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Python Certification Training

Python Certification Training

About Python Certification Training

Python training course will help you master the high-level, dynamic programming language. Learn the fundamental and advanced concepts of Python and Big Data like machine learning, Hadoop, MapReduce and work with packages like Lambda function, SciPy, NumPy, etc. Our expert trainers will help you get hands-on experience with Python programming and frameworks.

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About Course

What is Python?

Python is an object-oriented, high-level programming language with integrated dynamic semantics mainly for web and app development. It’s extremely engaging in the field of rapid Application Development as a result of it offers dynamic typing and dynamic binding options.

What does a Python Developer do? 

Python Developer is responsible for writing server-side web application logic. Python web developers develop back-end elements, connect the application with the other (often third-party) web services, and support the front-end developers by integrating their work with the Python application.

Why learn Python Training?

Python is a highly popular object-oriented language that's fast to learn and simple to deploy and also one of the 1st choices as a career option.

Python runs on various systems like Windows, Linux and mac thus make it highly in demand for the data analytics domain.

Thus the Python job market is gaining demands and values in the industry resulting in more increasing jobs for Python certifies professionals.

According to indeed.com, the average salary for a Python Developer is very good for about $122,060 per year in the United States. 

Upon completion of Python certification training, you'll be able to work in the big data Hadoop environment for very high salaries.

Who should take this course?

  • BI Managers and Project Managers
  • Software Developers and ETL professionals
  • Big Data and Analytics professionals
  • Professionals or graduates who wanting to have a career in Python

What you’ll learn in Python Certification Training?

  • Importance & introduction to Python, its installation
  • Learn File and sequence operations in Python
  • Get to work on Hadoop deployment with MapReduce
  • Study OOP, expressions, data types, looping, etc.
  • Get to understand SQLite in Python, functions, operations, and class defining
  • Use Python for writing and deploying Pig UDF and Hive UDF
  • Understand the Machine Learning Algorithms in Python
  • Work on a real-life Hadoop project running on Python

Prerequisites

  • Not any specific requirement to learn Python
  • Prior programming expertise is desirable however not necessary
  • Basic knowledge of object-oriented programming concepts is preferred but not necessary

Python Course Highlights

  • Master the fundamental and advanced concepts of Python
  • Learn about File and Sequence Operations         
  • Learn Python scripts on Unix/Windows, Python editors, and IDEs
  • Learn how to use and build functions, sorting different components, Lambda function, error and exception handling techniques and Regular expressions using modules in Python
  • Understand Socket programming by working on real-time projects
  • Getting familiar and installing Python packages, Pandas, Scikit-Learn, SciPy, Matplotlib, NumPy, Lambda Function, Web scraping libraries etc.
  • Learn to operate with MySQL database by installing MySQL-server, making database and connecting MySQL and Python
  • Master Python Frameworks like DJANGO and FLASK
  • Working on real-life industry-based projects
  • Group discussions, Mock interview sessions, and Interview questions to prepare you to attend interviews with confidence.

How EnhanceLearn Training can help you

  • 48 Hours of hands-on session per batch and once enrolled you can take any number of batches for 90 days
  • 24x7 Expert Support and GTA (Global Teaching Assistant, SME) support available even to schedule a one on one session for doubt clearing
  • Project Based learning approach with evaluation after each module
  • Project Submission mandatory for Certification and thoroughly evaluated
  • 3 Months Experience Certificate on successful project completion

For becoming a Python expert, choose our best Python Training and Placement Program. If you are interested in joining the EnhanceLearn team, please email at training@enhancelearn.com.

Course Curriculum

Module 1:  Python introduction

  • Python Essentials
    • What is Python
    • Python Timeline
    • Features of Python
    • Versions of Python
  • Understanding the Open Source
    • Installation of Python
    • Python Scripts on UNIX/Windows
    • Windows, Mac & Linux distribution for Anaconda Python
    • Understanding Interpreters
      • ipython
      • bpython
    • Getting started with Python
  • Setting up the IDE and various IDEs (Integrated Development Environment)
    • Deploying Python IDE
    • Python Editors and IDEs
    • Setting up using the PEP
      • Indentation
      • Tabs or spaces
      • Maximum line length
      • Blank lines
      • Source file Encoding
  • Creating the first Python Program
    • Understanding sha-bang
    • Understanding the .py extension
    • Basic Syntax
    • Running a Python Script

