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Python with Data Science

Python with Data Science Internship Training in Lucknow and Noida

Softpro Training provides the best Python with Data Science in Lucknow and Noida. We are proud that your support and candidates result has made us the leading and the best Python with Data Science training institute in Lucknow and Noida. We offers the amazing training on Python with Data Science under guidance of highly experienced IT professionals.

Softpro's Python with Data Science is an advance level coure which aims at imparting knowledge to the trainees in the field of Data Science. The students become skilled in using Python Programming to implement Data Science and process information from the fields of analytical, mathematical and business logic.


You will Learn:

Python Basics, Machine Learning, Data Mining, Data Analysis, Business Intelligence, Collection Types, Data Visualization, etc.


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5/5 Ratings
1,400 trainees from
250+ Colleges

Projects
Industry standard projects
and assignments

Curriculum by experts
Designed by top professionals with 10+ years of experience

Why Python with Data Science from Softpro!

   Live Interactive Learning

World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing

   Lifetime Access

Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content

   24x7 Support

One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time

  Hands-On Project Based Learning

Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments

   Industry Recognised Certification

Softpro Training Certificate
Graded Performance Certificate
Certificate of Completion

   Cloud Lab

Preconfigured Lab Environment
Infrastructure with Tools and Software
Single Sign-On

What will you learn?

  1. Python Introduction
  2. Python use cases
  3. Features of Python
  4. Versions of Python
  5. Python distributions
  6. Installation of Python
  7. Setting path for Python
  8. Python Command line shell, Editors and IDE’s
  9. Running Python Script on Windows/Linux
  10. Keywords
  11. Data types
  12. Static data types vs. Dynamic data types
  13. Fundamental Data types
  14. Collection Types
  15. Number systems
  16. Mutable objects vs. Immutable objects
  17. Variables
  18. Naming Conventions
  19. Print(), Type() and Id() functions
  20. Input() and raw_input() functions
  21. Type Conversion functions

  1. String Handling
  2. What is string
  3. String-quoted string literals
  4. Triple-quoted string literals
  5. String Indexing
  6. String Slicing
  7. Working with string functions

  1. Elements of flow control
  2. Block/Clause
  3. Conditional Statements
  4. Simple – if
  5. If – else
  6. If – elif
  7. Looping Statements
  8. While loop
  9. While --- else
  10. For loop
  11. Using range() in for loop
  12. Break statement
  13. Continue statement
  14. Pass statement

  1. Introduction to collections
  2. List
  3. Tuple
  4. Set
  5. Dictionary
  6. Collections Indexing and Slicing
  7. Functions for all collections
  8. Iterating through a collections
  9. Operators and keywords for collections
  10. Difference between list, tuple and set
  11. Sorting collections

  1. Defining a function
  2. Calling a function
  3. Function Parameters
  4. Types of arguments
  5. Return statement in functions
  6. Handling return values
  7. Global and local variables
  8. Call by value
  9. Call by reference
  10. Passing collection to a functions
  11. Lambda functions/ anonymous functions
  12. Passing functions to function
  13. Filter() and map() functions

  1. What is module
  2. Types of modules
  3. The import statement
  4. Module aliases/ renaming a module
  5. From .. Import
  6. Reloading a module
  7. Working with pre-defined Standard modules (Math, Datetime, Os, Sys, String….)

  1. What is Exception?
  2. Need of exception handling
  3. Predefined exceptions
  4. Predefined exceptions hierarchy
  5. Try, except and finally clauses
  6. Named except block
  7. Default except block
  8. Handling multiple exceptions
  9. Nested try, except and finally blocks
  10. User defined Exceptions

  1. Introduction to OOPs programming
  2. Encapsulation
  3. Defining classes
  4. Creating objects
  5. Constructor
  6. Defining methods
  7. Objects reference count
  8. Objects garbage collection
  9. Inheritance
  10. Types of inheritances
  11. Polymorphism
  12. Super() statement
  13. Data hiding
  14. Custom exception classes
  15. Inner classes
  16. Regular Expressions
  17. Simple character matches
  18. Special Characters
  19. Character Classes
  20. Quantifiers
  21. Forming regular expressions
  22. Greedy matches
  23. Compiling regular expressions
  24. Grouping
  25. Match objects
  26. Match(), Search() and Sub() functions
  27. Splitting of string
  28. Replacing text
  29. Flags

  1. Installation of mysql database
  2. Creating databases in mysql
  3. Creating users and assigning privileges to the users in mysql
  4. Installation of mysql python modules
  5. Establishing connection with mysql
  6. Closing mysql database connections
  7. Execution of insert, update, delete and select queries
  8. Handling db errors

  1. Python Iterator
  2. Python Generator
  3. Python Closure
  4. Python Decorators
  5. Web Scraping
  6. PIP
  7. Installation of external modules using PIP
  8. Working with JSON files
  9. Test cases implementations
  10. Working with OpenCv
  11. Face detection system using OpenCv and Python
  12. Text to speech convertor in Python

Python with Data Science Certification
Every trainee who has received training from Softpro India is now building a successful career in top companies.
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