Sessions

- DATA ANALYSIS FOUNDATION
- DATA ANALYSIS FOUNDATION
- CLASSIFICATION OF ANALYTICS
- CRIP-DM ModelS
- UNIVARIATE DATA ANALYSIS
- DATA ANALYSIS WITH VISUAL CHARTS
- BI-VARIATE
- : PYTHON FOUNDATION
- PYTHON BASICS
- PYTHON CONTROL STATEMENTS
- PYTHON DATA STRUCTURES
- PYTHON FUNCTIONS
- PYTHON NUMPY
- VERSION CONTROL WITH GIT
- DATA SCIENCE ESSENTIALS
- DATA ENGINEERING FOUNDATION
- PYTHON FOR DATA ANALYSIS
- VISUALIZATION WITH PYTHON
- STATISTICS
- MACHINE LEARNING INTRODUCTION
- BUSSINESS INTELLIGENCE
- Power Bi
- Tableau
- Excel
- Quikview
- DATA ANALYSIS ASSOCIATE
- COMPARISION AND CORRELATION ANALYSIS
- VARIANCE AND FREQUENCY ANALYSIS
- RANKING ANALYSIS
- BREAK EVEN ANALYSIS
- Time Series and Trend Analysis
- DATA ANALYSIS BUSINESS REPORTING
- ADVANCED DATA ANALYTICS
- DATA ANALYTICS FOUNDATION
- OPTIMIZATION MODELS
- PREDICTIVE ANALYTICS WITH REGRESSION
- DECISION MODELING
- PREDICTIVE ANALYTICS WITH ML
- MACHINE LEARNING INTRODUCTION
- ML ALGO: LINEAR REGRESSSION
- ML ALGO: LOGISTIC REGRESSION
- ML ALGO: KNN
- ML ALGO: K MEANS CLUSTERING
- ML ALGO: DECISION TREE
- ML ALGO: SUPPORT VECTOR MACHINE (SVM)
- ARTIFICIAL NEURAL NETWORK (ANN)
- PROJECT: PREDICTIVE ANALYTICS WITH ML
- DATABASE : SQL AND NoSQL
- DATABASE INTRODUCTION
- SQL BASICS
- DATA TYPES AND CONSTRAINTS
- DATABASES AND TABLES (MySQL)
- SQL JOINS
- SQL COMMANDS AND CLAUSES
- DOCUMENT DB/NO-SQL DB