Module 2: Types, Strings, Variables and Operators

  • Type casting in Python
  • Various ways of Printing
  • Boolean Operators
  • Playing with Numbers
  • Playing with Strings
    • String Quotes
    • Raw Strings
  • Docstring & Comments
  • Accepting Inputs
  • Keywords
  • Variables
  • Naming Conventions
  • Print(),Type(),Id() Functions
  • Input(), Raw input() functions
  • Conversion functions
  • Conditional Statements
    • Introduction
    • Boolean Expressions
    • Logical Operators
    • Using If Condition
    • Applying PEP Standards
  • Looping Statements
    • For, while, range, break,
    • Pass, Continue
  • Use of loops in python
  • Programming using Python conditional and loops block
  • Function Basics
    • Scope rules in Functions
      • Global Scope
      • Local Scope
  • Understanding the Return Keyword
    • Argument Passing
    • Default Argument List
    • Keyword Arguments
  • Understanding the Docstrings
    • List Comprehensions
    • Lambda, Map and Filters
  • Understanding the Closures
  • Lambda Funtion
  • Organizing python codes using functions
  • Powerful Lambda function in python
  • Programming using functions
  • Understanding the Namespaces
    • Various ways of Importing
    • "reload" Operation
    • understanding about sys.path
    • dir() Function
    • Understand the __main__ and __name__at are Modules?
  • Installation of a module
  • Understanding the virtualenv
  • Understanding Packages
  • Organizing python projects into modules
  • Importing own module as well as external modules
  • Programming using modules and external packages
  • Lists
  • Strings
  • What are Lists?
    • Mutable Lists
    • In Operator
    • Traversing a List
    • List Operations
    • Indexing
    • Slicing
    • Converting a List to String
    • Converting a String to List
    • Aliasing in Lists
    • Functions in Lists
  • What is Tuples?
    • Indexing in Tuples
    • Slicing in Tuples
    • Immutable Tuples
    • Packing and Unpacking
    • Lists and Tuples
    • Functions in Tuples
  • What are Dictionaries?
    • Keys and Values
    • In Operator
    • Looping in Dictionaries
    • Lookups in Dictionaries
    • Dictionaries and Tuples
    • Functions in Dictionaries
    • Dictionaries vs Sets
  • Dictionary manipulation
  • Reading and Writing Files
  • Methods of File Objects
  • Buffering in files
  • Parsing a xml and xls files
  • Pickles
  • Output using Pickle
  • Introduction to Subprocess, OS
  • Understanding read and write functions
  • Manipulating file pointer using seek
  • Programming using file operations
  • OOP: What is Object Oriented Programming
  • Understanding the classes, objects and instances in Python
  • Using the Class Statement
  • Methods in Classes
    • Constructor
    • Magic Methods
    • Attributes
    • Destructors
  • Understanding Inheritance, Polymorphism and Encapsulation
  • Operator Overloading
  • Programming using Oops support
  • Understanding the Regular Expressions
    • Getting Started
    • Flags - ignorecase, dotall
    • Working with Multiple Flags
    • Compiling a Pattern
    • Pattern matching and searching
    • Pattern searching using regex in python
    • Parsing of networking or system data using regex
    • Search vs Match
    • Raw String Notations
    • Special Characters
      • Globbling Characters
      • Anchors
      • Character Sets
    • Grouping
  • Password, email, url validation using regular expression
  • Pattern finding programs using regular expression
  • What are Exceptions
  • Simulating Errors
  • Various types of Exceptions
  • Exception Handling - try, except, else, finally
  • Trapping Errors
  • Raising Exceptions
  • Customized Exceptions
  • Avoiding code break using exception handling
  • Safe guarding file operation using exception handling
  • Introduction to Debugging
  • Debugging using IDE
  • Various modes to get to pdb
    • Script mode
    • Enhanced Script mode
    • Post Mortem mode
    • Run mode
    • Trace mode
  • Understanding Logging
  • Understanding the log levels
  • Understanding Stream Handling
  • Config
  • Understanding Logger
  • Understanding Handlers
  • Understanding Formatters
  • Understanding Filters
  • Introduction
  • Working with mysql Databases
    • How to install mysql-server
    • Creating a Database
    • Creation of the user and giving grants
    • Granting access to the Users
    • Connecting mysql and python
  • Python and Mysql
    • Creating a table
    • Retrieving data
    • Dictionary cursors
    • Column headers
  • Integration with various databases (Mariadb, oracle)
  • Introduction to ORM and sqlalchemy
  • SQL Database connection using python
  • Understanding threads
  • Forking threads
  • Synchronizing the threads
  • Programming using multithreading
  • Introduction
  • Understanding Basics
    • Routing
    • Protocols - udp & tcp
  • Working with Sockets
    • How to connect to Server
    • Connect on Port
    • Sending and Receiving Data
    • How to close the socket
  • Programming a Socket Server
    • Bind a Socket
    • Listen to incoming Connections
    • Accept Connections
    • Live Server
    • Handing Connections
    • Thread Class
    • Thread Library
    • Thread Pool
    • Multiprocessing
  • Introduction
  • Getting Started with CGI
  • Configuring CGI
  • Writing python program for CGI applications
  • Creating menus and accessing files
  • Server client program
  • Introduction to arrays and matrices
  • Indexing of array, datatypes
  • Broadcasting of array math, standard deviation
  • Conditional probability, co-relation and covariance
  • Introduction to SciPy and its functions
  • Building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages
  • SciPy with Bayes Theorem
  • How to plot graph and chart with Python
  • Various aspects of line, scatter, bar, histogram, 3D The API of MatPlotLib, subplots. Pandas for data analysis and machine learning
  • Introduction to Python dataframes
  • Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
  • Various data operations like selecting, filtering, sorting, viewing, joining, combining, how to handle missing values, time series analysis, linear regression
  • Introduction to Python dataframes
  • Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
  • Various data operations like selecting, filtering, sorting, viewing, joining, combining
  • How to handle missing values, time series analysis, linear regression
  • What is natural language processing
  • Working with NLP on text data, setting up the environment using Jupyter Notebook
  • Analyzing sentence, the Scikit-Learn machine learning algorithms, bags of words model
  • Extracting feature from text, searching a grid, model training, multiple parameters, building of a pipeline
  • Introduction to web scraping in Python
  • The various web scraping libraries, beautifulsoup, Scrapy Python packages
  • Installing of beautifulsoup, installing Python parser lxml
  • Creating soup object with input HTML
  • Searching of tree, full or partial parsing, output print, searching the tree
  • Introduction to Python for Hadoop
  • The basics of the Hadoop ecosystem, Hadoop common
  • The architecture of MapReduce and HDFS
  • Deploying Python coding for MapReduce jobs on Hadoop framework
  • Introduction to Apache Spark
  • Importance of RDD, the Spark libraries
  • Deploying Spark code with Python
  • Machine learning library of Spark MLlib
  • Deploying Spark MLlib for classification
  • Clustering and regression
  • Working on Live Projects (as applicable)

