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Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
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English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Courses and Certificate Fees
The Syllabus
- Introduction to Analytics
- Statistics in Business
- Data Measurement
- Measure of dispersion for Group and ungrouped data
- Introduction to R
- Basic data structures
- Data Pre-processing
- Univariate data analysis
- Probability Distributions
- Sampling Theory
- Hypothesis Testing
- Assumption of ANOVA
- Interpreting the ANOVA Results
- Python Basics
- Data Structures in Python
- Control & Loop Statements in Python
- Exploration data analysis with Python
- Introduction to decision Science
- Basic Excel Skills
- Basic Data Visualization Skill
- Data Presentation
- Spreadsheet engineering
- Introduction to SQL
- DDL & DML Statement
- Joins
- Sub Queries
- Introduction to Visualization
- Working with Visualization tools like PowerBI
- Advanced Visualization
- Enterprise Dashboards Data Presentation
- Dashboards & Stories
- Introduction to Data Mining
- Data Mining Techniques
- Knowledge Representation Methods
- Data preprocessing
- Representing input data and output knowledge
- Introduction to machine learning
- Linear Regression
- Performance Measures, Bias-Variance Trade-Off,
- Overfitting & Underfitting Optimization Techniques
- Clustering and Classification
- Introduction to Time Series Modelling
- Simple smoothing methods
- Decomposition method
- ARMA Models
- Identification of ARMA models
- ARIMA Models
- What is Big Data
- Big Data Analytics
- Big Data Challenges
- What is Hadoop?
- Hadoop ecosystem
- Product & User Analytics
- What Is Different About Design thinking?
- Design Thinking Skills
- Principles of Design Thinking
- Define the Problem
- Ideate
- Listening and Empathizing Techniques
- Cyber Security and Cyber warfare
- Cyber doctrine, Cyber warriors.
- Computer network exploitation,
- Defense against Cyber Terrorism
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