for qualitative and quantitative techniques and processes that are required for enhancing the productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data, patterns, and techniques vary according to the organizational requirements.
Course Description
- Introduction of Analytics and Data science
- Commonly used terms in Data Science
- Comparison between Data Science, Machine Learning, and Artificial Intelligence
- Relevance in industry and need of the hour
- Types of problems and Busines Objectives solved in Data Science
- How are leading companies using the power of Data Science to boost growth?
- Why use Python for Data Science?
- Critical Success drivers
- Overview of Analytics tools, their popularity, and usage
- The project plan for Analytic project
- Overview of Python
- Introduction to the installation of Python
- Concept of the package in Python
- Python Data Types/Structures
- Installing & Loading Packages in Python Environment
- List and Dictionary Comprehensions
- Basic Operation - Mathematical - String - Date
- Control Flow & Conditional Statements
- Reading & Writing Data
- Debugging & Code profiles
- Python Classes & Modules - Concept & Implementation
- Importing Data in Python through various sources (Excel, CSV, TXT, etc)
- Important Python Packages: Pandas, Beautifulsoup
- Viewing Data Objects – Subsetting, Methods
- Exporting Data to Various formats
- What is Segmentation & why it is used?
- Hierarchal Clustering & Spectral Clustering Concepts
- Mechanics and Concept of Segmentation
- K-Means Clustering
- Bayes Theorem & Applications
- Concept of Conditional Probability
- Naive Bayes in Machine Learning Modeling
- Concept & Applications
- Kernels of SVM
- Mechanics of SVM
- Implementation of SVM on Models
- Introduction to NLP & Text Mining
- Text Analysis – Sentiment Analysis using Python
- Touring Powerful NLP libraries in Python
- Examples & Actionable Insights using Social Media Analytics
- Data Preprocessing & Solving real Text Mining Problem
- Text Analysis – Word Cloud Analysis using Python
- Applications of Social Media Analytics
