Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using Python & R. Data Science Training encompasses a conceptual understanding of Statistics, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Healthcare, Social Media, Aviation and HR.
Introduction to Data Science
• What is Data Science?
• Life cycle of Data Science
• Tools of Data Science
• Introduction to Python
• Introduction to R
• Introduction to Spark
• Introduction to Machine Learning
Python
• Python Overview
• Python Environment
• Getting Started
• String Handling
• Operators
• Flow Control
• List
• Tuples
• Sets
• Dictionary
• Functions
• Modules
• Packages
• Exceptional Handling
• File Handling
• Object Oriented Programming
• Classes
• Inheritance
• Types of Inheritance
• Polymorphism
• Iterator
• Generator
• Closure
• Property
• File and Path Manipulation
Statistical Inference
• What is Statistical Inference
• Terminologies of Statistics
• Probability & Expected Values
• Variability, Distribution
• Normal Distribution
• Binary Distribution
Data Analysis
• Introduction to Numpy
• Numpy Arrays
• Numpy Array Indexing
• Numpy Operations
• Introduction to Pandas
• Series
• DataFrames
• Missing Data
• Groupby
• Merging Joining & Concatening
• Operations
• Data Input & Output
Data Visualization
• Matplotib
• Seaborn
• Plotly & Cufflinks
Machine Learning
• What is Machine Learning ?
• Machine Learning Use cases
• Machine Learning Process flow
• Machine Learning Categories
• Supervised Machine Learning
• Un Supervised Machine Learning
• Reinforcement Learning
• Neutral Networks Overflow
• Linear Regression
• Logistics Regression
• K Nearest Neighbours
• Decision Tress and Forests
• K Means Clustering
• Natural Language processing
Tensor Flow
•Introduction to TensorFlow
• Installing Tensor Flow
• TensorFlow features
• Biological Neural Networks
• TensorFlow Usecases
Deep Learning
• Reinforced Learning
• Reinforcement Learning flow
• Deep Learning
• Biological Neural Networks
• Understand Artificial Neural Networks
• Building Artificial Neural Networks
Real Life Case Studies
Live project based on any of the selected use cases, involving the implementation of Machine Learning and Data Science.
Program Outcomes
Ability to Build and Deploy AI/ML and Deep Learning applications at you workplace.
Reinforce Learning by applying concepts in industry relevant assignments & projects.
Learn from Industry Professionals.