Best Python Course in Noida

Name: Python Certification Training
Rating: 4.623816226901075 (69912 reviews)

The Python certification course is suitable for almost every individual who wanted to start a career in Python even if they dont have any technical background. Programmers, Developers or System admins, Architects, testing engineers, or Mainframe experts, BI developers, or analytics professionals, IT project managers, experienced professionals, any graduate or post-graduate eager to master the Python language can join this Python Classes in Noida. At last, if someone is too lazy wanted to automate all of their daily stuff then you must give a try to Python.
The Python Training in Noida starts from the plain nuts and bolts of every concept so the Trainer would begin from Scratch. In this way, you don't confront any trouble as it's not important to be from an IT foundation to end up being a pro in a specific innovation, all you require is an astuteness to take in and learn from our instructors
With the Python Course in Noida with placement, get trained in the fundamentals of Python, learn about the basic terms and functionalities of words or phrases like values, types, variables, operands, expressions, etc. Also, get trained in basic coding and gain enough practical exposure in Python space.

The best thing is that it is not necessary to be a software engineer to learn Python. Anyone can learn Python with the right zeal to progress in the programming domain. All you need is a graduation degree to start a career in Python and join Python Classes in Noida to learn necessary Python skills.
Let us see some of the major course objectives why anyone should take this course:

The major objective of the Python Course in Delhi NCR with certification is to help you to master fundamental skills and learn how to build sustainable codes.

Learn OOPs concepts and how to automate the daily stuff at work.

Get the practical knowledge of various Python tools and third-party libraries like CPython, Python IDE, and more.

Learn to develop real-time apps based on Python and get the knowledge of command-line arguments too.

Learn to convey your Python web apps most effectively, plan and associate with APIs, social verification, and enhance your skills for the applications execution.

Learn containerizing web apps, social verification, and how to improve the back-end code with frontend Python libraries.

Learn installing Python package, Pandas, Scikit-Learn, SciPy, Matplotlib, NumPy, Lambda Function, Web scraping libraries, etc.

With the best Python Training in Noida, not only master the theory concepts but get well versed with the practical working of the Python tools and IDE.

All in all, learn- backend and frontend coding, the functioning of tools, software, frameworks, etc and all with practical experience.

The noteworthy part is that we prepare our curriculum as per the standards of the world recognized certification in Python such as Microsoft, Azure, etc.

On the completion of Python Training in Noida, our Python team will give you the best interview tips and helps you in building your resume. Our instructors are industry experts who know what organizations are looking for when hiring an expert in the Python space and help you to acquire the best salary packages in the Python space.
The average salary taken by a fresher in Python field is calculated as $74K per annum and it may go higher up to $140K as per your experience, skill set, certification level, nature of the company, job profile, etc. So, it is strongly recommended that you must complete a Python Certification Course first to gain the all the required skills and get hired by top industries worldwide in no time.
Our Python Training Courses are designed in such a way that they will help you to convert learning opportunities into job offers by showcasing your technology skills at the time of the interview. We will give you a complete list of questions that can be asked during an interview and placement assistance too like personality development, resume building, etc.

Let us see some of the amazing career benefits you can enjoy on the completion of Python Classes in Noida.

Improve Skills: You will improve the overall knowledge base and become a proficient programmer in the Python space. Every moment you spend in learning Python is really meaningful.

More job Options: When you are certified, it makes you an above-average candidate among the crowd. Your certification proves that you have hands-on expertise in Python programming and you can perform well in your domain.

Attractive Salaries: A certified Python programmer usually gets a better salary package as compared to other candidates. However, it depends on the Company to Company how they recognize your skills and award you.

As the Best Python Training Institute in Noida, we help you to grow like a superstar in the IT industry and get recognition to get selected among the crowd as a certified professional.

Python is general-purpose programming language and it is generally used to manage data science workloads or we can say it is preferred by data scientists to manage their daily work efficiently. It can be learned by anyone and it witnesses high performance when compared to other traditional programming languages.
There are lots of features to consider in Python and it can be used for web development too. It helps to control the main structure and behavior of the website in the best possible way. When you will go through Python Classes in Noida, you can master all the best practices in Python and learn how to deliver the best business solutions to industries.
Moving ahead, the Python Training in Noida with Placement will help you to master other skills too that include analytical skills, communications, time management capabilities, organization skills, attitude, passion, etc.

