Data Science with Python Training

Data Science with Python Training in Bangalore

Dsm Infotech located in Marathahalli, Bangalore is a leading training institute providing real-time and placement oriented Data Science with Python Training Courses in Bangalore. Our Data Science with Python training course includes basic to advanced levels. we have a team of certified trainers who are working professionals with hands-on real-time Python projects knowledge which will provide you an edge over other training institutes. Dsm Infotech gives the best Python training in Marathahalli.
 
Our Python training center is well equipped with lab facilities and excellent infrastructure for providing you real-time training experience. We also provide certification training programs in Data Science with Python Training.  We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide placement support for our students.
 
Our team of experts at Dsm Infotech Training Institute, Bangalore have designed our Data Science with Python Training course content and syllabus based on students requirements to achieve everyone’s career goal.  Our  Python Training course fee is economical and tailor-made based on training requirement.
 
We Provide regular training classes(daytime classes), weekend training classes, and fast-track training classes for Data Science with Python Training in our centers located in Bangalore. We also provide Online Training Classes for  Python Training Course.

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Data Science with Python Course Syllabus

 
1. Introduction
  • 1.1 Introduction
  • 1.2 Why python?
  • 1.3 Installing Python and versions
  • 1.4 Interactive mode, creating and running programs
  • 1.5 Blocks, Indentation, lines and commenting
2. Input/Output and assignment
  • 2.1 Printing
  • 2.2 Input strings and numbers
  • 2.3 Variable declaration and assignment
  • 2.4 Operators
  • 2.5 Expression and Code evaluation
  • 2.6 Error messages
3. Flow Control Loops and decision making
  • 3.1 While loop
  • 3.2 For loop
  • 3.3 if, else
  • 3.4 exit, break
4. Built in Data-Types
  • 4.1 Strings and characters
  • 4.2 Lists
  • 4.3 Tuples
  • 4.4 Dictionaries
  • 4.5 Files
5. Functions
  • 5.1 Function declaration
  • 5.2 Basic function
  • 5.3 Pass by value
6. Error Handling
  • 6.1 Except
  • 6.2 Try, Except and raise exceptions
7. Basic Classes and instances
  • 7.1 Defining a class, basic class
  • 7.2 Instance
  • 7.3 Class Data
  • 7.4 Properties
8. Debugging
  • 8.1 Debugging
Advanced Python Contents
9. Classes and Objects detailed
  • 9.1 Classes detailed
  • 9.2 Constructors
  • 9.3 Generators
  • 9.4 Iterators
  • 9.5 Decorators
10. Regular Expressions
  • 10.1 Defining regular expressions
  • 10.2 Compiling regular expressions
  • 10.3 Using regular expressions
  • 10.4 Match and find
  • 10.5 Examples
11. Networking, DB and CGI
  • 11.1 Networking, telnet and ssh
  • 11.2 Database connection
  • 11.3 Basic graphics
12. Parsing
  • 12.1 Special purpose parsers
  • 12.2 Writing a recursive descent parser by hand
  • 12.3 Parsing command delimited lines
  • 12.4 Parsing functions
  • 12.5 Parsing names, phone numbers
  • 12.6 XML parsing
13. Multithreading
  • 13.1 Multithreading and examples
14. Logging and debugging again
  • 14.1 Logging and debugging examples