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Home
About Us
Courses & Solutions
PROJECT
Project Management Certifications
Project Manager Skills
Agile & Scrum
Project Management Software
Industry Specific Courses
Masters Degree
PROCESS
Lean Six Sigma Certifications
Business Analysis & Data Science
Supply Chain & Procurement
ISO Management System & Audit
Business Process Management
Facility & Maintenance Management
PEOPLE
Human Resource Management
Strategy,Management & Leadership
Interpersonal & Administrative Skills
Finance & Accounting Courses
Health Safety & Environment
ADVANCED TECHNOLOGY
IT Governance & Service Management
Cyber Security & Resilience Data Science & Business Intelligence
AI & Machine Learning Software Development & Testing
Blog
Resources
eLearning Portal
Exam Prep Portal
Downloadables
Training Policy
PMP® ROI Calculator
Contact Us
CERTIFIED DATA SCIENTIST R LANGUAGE
6 Sections
42 Lessons
3 Days
Expand all sections
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INTRODUCTION TO DATA SCIENCE
8
1.1
What is Data Science?
1.2
What does Data Science involve?
1.3
Era of Data Science
1.4
Business Intelligence vs Data Science
1.5
Life cycle of Data Science
1.6
Tools of Data Science
1.7
Introduction to Big Data and Hadoop
1.8
Introduction to R
STATISTICAL INFERENCE
7
2.1
What is Statistical Inference?
2.2
Terminologies of Statistics
2.3
Measures of Centers
2.4
Measures of Spread
2.5
Probability
2.6
Normal Distribution
2.7
Binary Distribution
DATA EXTRACTION, WRANGLING AND EXPLORATION
7
3.1
Data Analysis Pipeline
3.2
What is Data Extraction
3.3
Types of Data
3.4
Raw and Processed Data
3.5
Data Wrangling
3.6
Exploratory Data Analysis
3.7
Visualization of Data
INTRODUCTION TO MACHINE LEARNING
7
4.1
What is Machine Learning?
4.2
Horizontal PrototypingCopy
4.3
Machine Learning Process Flow
4.4
Machine Learning Categories
4.5
Supervised Learning
4.6
Linear Regression
4.7
Logistic Regression
CLASSIFICATION
8
5.1
What is Classification and its use cases?
5.2
What is Decision Tree?
5.3
Algorithm for Decision Tree Induction
5.4
Creating a Perfect Decision Tree
5.5
Confusion Matrix
5.6
What is Random Forest?
5.7
What is Navies Bayes?
5.8
Support Vector Machine: Classification
UNSUPERVISED LEARNING
5
6.1
What is Clustering & its Use Cases?
6.2
What is K-means Clustering?
6.3
What is C-means Clustering?
6.4
What is Canopy Clustering?
6.5
What is Hierarchical Clustering?
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