Best Data Science with Python Training in Marathahalli - Bangalore | Data Science with Python Training Institutes | Data Science with Python Course Content

Data Science with Python Course

Data Science with Python Course Overview

Data Science with Python Training in Bangalore

MNP Technologies 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. Mnp Technologies 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 MNP Technologies 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.

Book a Free Demo






    MNP Advantage

    Training Modes

    Clasroom Training

    Online Training

    Corporate Training

    Our Happy Students!

    5/5
    4.8

    200+ Reviews

    4.6

    400+ Reviews

    4.8

    100+ Reviews

    4.7

    200+ Reviews

    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

    Frequently Asked Questions

    Trainer

    Our Data Science with Python Trainers
    • Have more than 10 Years of experience in Data Science with Python Technologies
    • Has worked on multiple realtime Data Science with Python projects
    • Working in a top MNC company in Bangalore
    • Trained more than 2000+ Students so far.
    • Strong Theoretical & Practical Knowledge
    • Certified Professionals
    Our Data Science with Python Placement Team
    • Has Trained & Placed 2000+ Students
    • 92% percent Placement Record
    • 1000+ Interviews Organized
    Our Data Science with Python Training centers
    • Bangalore Center
    • Marathalli Center
    • White Field Center
    • K R Puram Center
    • BTM Center
    • Cunningham Road Center
    • J P Nagar Center
    • Kammanahalli Center
    • Ganga Nagar Center
    • Koramangala Center
    • Vijaya Nagar Center
    • Malleswaram Center
    • Ramamurthy Nagar Center
    • Indira Nagar Center
    • Jaya Nagar Center
    • Richmond Road Center
    • Rajaji Road Center
    • Mathikere Center
    Data Science with Python Regular Batch ( Morning, Day time & Evening)
    • Seats Available : 8 (maximum)
    Data Science with Python Weekend Training Batch (Saturday, Sunday & Holidays)
    • Seats Available : 8 (maximum)
    Data Science with Python Fast Track batch
    • Seats Available : 5 (maximum)
    Data Science with Python Online batch
    • Seats Available : 5 (maximum)

    Course

    Our Data Science with Python Course Duration is
    • Approximately 40 Hrs, Interactive & Practical Training Sessions
    • Assignments & Projects will be Provided 
    Data Science with Python Course is Suitable for
    • Windows administrators
    • Software developers
    • Unix system administrators
    • Database administrators
    • Solutions architects
    • Technical support executives
    • And anyone who is interested in Data Science with Python.

    Both are great but are suited for different categories of people. So, those who are time- pressed, are employed, or are busy otherwise, can benefit from online training. It will save time, and trainees will be able to utilize their idle time by taking lessons. There are other benefits too. For instance, they don’t need to be physically present at their training Centre, which not just saves time but also money. This is also helpful when there is no training Centre nearby to enroll for classroom training. Having said that, classroom training has its own upsides too, which we all know of. So, go for whatever suits you best.

    • We have excellent trainers for Data Science with Python with rich experience in industry.
    • 100% student satisfaction rate in Data Science with Python training
    • More than 1000 students completed training in Data Science with Python
    • Excellent Lab facility for Data Science with Python Training
    • We have excellent rating till date, overall 4.9 Rating in Google & Facebook.