Analytical Skills: A good Python programmer should have sharp analytical skills to perform online analytical processing on time.

Communication Skills: A good Python programmer should have excellent verbal or written skills for preparing more robust technical reports.

Time Management Skills: Each software product has a delivery date and Python programmer should strictly follow the timelines for the effective release of code on time.

Organization Skills: A Python programmer should be able to manage workloads effectively with maximum productivity, time management, and organization skills.

Positive Attitude: Every Python programmer should have a positive attitude. An attitude to detailed orientation, willingness to learn new things, grasping new technologies with overwhelming speed, suggest necessary product improvements too. A Python programmer should have a certain degree of independence where you take the ownership of the task allotted and completing the same on time with direct supervision.

Passion: To succeed in any professional job, you should have the right passion for it. A Python programmer should know how to use this tool effectively and he should have the passion to learn things that hold his interest.

With the best Python Training Institute in Noida, you will learn using various Python tools and master all the technical and non-technical skills to gain the required skills in the IT space. So, join the best Python Course Training today and become an expert python programmer that Company is actually looking for in 2021.

Moving ahead, let us see some common job roles and responsibilities in Python you must obey on the completion of Python Course in Noida.

You must know how to build sustainable codes using OOPs concepts and how to automate the daily stuff at work.

You should have the knowledge of various Python tools and third-party libraries like CPython, Python IDE, and more to develop real-time apps based on Python and the knowledge of command-line arguments too.

You should know how to design or develop Python web apps most effectively, plan and associate with APIs, social verification, and enhance your skills for the applications execution.

You should have a sound idea of the containerizing web apps, social verification, and how to improve the back-end code with frontend Python libraries.

You should know how to install Python package, Pandas, Scikit-Learn, SciPy, Matplotlib, NumPy, Lambda Function, Web scraping libraries, etc.

You should know about the backend and frontend coding, the functioning of tools, software, frameworks, etc and all with practical experience.

Being the eminent Best Python Institute in Noida, we help you to manage all these roles and responsibilities with the utmost skills and confidence.

Microsoft, Google, Oracle, Cloud Big Data Technology, American Express, Cisco systems, Bank of America, etc.
There is a plethora of job profiles that require Python skills. To land a job in the Python space, you should join a carefully crafted Python Course in Noida where you can clear your certification and apply for job interviews as well.
Moving ahead on the completion of Python Course in Noida with placement, you must be wondering how to design an impressive that is difficult to reject by anyone. Let us see how to add or highlight your skills in Python resume.
Basic computer skills and knowledge of OOPs concepts are essential for Python programmer resume, so dont forget to share them throughout your record. Start your resume with a professional title and rundown appropriate achievements. It would be great if you can highlight real-world project experience or other achievements.

In the end of the Advanced Python Programming Course, you will get a training certificate as a valid proof of your skills that you can use worldwide to showcase your skills and expertise in the Python space. A lot of people have already joined Croma Campus and earned this training certificate. And it is your turn now!

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Why should you learn Python?

Python is the most popular programing language.

Python is widely used in various business sectors.

Surpassed out java due to its specifications.

An inevitable part of Data Analytics which is growing out.

It is easy to learn & write this programming language.

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Python Certification Training Programs

Python Certification TrainingPrograms

Programming with Python Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.9 (54879)

View Details Course Curriculum

Python is a very powerful high-level, object-oriented programming language. Python is an interpreted language. Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems.

Python has been a favourite option for Data Scientists who use it for building and using Machine Learning Applications and other Scientific Computations.

Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.

In this program you will learn:

Python Training Curriculum

Data Analysis and Visualization using NumPy, Pandas, and MatPlotLib,Seaborn

Get full course syllabus in your inbox

In this program you will learn:

Introduction To Python

Installation and Working with Python

Understanding Python variables

Python basic Operators

Understanding the Python blocks.

In this program you will learn:

Python Keyword and Identifiers

Python Keyword and Identifiers

Python Comments, Multiline Comments.

