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Business Analytics

  • Business Analytics Basics
  • Definition of analytics
  • Evolution of analytics
  • Need of Analytics
  • Business analytics vs business analysis
  • BA Opportunities / Careers

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Free Workshop on Python

  • Why Python?
  • What is Python?
  • Python Benefits
  • Python HandsOn
  • Python Applications
  • Career in Python
  • Career Guidelines

 

Training Time:

Afternoon: 3:00 pm to 4:30 pm
Break: 4:30 pm to 4:40 pm
Afternoon: 4:40 pm to 6:00 pm

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Python for Software Developers

  • What is Python?
  • Why Python?
  • Benefits of Python.
  • Applications of Python.
  • Installation of Python and Anaconda
  • Hands On Session On Python.
  • Object Oriented Programming
  • Career in Python
  • Questions and Answers

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Python for Software Developers: Part 2

Python for Software Developers[ Bank Application | Object Oriented Programming ] 

  • Object Oriented Programming
  • Object Variable Vs Class Variable 
  • Inheritance
  • Polymorphism
  • Private Data and Methods.
  • Menu Driven Programme 
  • Bank Application Demo

 


Training Time:

7.00 pm to 9.00 pm (IST)

9.30 am to 11.30 am (EST)

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Python for Software Developers: Part 3

Python for Software Developers[ Regular Expression Case Study ] 

  • File Handling
  • Exception Handling
  • User Define Exception  
  • Regular Expression 
  • Fileinput module
  • Glob
  • Regular Expression Case Study

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Python for Software Developers: Part 4

Python for Software Developer [ Built in Functions ] 

  • Built in Functions
  • Lambda, map, filter
  • Set, sorted, reversed
  • Zip
  • List  & Dictionary Comprehension

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Python for Software Developers: Part 5

Python for Software Developers [ Multithreading  | Threading ]

  • Threading Introduction
  • Threading Life Cycle 
  • Thread Modules
  • Thread Logging & Debug 
  • Thread Lock

 

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Python for Automation Testing

Python for Automation Testing [ Unitesting  | Test Cases | Test Suit  ] 

  • What is Testing?
  • Manual Vs Automation
  • Unitesting
  • Test Cases 
  • Test Suit

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Python for Automation Testing: Part 2

Python for Automation Testing Part 2 [ Selenium]

  • What is Selenium?
  • Installation
  • WebDriver
  • Selenium Python API
  • Filling in Forms ( Demo )

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Python for Automation Testing: Part 3

Python for Automation Testing Part 3 [ Selenium]

  • Locating Elements 
  • XPath Introduction
  • Link Text
  • Tag Name 
  • Using XPath Demo

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Python and Advance Python

Day 1

1. Introduction to Python
2. What is Python?
3. Why Python?
4. Python History
5. Python Installation
6. Python Data Types
7. Python Data Structure
8. Control Flow
9. Functions
10 . Summary and Conclusion


Day 2

1. Advance Python 
2. Object-Oriented Programming
3. Bank Applications Using OOPs
4. File Handling
5. Exception Handling
6. Summary and Conclusion

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Python For Data Science

Day1: Introduction to Python 

  1. What is Python?
  2. Why Python?
  3. Installation of Anaconda 
  4. Data Types
  5. Data Structure 
  6. Control Structure 
  7. Functions 
  8. Summary and Conclusion 
  9. Online Test 1 

Day2: Data Science Introduction 

  1. Data Scientist, Application of Data Science 
  2. Numpy 
  3. Array Creation using List, 
  4. Arange,  ones,  Zeros 
  5. Array Manipulation
  6. Array Data Types and Dimension
  7. Reshape Array
  8. Array Slicing
  9. Numpy Matrix Manipulation 
  10. Pandas 
  11. Series 
  12. Dataframe
  13. Summary and Conclusion
  14. Online Test2 

 Day3:  Data Science Case Study 

  1. Reading CSV and Excel File using Pandas 
  2. Data Frame Manipulation
  3. Matplotlib 
  4. Real Time Case Study using 
  5. numpy, pandas, marplotlib
  6. Descriptive Statistics
  7. Informative Statistics
  8. Data Cleaning
  9. Mean Value
  10. Standard deviation
  11. Correlation
  12. Outlier 
  13. Summary and Conclusion 
  14. Online Test3

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Artificial Intelligence

Session 1: Artificial Intelligence Introduction 

  • What is Artificial Intelligence?
  • AI vs ML vs DL
  • Why Artificial Intelligence?
  • Brief History
  • Applications of AI
  • Summary and Conclusion

 5 Minutes Break 

Session2: Machine Learning Introduction

  • What is Machine Learning?
  • Machine Learning Applications
  • Types of Machine Learning
  • Machine Learning Algorithms
  • Machine Learning Case Study (Demo). 
  • Summary and Conclusion
  • Online Test and Certificate

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Machine Learning

Day 1 (9th October)

πŸ”³ Introduction to Machine Learning

πŸ”· What is Machine Learning?
πŸ”Ά Machine Learning 
πŸ”· Why Machine Learning?
πŸ”Ά Machine Learning Applications
πŸ”· Machine Learning Algorithm
πŸ”Ά Introduction to Linear Regression
πŸ”· Case Study of Linear Regression
πŸ”Ά Summary and Conclusion

Day 2 (11th October)

πŸ”³ Introduction to Logistic Regression

πŸ”ΆWhat is Logistic Regression?
πŸ”· Linear vs Logistic Regression
πŸ”Ά Why Logistic Regression?
πŸ”· Type of Logistic Regression
πŸ”Ά Logistic Regression Case Study (Demo).
πŸ”· Summary and Conclusion

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