Python Programming

40 Hrs

Python language is one of the most popular programming languages which has seen a 10% increase in the number of users, year on year. It is the leading language used in the Data Science industry. Hackernoon suggests that Python Certification is one of the most desirable skills in the entire programming domain. By taking a Python course and learning Python Programming to take a Python Certification, you will pave a way to opportunities much larger than you ever had.


Objectifs de la mission

Understanding the need of Python Programming in the industry Starting with the journey in Python Programming String Manipulation Compound Datatypes Conditional and Control Flow Functions Error Handling And Few Et Cetra(s) Object Oriented Programming Regular Expressions Database Intended Audience: Freshers who wish to learn Data Science or Machine Learning Non-IT professionals who wish to switch to the Data Science Industry Computer Science graduates with weak programming skills At the end of the training participants will be able to utilize Python for data analysis.

Compétences

   Jupyter Notebook

   Python Programming and Numerical Python (NumPy)

   Advanced Data Analysis Using Pandas (Part- 1)

   Object Oriented Programming


Programme

Data Science

Python Programming

PROGRAMME

How to Install Jupyter Notebook

    How to Install Jupyter Notebook

Chapter 1 | Starting with the journey in Python Programming

    Content | Starting with the journey in Python Programming

    Content | Starting with the journey in Python Programming

    Quiz | Starting with the journey in Python Programming

Chapter 2 | String Manipulation

    Content | String Manipulation

    Content | String Manipulation

    Quiz | String Manipulation

Chapter 3 | Compound Datatypes

    Content | Compound Datatypes

    Content | Compound Datatypes

    Content | Compound Datatypes

    Content | Compound Datatypes

    Quiz | Introduction To The Basics Of Python Programming

Chapter 4 | Conditional and Control Flow

    Content | Conditional and Control Flow

    Content | Conditional and Control Flow

    Content | Conditional and Control Flow

    Content | Conditional and Control Flow

    Quiz | Conditional and Control Flow

Milestone Project 1

    Milestone Project 1

Chapter 5 | Scientific computing with Python – Numerical Python (NumPy)

    Content | Scientific computing with Python – Numerical Python (NumPy)

    Quiz | Scientific computing with Python – Numerical Python (NumPy)

Chapter 6 | Introduction to Pandas (Part -1)

    Content | Introduction to Pandas (Part -1)

    Quiz | Introduction to Pandas (Part -1)

Chapter 7 | Advanced Data Analysis Using Pandas (Part- 1)

    Content | Advanced Data Analysis Using Pandas Part- 1

    Quiz | Advanced Data Analysis Using Pandas Part- 1

Chapter 8 | Object Oriented Programming

    Content | Object Oriented Programming

    Content | Object Oriented Programming

    Content | Object Oriented Programming

    Content | Object Oriented Programming

    Content | Object Oriented Programming

    Quiz | Object Oriented Programming

Chapter 9 | Functions

    Content | Functions

    Content | Functions

    Content | Functions

    Content | Functions

    Quiz | Functions

Chapter 10 | Error Handling And Few Et Cetra(s)

    Content | Error Handling And Few Et Cetra(s)

    Content | Error Handling And Few Et Cetra(s)

    Content | Error Handling And Few Et Cetra(s)

    Content | Error Handling And Few Et Cetra(s)

    Quiz | Error Handling And Few Et Cetra(s)

Chapter 11 | Regular Expressions

    Content | Regular Expressions

    Quiz | Regular Expressions

Chapter 12 | Database

    Content | Database

    Content | Database

    Content | Database

    Quiz | Database

Milestone Project 2

    Milestone Project 2

programme-3

À propos du formateur

Cours

Divya Mahajan

AUTRE, ?