Python Indentation

Understating the concepts of Operators

Arithmetic
Relational
Logical
Assignment
Membership
Identity

In this program you will learn:

Introduction To Variables:

Variables, expression condition and function

Global and Local Variables in Python

Packing and Unpacking Arguments

Type Casting in Python

Byte objects vs. string in Python

Variable Scope

In this program you will learn:

Python Data Type:

Declaring and using Numeric data types

Using string data type and string operations

Understanding Non-numeric data types

Understanding the concept of Casting and Boolean.

Strings

List

Tuples

Dictionary

Sets

In this program you will learn:

Control Structure & Flow

Statements – if, else, elif

How to use nested IF and Else in Python

Loops

Loops and Control Statements.

Jumping Statements – Break, Continue, pass

Looping techniques in Python

How to use Range function in Loop

Programs for printing Patterns in Python

How to use if and else with Loop

Use of Switch Function in Loop

Elegant way of Python Iteration

Generator in Python

How to use nested Loop in Python

Use If and Else in for and While Loop

Examples of Looping with Break and Continue Statement

How to use IN or NOT IN keyword in Python Loop.

In this program you will learn:

Python Function, Modules and Packages

Python Syntax

Function Call

Return Statement

Arguments in a function – Required, Default, Positional, Variable-length

Write an Empty Function in Python –pass statement.

Lamda/ Anonymous Function

*args and **kwargs

Help function in Python

Scope and Life Time of Variable in Python Function

Nested Loop in Python Function

Recursive Function and Its Advantage and Disadvantage

Organizing python codes using functions

Organizing python projects into modules

Importing own module as well as external modules

Understanding Packages

Random functions in python

Programming using functions, modules & external packages

Map, Filter and Reduce function with Lambda Function

More example of Python Function

In this program you will learn:

Python Date Time and Calendar:

Day, Month, Year, Today, Weekday

IsoWeek day

Date Time

Time, Hour, Minute, Sec, Microsec

Time Delta and UTC

StrfTime, Now

Time stamp and Date Format

Month Calendar

Itermonthdates

Lots of Example on Python Calendar

Lots of Example on Python Calendar

Create 12-month Calendar

Strftime

Strptime

Format Code list of Data, Time and Cal

Locale’s appropriate date and time

In this program you will learn:

List

What is List.

List Creation

List Length

List Append

List Insert

List Remove

List Append & Extend using “+” and Keyword

List Delete

List related Keyword in Python

List Revers

List Sorting

List having Multiple Reference

String Split to create a List

List Indexing

List Slicing

List count and Looping

List Comprehension and Nested Comprehension

In this program you will learn:

Tuple

What is Tuple

Tuple Creation

Accessing Elements in Tuple

Changing a Tuple

Tuple Deletion

Tuple Count

Tuple Index

Tuple Membership

TupleBuilt in Function (Length, Sort)

In this program you will learn:

Dictionary

Dict Creation

Dict Access (Accessing Dict Values)

Dict Get Method

Dict Add or Modify Elements

Dict Copy

Dict From Keys.

Dict Items

Dict Keys (Updating, Removing and Iterating)

Dict Values

Dict Comprehension

Default Dictionaries

Ordered Dictionaries

Looping Dictionaries

Dict useful methods (Pop, Pop Item, Str , Update etc.)

In this program you will learn:

Sets

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Frozen Sets

In this program you will learn:

Strings

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

In this program you will learn:

Python Exception Handling

Python Errors and Built-in-Exceptions

Exception handing Try, Except and Finally

Catching Exceptions in Python

Catching Specific Exception in Python

Raising Exception

Try and Finally

In this program you will learn:

Python File Handling

Opening a File

Python File Modes

Closing File

Writing to a File

Reading from a File

Renaming and Deleting Files in Python

Python Directory and File Management

List Directories and Files

Making New Directory

Changing Directory

In this program you will learn:

Python Database Interaction

SQL Database connection using

Creating and searching tables

Reading and Storing config information on database

Programming using database connections

In this program you will learn:

Contacting user Through Emails Using Python

Installing SMTP Python Module

Sending Email

Reading from file and sending emails to all users

In this program you will learn:

Reading an excel

Working With Excel

Reading an excel file using Python

Writing to an excel sheet using Python

Python| Reading an excel file

Python | Writing an excel file

Adjusting Rows and Column using Python

ArithmeticOperation in Excel file.

