Advanced Certification in Python

Discover the ultimate Python journey with NettechIndia's Best Python Course in Mumbai! Dive into Python's versatility, from web development to data science. Learn from seasoned instructors, grasp core concepts, and embark on hands-on projects. Elevate your programming prowess and unlock endless career opportunities in the dynamic world of technology!

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Advance Certification in Python
  • OVERVIEW
  • CURRICULAM
  • WHY NETTECH INDIA ?
  • CERTIFICATION
  • JOB OPPORTUNITES

Are you ready to dive into the lucrative world of data science? Look no further than NetTech India's Advanced Certification in Python for Data Science. Located conveniently in Thane, Dadar, Andheri, and Nerul, our institute offers accessible and affordable training to aspiring data scientists


With an average salary of INR 13,40,000 per annum for entry-level data scientists in India (source: Glassdoor), the demand for skilled professionals in this field is soaring.
We Prepare You to Become the Python Developer that the Industry Needs!


Who Should Take This Course ?

Our Advanced Certification in Python for Data Science is designed to cater to a wide range of individuals. Whether you have prior programming knowledge or are a complete beginner, our expert instructors ensure that you grasp the fundamentals before delving into advanced concepts. This course is perfect for:

  • Recent graduates looking to kick-start their career in data science
  • Working professionals aiming to transition into the IT industry
  • Individuals eager to enhance their data analysis skills

Program Highlights

Our Advanced Certification in Python for Data Science covers a comprehensive curriculum, ensuring that you gain a deep understanding of key concepts. Here are the program highlights:

  • Comprehensive curriculum covering Python for data analysis, machine learning, and AI.
  • Practical training with Python libraries such as NumPy, Pandas, and Scikit-Learn.
  • Earn an Advanced Certification in Python for Data Science upon course completion.
  • Networking opportunities with industry experts and peers.
  • Access to a range of resources and tools to support your learning journey.

It's time to take the first step towards a rewarding career in data science. Enroll now in this program and embark on a transformative learning journey. With our expert guidance, practical approach, and prestigious certification, you'll be well on your way to success in the booming IT industry. Don't miss out on this opportunity!

For more information and to enroll, visit our website or contact us today. Your future in data science starts here.

  • History of Python
  • Why to learn python
  • How is Python Different?
  • Installing Python

  • Using the interpreter
  • Integrated Development Environments (IDE) How to run Python programs?
  • How is Python Different?

  • Variable
  • Keywords
  • Statements & Comments
  • Indentation
  • Data types
  • Static Typing vs Dynamic Typing
  • Input and output
  • Operators Arithmetic operator Relational Operator Assignment Operator
  • Logical operator Bitwise operator Membership Operator
  • Identity Operator

  • If statement
  • If - else
  • If - elif -else
  • Nested if-else
  • while loop
  • for - in loop
  • Nested for loop
  • Nester while loop
  • Loop with else
  • Pass statement
  • Break and continue

  • Basics Defining function
  • function call Return statement
  • Function with parameter and without parameter
  • Function parameters Call by value or call by reference local and global variable
  • Recursion, Anonymous (lambda) function
  • User define functions
  • Examples

  • Basics Defining function
  • Defining module
  • How to create a module
  • Importing module
  • Dir()
  • Module search path
  • Reloading a module
  • Sys module
  • Os module
  • namespace

  • Defining package
  • How to create the package
  • Importing package
  • Installing third party packages
  • Dir()
  • Module search path
  • Reloading a module
  • Sys module
  • Os module
  • namespace

  • Numeric type basics
  • Hexadecimal, Octal, and Binary Notation Complex Numbers
  • Typecasting Numeric Functions
  • Random number generation(Using Random Modules)

  • Defining a string
  • Different ways to create string Accessing elements of the string Escape sequence
  • Raw string String methods String formatting Expressions

  • Defining a list
  • Creating list
  • Accessing list elements of list
  • Deleting list
  • List methods
  • Functions used with list
  • List comprehension
  • Implementation of stack and queue using list
  • Use of Zip ()
  • Matrix operations using list

  • Defining a tuple
  • Creating a tuple
  • Accessing elements of the tuple
  • What is Immutability
  • List vs tuples
  • Tuple Methods Functions used with tuple
  • Advantage of Tuple

  • Defining a dictionary
  • Creating a dictionary
  • Accessing elements of the dictionary
  • Deleting a dictionary
  • Dictionary methods
  • Dictionary Comprehension

