Data Science using R & Python Training Syllabus:
- ➢ Life Cycle of Data Science
➢ Skills required for Data Science
➢ Careers Path in Data Science
➢ Applications of Data Science
➢ Relationship between Statistics and Data Science
➢ Introduction to Data
➢ Descriptive Statistics
➢ Inferential Statistics
➢ Random Sampling and Probability Distribution
➢ Python programming
➢Python for Exploratory Data Analysis
- • Introduction to RDBMS
• Retrieving
• Updating
• Inserting
• Deleting
• Sorting AND Filtering
• Summarizing AND Grouping
• Using Subqueries
• Joining Tables
• Views
• Stored Procedure
• Python Database ConnectionAPI
- ➢ Introduction To Machine Learning
• Text preprocessing using Bag of words technique
• TF(Term Frequency)
• IDF(Inverse Document Frequency)
• Normalization
• Vectorization
• NLP with Python