Play with Workbook, Sheets and Cells in Excel using Python

Creating and Removing Sheets

Formatting the Excel File Data

More example of Python Function

In this program you will learn:

Complete Understanding of OS Module of Python

Check Dirs. (exist or not)

How to split path and extension

How to get user profile detail

Get the path of Desktop, Documents, Downloads etc.

Handle the File System Organization using OS

How to get any files and folder’s details using OS

Get full course syllabus in your inbox

In this program you will learn:

NumPy

Introduction to NumPy: Numerical Python

Importing NumPy and Its Properties

NumPy Arrays

Creating an Array from a CSV

Operations an Array from aCSV

Operations with NumPy Arrays

Two-Dimensional Array

Selecting Elements from 1-D Array

Selecting Elements from 2-D Array

Logical Operation with Array

In this program you will learn:

Pandas

Working With Excel using Pandas

Reading an excel & CSV file using Pandas

Writing to an excel sheet using Pandas

Adjusting Rows and Column using Pandas

Arithmetic Operation in Excel file using Pandas.

Play with Workbook, Sheets and Cells in Excel using Pandas

Creating and Removing Sheets using Pandas

Formatting the Excel File Data using Pandas

In this program you will learn:

MatPlotLib

Bar Chart using Python MatPlotLib

Column Chart using Python MatPlotLib

Pie Chart using Python MatPlotLib

Area Chart using Python MatPlotLib

Scatter Plot Chart using Python MatPlotLib

Export the Chart as Image

Create Charts as Image

Other Useful Properties of Charts.

Plotting Different Charts, Labels, and Labels Alignment etc.

In this program you will learn:

Introduction to Seaborn

Introduction to Seaborn

Making a scatter plot with lists

Making a count plot with a list

Using Pandas with seaborn

In this program you will learn:

Python Object Oriented Programming—Oops Concepts

Concept of Class, Object and Instances

Constructor, Class attributes and Destructors

Real time use of class in live projects

Inheritance, Overlapping and Overloading operators

Adding and retrieving dynamic attributes of classes

Programming using Oops support

Get full course syllabus in your inbox

+ More Lessons

Python Django Full Stack Development Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.8 (18647)

View Details Course Curriculum

Python is a very powerful high-level, object-oriented programming language. Python is an interpreted language. Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems.

Using third-party tools, such as Py2exe or Pyinstaller Python code can be packaged into stand-alone executable programs. Django is an extremely widely used framework, and because it’s open source. Django is a web framework which written in python & follows the MVC architectural pattern.

It is maintained by the Django software foundation, an independent organization. There are many other frameworks like Pyramid, web2py, Flask etc. which support developers in the design & maintenance of complex applications. Pyjamas & Iron Python can be used to develop the client-side of ajax-based applications.

In this program you will learn:

HTML

HTML 5

CSS 2.0

CSS 3.0

JavaScript

JQuery

Bootstrap Framework Latest Version (HTML, CSS, and JS Library)

