Python, Data Science & ML

Description

This an exclusive course designed for college students and job seekers who are looking to acquire industry standard skills to choose Data Science and Machine Learning as their career track. This course is uniquely designed keeping in mind the needs of the freshers. In this course you will learn Python, Python libraries required for Data Science, Data Science and Machine Learning concepts along with test series and project experience. At the end of the course you will have 3 exams at 3 levels conducted by National Institute of Electronics and Information Technology, Bhubaneswar, Govt. Of India, passing which you will face the recruitment process with some of our Recruiters.

Course Content Access Duration: 6 months x 24 hours (4320 hours)

This course includes:

  • Pre Recorded Video lectures
  • Theoretical & Practical Content
  • Assignment
  • Practical Test Series
  • Weekly Syllabus Wise Content Release
  • Weekly 3 Live Classes by Expert Mentor (1 hr/per live class)
  • 24×7 doubt clearing support through inbuilt Q&A module
  • Periodical  Practice Projects
  • Industry Level Project Experience
  • Resume Preparation
  • 1:1 Mock Interviews
  • NIELIT Examination & Certification (6th Month)

Once certified you will be eligible for our Placement support from the 7 month onward

  • Dedicated Placement Manager
  • Access to our Recruiters Network
  • Final Placement Interviews

If we are not able to bring companies for your placement within 3 months of your course completion and certification, then you become eligible for our Money Back Guarantee Policy.

* Please read the money back guarantee terms  – Click Here To Read The Refund Policy

 

Topics for this course

52 Lessons6480h

Video Lecture – Part 1?

💻 1 - Introduction to Python (For Absolute Beginners) 💻 2 - How to Install Python 3 on Windows 10 💻 3 - Basic Math, Mathematical Operators and Python Expressions 💻 4 - Python Variables and Types

Video Lecture – Part 2?

💻 5 - Python print() and input() Function 💻 6 - Python Built-in Functions and Built-in Module 💻 7 - Creating and Executing your First Python Script (Run .py file) 💻 8 - Install PyCharm ( Python IDE ) on Windows 10 + First Project

Video Lecture – Part 3?

💻 9 - Python Strings and Comments 💻 10 - Boolean, Comparison Operators and Logical Operators in Python 💻 11 - Python IF ELSE Statements 💻 12 - Python IF...ELIF...ELSE Statements + nested IF statements

Video Lecture – Part 4?

💻 13 - Python Lists 💻 14 - Python Tuples 💻 15 - Python Sets 💻 16 - Python Dictionary

Video Lecture – Part 5?

💻 17 - Python Slice and Negative index 💻 18 - Python while Loop 💻 19 - Python for Loop 💻 20 - Python break, continue statement

Video Lecture – Part 6?

💻 21 - Python Functions 💻 22 - Default Arguments, *args and **kwargs (Variable-length Arguments) 💻 23 - Introduction to Object-Oriented Programming (OOP) 💻 24 - Classes and Objects in Python (OOP)

Video Lecture – Part 7?

💻 25 - Python __init__ and self in class 💻 26 - Is it possible to define multiple constructors in Python? 💻 27 - Python Encapsulation 💻 28 - Private methods in Python

Video Lecture – Part 8?

💻 29 - Python Inheritance 💻 30 - How To Create Modules in Python 3 💻 31 - Python Multiple Inheritance

Video Lecture – Part 9?

💻 32 - Python super() 💻 33 - Python Composition 💻 34 - Python Aggregation + Difference in Aggregation and Composition 💻 35 - Python Abstract Classes

Video Lecture – Part 10?

💻 36 - Python Exception handling + Python Try Except 💻 37 - Try Except Else Finally (Python Exception handling) 💻 38 - Raising Exceptions In Python 💻 39 - Raising Custom Exceptions (Writing and Using Custom Exceptions)

Video Lecture – Part 11?

💻 40 - Idea behind : if __name__ == "__main__" 💻 41 - Create a Text File and Write in It Using Python 💻 42 - Reading Files in Python 💻 43 - Working With JSON Data in Python

Video Lecture – Part 12?

💻 44 - Python Iterators 💻 45 - Python Generators

Video Lecture – Part 13?

💻 46 - Command Line Arguments in Python with argparse 💻 47 - Lambda, filter, reduce and map 💻 48 - Python Closures + nested functions

Video Lecture – Part 14?

💻 49 - Python Decorators 💻 50 - Python Operator Overloading

Video Lecture – Part 15?

💻 51 - An Introduction to Python Debugger (pdb) 💻 52 - How to use PyCharm to debug Python code

Video Lecture – Part 16?

💻 53 - How to use Pip and PyPI for managing Python packages 💻 54 - How to Install Pip packages using PyCharm 💻 55 - Global, Local and Nonlocal variables in Python

Revision

Python Flow Control

Python Functions

Python Datatypes

Python Files

Python Object & Class

Python Advanced Topics

Python Date & Time

Statistics – Part 1

Statistics – Part 2

Math Operations with NumPy

Data Manipulation with Pandas

Visualization with Matplotlib

Data Manipulation

Data Analysis

Data Visualization

Linear Regression

Classification

Clustering Wines

Machine Learning – Basics

Classification

Model Evaluation

Decision Tree Model

Random Forest Model

Neural Networks

50,000.00

Enrolment validity: Lifetime