Python Training

(3) 3 Ratings

Course Schedule

30

JUL

Mon - Sat

07:30 PM - 10:00 PM ( IST )

06

AUG

Mon - Fri

11:00 AM - 02:00 PM ( IST )

11

AUG

Sat - Sun

05:30 AM - 06:30 AM ( IST )


Total Learners

1500 Learners


LMS Access

365 days

Course duration

30 days


Support

24/7 support

Can't find convenient schedule?

Our experts can help you find a batch that meets your needs

The Instructor for this course is from one of the Big5 Companies in the world.

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I agree to the Training T&C

Modes of Training

Corporate Training

Live, Classroom Or Self Paced Training

Online Classroom

Attend our Instructor Led Online Virtual Classroom

Self Paced Training

Comprehensive Recorded Videos by Experts to learn at your own pace

Course Features

Live Instructor-led Classes

This isn't canned learning. Its dynamic, its interactive, its effective

Expert Educators

Only the best or they're out. We are constantly evaluating our trainers

24&7 Support

We never sleep. Need something answered at 3 am? No Problem

Flexible Schedule

You don't learn as per our calendar. We work according to yours

☰ Details

Course Curriculum

Setting up PYTHON programming environment.

  • Installing and configuring PYTHON environment.
  • Using Python Interpreter.
  • Invoking the Python interpreter.
  • Python as calculator.

Sequences and File Operations

  • Python files I/O Functions
  • Numbers
  • Strings and related operations
  • Tuples and related operations
  • Lists and related operations
  • Dictionaries and related operations
  • Sets and related operations.

Deep Dive – Functions, OOPs, Modules, Errors and Exceptions

  • Functions
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values
  • Lambda Functions
  • Object-Oriented Concepts
  • Standard Libraries
  • Modules Used in Python
  • The Import Statements
  • Module Search Path
  • Package Installation Ways
  • Errors and Exception Handling
  • Handling Multiple Exceptions.

Introduction to Machine Learning with Python

  • Python Revision (numpy, Pandas, scikit learn, matplotlib)
  • What is Machine Learning?
  • Machine Learning Use-Cases
  • Machine Learning Process Flow
  • Machine Learning Categories
  • Linear regression
  • Gradient descent

Introduction to NumPy, Pandas and Matplotlib

  • NumPy - arrays
  • Operations on arrays
  • Indexing slicing and iterating
  • Reading and writing arrays on files
  • Pandas - data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas
  • matplotlib library
  • Grids, axes, plots
  • Markers, colours, fonts and styling
  • Types of plots - bar graphs, pie charts, histograms
  • Contour plots

Data Manipulation

  • Basic Functionalities of a data object
  • Merging of Data objects
  • Concatenation of data objects
  • Types of Joins on data objects
  • Exploring a Dataset
  • Analysing a dataset


Errors and Exception Handling

  • Dealing with syntax errors
  • Exceptions
  • Handling exceptions with try/except
  • Cleaning up with finally 

An Introduction to Python Classes

  • About o-o programming
  • Defining classes
  • Constructors
  • Instance methods
  • Instance data
  • Class methods and data
  • Destructors 

Regular Expressions

  • RE Objects
  • Pattern matching
  • Parsing data
  • Sub expressions
  • Complex substitutions
  • RE tips and tricks 

Using Modules

  • What is a module?
  • The import statement
  • Function aliases
  • Packages 

Course Description

What will you learn from this course?

  • Grasps data in advanced analytics and information image victimization Python-pandas 
  • Implementation of Basics and Advanced Python ideas.
  • Leverages skills in OOP, Expression, information varieties and process.
  • Enhances data in Package Installations and XLS, Json Parsing and internet Scraping.
  • Enhances skills in implementation of python core objects and file handling operations.
  • Knowledge in usage of Python for writing and deploying Pig, UDF and Hive UDF.
  • Real Time Industry-Based comes on Python

Why should we learn Python Course?

Python is extremely widespread object homeward language that is straightforward to find out and straightforward to deploy further. Python will simply run on varied systems like Linux, windows, and Mac. when the completion of Python training, aspirants will simply work on massive information Hadoop setting for terribly high earnings package vary. Python is complete with Language ability and documentation system with ranked module system to spice up revenues.

What are the Prerequisites of this course?

The pre-requisites for Python course include the basic understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. 

FAQ

Do you have self paced training?

Yes, we offer self paced training

How do you provide training?

We offer three different modes of training. Instructor Led Live Training, Self Paced Training and Corporate Training

Do you offer any discounts?

Yes we offer discounts for group of 3 plus people.

Can I choose timings that suits my schedule?

Yes we are the only company where we work with students and offer flexible timings which fits your schedule

Who are the Instructors?

All our instructors are from MNC companies who have real time experience of more than 10 years.

Can I attend a demo session before joining?

Yes we offer a free demo session with the instructors. The trainer will answer all your queries and share the course agenda.

Course Reviews

John

All the concepts was covered with no compromise. Instructor was very well determined and Focused with Clear Examples. This reduces my effort of reading the books and can start working immediately in the ongoing projects. Thank you.

Avinash

Really a good place to learn Python technology Clear understanding of concepts and really clear explanation of everything about that technology special thanks to my trainer. Being a real time experience guy he helped me a lot with real time concepts.

Sruthi

This is a good course for beginners as well as experts with all the basic concepts explained clearly. It's a good starter to move to python programming for programmers as well as non- programmers