Web Hosting & SEO Basics

Python Training Curriculum

Data Analysis and Visualization using NumPy, Pandas, and MatPlotLib, Seaborn

Placement Guide

Get full course syllabus in your inbox

HTML

What is HTML

What is a Web Browser

What are Versions of HTML

What can you Do with HTML

HTML Development Environments

Writing Code with a Text Editor

Review of HTML Elements

Rules of Syntax

Making your Code Readable

Building a Document

Using Colors

Adding Color to your Page

Using Headings

Using Paragraphs

Aligning Block-Level Elements

Inserting Spaces and Line Breaks

Displaying Preformatted Text

Formatting with Inline Elements

Controlling Fonts

Introducing List Elements

Creating Unordered Lists

Creating Ordered Lists

Nesting Lists

What is an HTML Table

Building a Table

Cell Padding and Cell Spacing

Controlling Table and Cell Width

Aligning a Table on the Page

Aligning Tables and Text

Aligning Table Data

Spanning Columns and Rows

Creating a Hyperlink

Understanding and Using URLs

Linking to a Web Document

Linking to a Local Document

Linking to Anchors

Opening a New Browser Window

Image Formats

Inserting Inline Images

Aligning Images

Using Images to Anchor Links

Sizing Images

Using Transparent Images

Using GIF Animation

Forms and Controls

Forms and Form Elements

Form Actions, Form Methods, Form Design

Get full course syllabus in your inbox

Introduction

Laying out a page with HTML5

Page Structure

New HTML5 Strutural Tags

Page Simplification

HTML 5 - How we got here

New Features of HTML5

The HTML5 Semantic Element

Current State of Browser Support

SECTIONS AND ARTICLES

The section Tag

The article Tag

The header Tag

The Footer Tag

HTML5 AUDIO AND VIDEO

Supported Media Types

The audio Element

The video Element

HTML5 FORMS

New Input Types

HTML5 NEW FORM ATTRIBUTES

autocomplete

novalidate

HTML5 NEW FORM FIELD ATTRIBUTES

required

placeholder

autofocus

autocomplete

form

pattern

Get full course syllabus in your inbox

Introduction of CSS

CSS Syntax

CSS Comments

CSS Type

Inline

Internal

External

CSS Selector

Class

Attribute

Grouping

Universal

CSS Color

RGB Value

Hex Value

Color Name

Background

background-color

background-repeat

background-attachement

background position

background-size

background-image

CSS Margin

Margin-top

Margin-bottom

Margin-left

Margin-Right

CSS Padding

Padding -top

Padding -bottom

Padding -left

Padding –Right

Outline

Outline-Style

Outline-color

Outline Width

Outline-Offset

Outline Shorthand Property

CSS Height and Width

CSS Display properties

CSS Position Properties

CSS Overflow

CSS Float and Clear

Pseudo Class and Element

Get full course syllabus in your inbox

Introduction to CSS 3

Border

border-radius

CSS Shadows

Text-shadow

Box-shadow

Transitions

transition

transition - delay

transition - duration

transition - property

2D Transforms

transform

matrix ()

translate (x,y)

scale(x,y)

rotate(angle)

Skew (x - angle, y-angle)

Animations

@keyframes

animation

animation-direction

animation-duration

animation-name

Selectors

CSS combinations

Pseudo Elements

Gradients

Linear Gradients

Radial Gradients

User Interface

resize

box-sizing

outline-offset

CSS Filters

Blur

Opacity

Media Query

What is Responsive Web Design

Intro to the Viewport

The Viewport Tag

Media Queries

Tablet Styles

Mobile Styles

Making a Mobile Drop-down Menu

Web Fonts

@font-face

font- family

src

font-stretch

font-Style

font-weight

Flexbox

flex - grow

flex - shrink

flex - basis

flex

flex - wrap

flex - direction

flex - flow

justify - content

align-items

order

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+ More Lessons

Django Framework Certification Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.9 (56150)

View Details Course Curriculum

Croma Campus's Django course helps you gain expertise in Django REST framework, Django Models, Django AJAX, Django jQuery etc. You'll master Django web framework while working on real-time use cases and receive Django certification at the end of the course.

In this program you will learn:

Django Web Framework

Getting Started with Django

Create an Application

Django - URL Mapping

Django Template Language (DTL)

Django – Models

Django – Sending E-mails

Django – Form Processing/le handling/cooking handling

Django Admin

Django API (Application Program Interface)

Static les

Placement Guide

Get full course syllabus in your inbox

Django Web Framework

What is a Framework

Introduction to Django

Django – Design Philosophies

History of Django

Why Django and Features

Environment setup

Web Server

MVC Pattern

MVC Architecture vs MVT Architecture

Django MVC – MVT Pattern

Get full course syllabus in your inbox

Getting Started with Django

Creating the rst Project

Integrating the Project to sublime text

The Project Structure

Running the server

Solving the issues and Migrations

Database Setup

Setting Up Your Project.

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Create an Application

What Django Follows

Structure of Django framework

Model Layer

What are models

Model elds

Query sets

Django – Admin Interface

Starting the Admin Interface

Migrations

Views Layer

Simple View

Basic view (displaying hello world)

Functional views, class based views

Get full course syllabus in your inbox

Django - URL Mapping

Organizing Your URLs

Role of URLs in Django

Working URLs

Forms

Sending Parameters to Views

Templates layer

The Render Function

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+ More Lessons

Python for Data Scientist Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
Self-Paced/ Classroom
Certification Pass Guaranteed

4.8 (63497)

View Details Course Curriculum

Python has been a favourite option for Data Scientists who use it for building and using Machine Learning Applications and other Scientific Computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.

In this program you will learn:

Python Training

Data Analysis and Visualization using Pandas.