  • Defining a set
  • Creating set
  • Set operations
  • Set methods
  • Set comprehension

  • Defining a file
  • Types of file operations
  • Opening a File
  • Closing file
  • File modes
  • File attributes
  • Writing to file
  • Reading from file
  • Appending to file
  • File positions
  • Binary file
  • Pickle module

  • Defining an exception?
  • Default exception handler
  • Exception handling techniques
  • User-defined exceptions
  • Data types
  • Static Typing vs Dynamic Typing
  • Input and output
  • Operators Arithmetic operator Relational Operator Assignment Operator
  • Logical operator Bitwise operator Membership Operator
  • Identity Operator

  • Method vs function Calling methods
  • Instance attribute vs class attribute
  • Instance method vs class method
  • Private attribute and method Static Method
  • Method Overloading Constructor
  • Method Overriding Constructor
  • List of objects Inheritance
  • Examples

  • Process-based multitasking
  • Thread based multitasking
  • Creating a Thread without using class
  • Creating thread using class
  • Sleep() method
  • Join() method Getting and setting the name of the Thread Logging module
  • Synchronization
  • Lock concept
  • Object-Oriented
  • Inter thread communication
  • Is_Alive() method
  • Active_count() method
  • Enumerate() method
  • Current_thread() method
  • Daemon Thread

  • Introduction to Tkinter
  • Creating a window Tkinter widgets Label
  • Button Entry Messagebox List
  • Radio Button CheckButton Creating Frame
  • Creating Menu Assignments on Tkinter
  • Examples

  • Defining an event
  • Bind() method
  • Mousse events
  • Keyboard events
  • Examples

  • Introduction to MySQL.connector module, Connecting to the database by using MySQL, Creating a table by MySQL
  • Performing SQL operations, Introduction to mysql, Installing mysql, Creating database using mysql
  • Connecting MySQL database from python, Creating a table, Performing
  • SQL operations
  • Examples

  • Introduction to Network programming, Ip address, Port NumberSocketmodule, Server socket, Client socket, Socket methods, TCP socket, UDP socket
  • Create server-client examples

  • Defining an executable file , Deploying the application

  • Create GUI and store data in the Database. (5-day session) Create a server-client program. (using TCP )
Why Choose NetTech India?

When it comes to choosing the right training institute for your data science journey, NetTech India stands out in several ways. Here's why you should consider us:

Expert Guidance

At NetTech India, we believe in providing the best learning experience for our students. That's why we have industry professionals with hands-on experience in Python and data science as our instructors. Our experts provide personalized guidance, ensuring that you master complex concepts and feel confident in your abilities.

Practical Approach

Data science is all about practical application, and that's exactly what you'll get at NetTech India. Through hands-on python projects and case studies, you'll gain practical experience that will prepare you for real-world challenges in the field. We believe in learning-by-doing, and our practical approach reflects that.

Certification

Upon completion of our Advanced Certification in Python for Data Science, you'll receive a Certified Professional Diploma in Data Science. This certification is recognized by top companies in the industry, giving you a competitive edge in the job market. With this prestigious certification, you'll be well-equipped to land your dream job in data science.

Placement Assistance

We understand the importance of securing a job after completing your training. That's why we offer a comprehensive placement assistance program. Our program is designed to connect you with leading companies in the industry, increasing your job prospects and helping you kickstart your career in data science.

Flexible Learning

We believe that everyone learns at their own pace, which is why we offer flexible learning options. You can choose from full-time, part-time, or weekend batches to fit your schedule and learning style. We understand that life can be busy, but with NetTech India, you can pursue your data science dreams without compromising on your other commitments.

State of the Art Infrastructure

When it comes to learning, having the right environment is crucial. At NetTech India, we provide access to cutting-edge facilities at our Python Training Institute in Thane, Andheri, and Nerul. You'll have access to state-of-the-art infrastructure and resources that will enhance your learning experience.

    Our Certification
  • NetTech India
    Career Opportunity After Completing Python Course
  • Software Engineer
  • Python Developer
  • Research Analyst
  • Data Analyst
  • Data Scientist
  • Software Developer
  • Data analytics
  • Cell and UI development
  • BigData Analyst
  • Business Analyst
  • Data Research Analyst
  • IT Consultant Desktop Application Developer
Enquire Now
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