+91-7834999925       contact@tacthub.in

Python Advance & Introduction to Data Science


 Beginner

INR 10000/-  INR 3200/-

What You'll Learn

About

Learning Data Analytics with Python. Using Sorting Insertion, bubble sort updation with hands on project work experience. Introduction to Numpy, Pandas & Matplotlib Library.

Requirements

  • Anyone can learn
  • Basic computer background
  • School Students can also learn
  • Computer / IT background 

Course Outline

  • Python Introduction
  • Types of operators
  • Data types
  • IF Conditions
  • Looping Statements
  • Sum of array elements
  • Reverse List elements
  • Even number in list
  • String Functions
  • Some other Questions
  • Inheritance
  • Data hiding
  • Polymorphism
  • Constructor/Destructor
  • Some other Questions
  • Try-Catch exception Handling
  • User-defined Exception
  • Insertion Sort
  • Bubble Sort
  • Selection Sort
  • Read and Writing in Files
  • Insertion in Files
  • Updation in Files
  • Create a table
  • Insertion in Table
  • Deletion in table
  • Updation in Table
  • Grade System
  • Gaming project -1
  • Gaming Project -2
  • Installation of Jupyter notebook
  • Importing Libraries
  • Numpy
  • Pandas

Learners also Bought

Advanced Certification in Machine learning
Beginner Certification in Machine Learning
Certification in Deep Learning by BOSTON
Advanced Certification in Artificial intelligence
Certification in Data Science by BOSTON
Artificial Intelligence - Certification by Boston & Intel
Certification in Machine Learning - Boston & Intel AI Academy
Certification in Computer Vision - Boston Training Academy
1590910146Alka.jpeg

 0.0 Instructor rating

 0 Reviews

 1686 Students

Alka Sachdeva

Working with only sole motive of spreading knowledge and upgrading education tools. Making the technology understandable to all segment of learners.

Student feedback


0.0 average based on 0 reviews
Course Features

Scheduled Batches

  • Sun
  • Mon
  • Tue
  • Wed
  • Thu
  • Fri
  • Sat
  •  
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  •  
  •  
  •  
  •