 

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Python Certification Training
Certification
Python Certificate
Job Overview
Key Features
Training FAQs
What is Python?

Python is a high-level programming language that’s both compiled and interpreted. Python source files (.py) are run through a compiler and turned into bytecode files (.pyc), which are then executed in real-time by an interpreter.

What are the benefits of using Python?
What does a Python Developer do? 
What are the job roles of a Python Developer?
Which tool to find bugs or perform static analysis in Python?
Why learn Python or why it’s so popular?
What skills are preferred to become a proficient Python Developer?
Who are going to be the trainer the training sessions?
What kind of projects are included in this training?
Can I attend a demo session before enrollment?
What is the average salary for python developer in USA?
 What if I miss a class or session?
How do you provide training?
Is the training interactive, how will it help me to learn?
Do we get to work on a project for Training?
How do I get my certificate?
What are the various services that you provide to candidate for job support after training completion?
Do you provide a job placement after the training?
What about the payment process to enroll with Training?
I am an international student in USA looking for placement?
In how much time will I get a job, if I choose your placement service?
What if I have more queries?

More Questions? Request a call!

Reviews
D
Darpan Raj 
Excellent Work

The course structure is properly aligned from scratch to advance level with good projects. Anyone can easily learn and become an expert in python programming by this training program. Thanks a lot.

D
Darpan Kulkarni 
Worth your Time and Money

It's really a nice course. He helped us during the sessions to understand the concepts with real-world examples and not only in the sessions he also helped me in my projects. I am so much impressed by the instructor and support I got from EnhanceLearn team.

V
Vinod Narayan 
Industry Experts!

When I decided to learn python, then I started browsing on the internet and I came on python course EnhanceLearn by one of the good LinkedIn posts. Had a great Learning Experience on Python. I can say without any doubt this is worth for your time, effort and money spent. The instructor was really industry expert.

L
Lata Mehrotra 
Got hands on experienced

The trainers were hands on and provided real time scenario’s. For me learning cutting edge and latest technologies EnhanceLearn is the right place. This is a perfect course for those who want to learn programming and without any previous programming skills.

M
Mukti Gopal 
Good Experience

It was a wonderful experience and learning from EnhanceLearn's trainers. First time I had done any course online and this was a great experience. I'm impressed with both the course content and the way this course was organized.

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