Data Science
Course Details
Data Science training lets you gain expertise in master data analysis, deploying R statistical computing, Machine Learning algorithms, K-Means Clustering, Naïve Bayes, connecting R with Hadoop framework, time-series analysis, business analytics and more.
You will get hands-on experience in Data Science by working on various real-life projects in domains of e-commerce, entertainment, banking, finance, etc.
Targeted Audience :
- Use Python for Data Science and Machine Learning
- Developers,Freshers/Graduates,IT professionals
Courses Description
- Introduction to Data Science
- Descriptive Statistics and Probability Distributions
- Inferential Statistics and Testing of Hypothesis
- Different methods of estimation Testing of Hypothesis & Tests
- Covariance & Correlation
- Predictive Modeling Steps and Methodology with Live example
- Model Implementation
- Supervised Techniques
- Logistic Regression
- Variable Reduction Techniques
- Supervised Techniques Classification
- Unsupervised Techniques
- Time series Analysis
- Visualization Using Tableau
Python
- Introduction to Python
- Using Python
- Language Fundamentals
- Conditional Programming
- Exception Handling
- Handling Strings
- Arrays, Collections and Dictionaries
- Functions and Arguments
- I/O Handling
- Regular Expressions
- Python Packages
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