Data Science Certification Training in Hyderabad
Data Science Certification Training
Data Science Certification Training – R Programming
Lesson 01 – Introduction to Business Analytics
- Business Decisions and Analytics
- Types of Business Analytics
- Applications of Business Analytics
- Data Science Overview
- Conclusion
Lesson 02 – Introduction to R Programming
- 002 Importance of R
- Data Types and Variables in R
- Operators in R
- Conditional Statements in R
- Loops in R
- R script
- Functions in R
- Conclusion
Lesson 03 – Data Structures
- Overview
- Identifying Data Structures
- Demo Identifying Data Structures
- Assigning Values to Data Structures
- Data Manipulation
- Demo Assigning values and applying functions
- Conclusion
Lesson 04 – Data Visualization
- Overview
- Introduction to Data Visualization
- Data Visualization using Graphics in R
- ggplot2
- File Formats of Graphic Outputs
- Conclusion
Lesson 05 – Statistics for Data Science-I
- Overview
- Introduction to Hypothesis
- Types of Hypothesis
- Data Sampling
- Confidence and Significance Levels
- Conclusion
Lesson 06 – Statistics for Data Science-II
- Overview
- Hypothesis Test
- Parametric Test
- Non-Parametric Test
- Hypothesis Tests about Population Means
- Hypothesis Tests about Population Variance
- Hypothesis Tests about Population Proportions
- Conclusion
Lesson 07 – Regression Analysis
- Overview
- Introduction to Regression Analysis
- Types of Regression Analysis Models
- Linear Regression
- Demo Simple Linear Regression
- Non-Linear Regression
- Demo Regression Analysis with Multiple Variables
- Cross Validation
- Non-Linear to Linear Models
- Principal Component Analysis
- Factor Analysis
- Conclusion
Lesson 08 – Classification
- Overview
- Classification and Its Types
- Logistic Regression
- Support Vector Machines
- Demo Support Vector Machines
- K-Nearest Neighbours
- Naive Bayes Classifier
- Demo Naive Bayes Classifier
- Decision Tree Classification
- Demo Decision Tree Classification
- Random Forest Classification
- Evaluating Classifier Models
- Demo K-Fold Cross Validation
- Conclusion
Lesson 09 – Clustering
- Overview
- Introduction to Clustering
- Clustering Methods
- Demo K-means Clustering
- Demo Hierarchical Clustering
- Conclusion
Lesson 10 – Association
- Overview
- Association Rule
- Apriori Algorithm
- Demo Apriori Algorithm
- Conclusion
