Python Training

4.3 (5393) 5597 Learners

Python is growing and growing big time. If you read programming and technology news or blog post then you might have noticed the rise of Python as many popular developer communities including StackOverFlow and CodeAcademy has mentioned the rise of Python as a major programming language.

Download Syllabus

Overview

Python training certification course will help you to understand the high-level, general-purpose dynamic programming language. In this Python training course, you will be exposed to both the basic and advanced concepts of Python like Machine Learning, Deep Learning, Hadoop streaming and MapReduce in Python, and you will work with packages like Scikit and SciPy.

 

What you will learn

  • Python Basic Constructs 
  • Exception Handling 
  • Matplotlib
  • OOPS in Python
  • Multi-threading
  • Python for Apache Spark
  • Pandas NumPy & SciPy
  • Web Scraping 
  • Packages & functions
  • Database Connections

Benefits

Data science and machine learning are the two main things Python is perfect for. Code simplicity, higher salary, and automation are just some of the best reasons to Learn Python, if you're on the fence about it.

  • The good old development is another reason for learning Python.It offers so many good libraries and frameworks e.g. Django and Flask which makes web development really easy.
  • The task which takes hours in PHP can be completed in minutes on Python. Python is also used a lot for web scrapping. Some of the popular websites on the Internet like Reddit is built using Python.
  • Python developers are one of the highest paid developers, particularly in the Data Science, Machine learning and web development.
  • On average also, they are very good paying, ranging from 70,000 USD to 150,000 USD depending upon their experience, location, and domain.

Course Content

Introduction to Python Language 12:00 Play
Features, the advantages of Python over other programming languages 12:00 Play
Python installation – Windows, Mac & Linux distribution for Anaconda Python 12:00 Play
Deploying Python IDE 12:00 Play
Basic Python commands, data types, variables, keywords and more 12:00 Play
Built-in data types in Python 14:00 Play
Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug 14:00 Play
Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise 14:00 Play
Loop and control statements while, for, if, break, else, continue. 14:00 Play
How to write OOP concepts program in Python 15:00 Play
Connecting to a database 15:00 Play
Classes and objects in Python 15:00 Play
OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation 15:00 Play
Python functions, return types and parameters 15:00 Play
Lambda expressions 15:00 Play
Understanding the Database, need of database 14:00 Play
Installing MySQL on windows 14:00 Play
Understanding Database connection using Python. 14:00 Play
Introduction to arrays and matrices 13:00 Play
Broadcasting of array math, indexing of array 13:00 Play
Standard deviation, conditional probability, correlation and covariance. 13:00 Play
Introduction to SciPy 12:00 Play
Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem. 12:00 Play
How to plot graph and chart with Python 10:00 Play
Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots. 10:00 Play
Introduction to Python dataframes 15:00 Play
Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe 15:00 Play
Various data operations like selecting, filtering, sorting, viewing, joining, combining 15:00 Play
Introduction to Exception Handling 11:00 Play
Scenarios in Exception Handling with its execution 11:00 Play
Arithmetic exception 11:00 Play
RAISE of Exception 11:00 Play
What is Random List, running a Random list on Jupyter Notebook 11:00 Play
Value Error in Exception Handling. 11:00 Play
Introduction to Thread, need of threads 12:00 Play
What are thread functions 12:00 Play
Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread 12:00 Play
Creating a Multithread, finishing the multithreads. 12:00 Play
Understanding Race Condition, lock and Synchronization. 12:00 Play
Intro to modules in Python, need of modules 12:00 Play
How to import modules in python 12:00 Play
Locating a module, namespace and scoping 12:00 Play
Arithmetic operations on Modules using a function 12:00 Play
Intro to Search path, Global and local functions, filter functions 12:00 Play
Python Packages, import in packages, various ways of accessing the packages 12:00 Play
Decorators, Pointer assignments, and Xldr. 12:00 Play
Introduction to web scraping in Python 14:00 Play
Installing of beautifulsoup 14:00 Play
Installing Python parser lxml 14:00 Play
Various web scraping libraries, beautifulsoup, Scrapy Python packages 14:00 Play
Creating soup object with input HTML 14:00 Play
Searching of tree, full or partial parsing, output print 14:00 Play

Course Details

This Python training will give you hands-on experience in mastering the one of the best programming languages that is Python. In this online Python course you will learn about the basic and advanced concepts of Python including MapReduce in Python, machine learning, Hadoop streaming and also Python packages like Scikit and Scipy.

As part of this online Python course you will be working on real time Python projects that have high relevance in the corporate world, step-by-step assignments and curriculum designed by industry experts. Upon completion of the Python online course you can apply for some of the best jobs in top MNCs around the world at top salaries.

Course Info.

Lenght
40+ Hours
Effort
2-3 Hours/week
Institution
Pcap
Language
English
Video Script
English

Training Options

Selfpaced Training

200
  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 3 simulation test papers for self-assessment
  • Lab access to practice live during sessions
  • 24x7 learner assistance and support

Live Virtual Classes

299
  • Online Classroom Flexi-Pass
  • Lifetime access 
  • Practice lab and projects 

 

One on One Training

680
  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
  • Enterprise grade learning management system (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Exam & Certification

Duration: 65 minutes (exam) + 10 minutes (Non-Disclosure Agreement/Tutorial)

Number of Questions: 40

Format: Single-choice and multiple-choice questions

Passing Score: 70% 

Language: English

Python Training

FAQs

  • BI Managers and Project Managers
  • Software Developers and ETL Professionals
  • Analytics Professionals
  • Big Data Professionals
  • Those who wish to have a career in Python

You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help you.