Data Analysis and Visualization using NumPy and MatPlotLib

Introduction to Data Visualization with Seaborn

Get full course syllabus in your inbox

Introduction To Python

Installation and Working with Python

Understanding Python variables

Python basic Operators

Understanding the Python blocks.

Python Keyword and Identiers

Python Keyword and Identiers

Python Comments, Multiline Comments.

Python Indentation

Understating the concepts of Operators

Arithmetic

Relational

Logical

Assignment

Membership

Identity

Introduction To Variables

Variables, expression condition and function

Global and Local Variables in Python

Packing and Unpacking Arguments

Type Casting in Python

Byte objects vs. string in Python

Variable Scope

Python Data Type

Declaring and using Numeric data types

Using string data type and string operations

Understanding Non-numeric data types

Understanding the concept of Casting and Boolean.

Strings

List

Tuples

Dictionary

Sets

Control Structure & Flow

Statements – if, else, elif

How to use nested IF and Else in Python

Loops

Loops and Control Statements.

Jumping Statements – Break, Continue, pass

Looping techniques in Python

How to use Range function in Loop

Programs for printing Patterns in Python

How to use if and else with Loop

Use of Switch Function in Loop

Elegant way of Python Iteration

Generator in Python

How to use nested Loop in Python

Use If and Else in for and While Loop

Examples of Looping with Break and Continue Statement

How to use IN or NOT IN keyword in Python Loop.

Python Function, Modules and Packages

Python Syntax

Function Call

Return Statement

Arguments in a function – Required, Default, Positional, Variable-length

Write an Empty Function in Python –pass statement.

Lamda/ Anonymous Function

*args and **kwargs

Help function in Python

Scope and Life Time of Variable in Python Function

Nested Loop in Python Function

Recursive Function and Its Advantage and Disadvantage

Organizing python codes using functions

Organizing python projects into modules

Importing own module as well as external modules

Understanding Packages

Random functions in python

Programming using functions, modules & external packages

Map, Filter and Reduce function with Lambda Function

More example of Python Function

Python Date Time and Calendar

Day, Month, Year, Today, Weekday

IsoWeek day

Date Time

Time, Hour, Minute, Sec, Microsec

Time Delta and UTC

StrfTime, Now

Time stamp and Date Format

Month Calendar

Itermonthdates

Lots of Example on Python Calendar

Create 12-month Calendar

Strftime

Strptime

Format Code list of Data, Time and Cal

Locale’s appropriate date and time

List

What is List.

List Creation

List Length

List Append

List Insert

List Remove

List Append & Extend using “+” and Keyword

List Delete

List related Keyword in Python

List Revers

List Sorting

List having Multiple Reference

String Split to create a List

List Indexing

List Slicing

List count and Looping

List Comprehension and Nested Comprehension

Tuple

What is Tuple

Tuple Creation

Accessing Elements in Tuple

Changing a Tuple

Tuple Deletion

Tuple Count

Tuple Index

Tuple Membership

TupleBuilt in Function (Length, Sort)

Dictionary

Dict Creation

Dict Access (Accessing Dict Values)

Dict Get Method

Dict Add or Modify Elements

Dict Copy

Dict From Keys.

Dict Items

Dict Keys (Updating, Removing and Iterating)

Dict Values

Dict Comprehension

Default Dictionaries

Ordered Dictionaries

Looping Dictionaries

Dict useful methods (Pop, Pop Item, Str , Update etc.)

Sets

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Frozen Sets

Strings

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Python Exception Handling

Python Errors and Built-in-Exceptions

Exception handing Try, Except and Finally

Catching Exceptions in Python

Catching Specic Exception in Python

Raising Exception

Try and Finally

Python File Handling

Opening a File

Python File Modes

Closing File

Writing to a File

Reading from a File

Renaming and Deleting Files in Python

Python Directory and File Management

List Directories and Files

Making New Directory

Changing Directory

Python Database Interaction

SQL Database connection using

Creating and searching tables

Reading and Storing cong information on database

Programming using database connections

Contacting user Through Emails Using Python

Installing SMTP Python Module

Sending Email

Reading from le and sending emails to all users

Reading an excel

Working With Excel

Reading an excel le using Python

Writing to an excel sheet using Python

Python| Reading an excel le

Python | Writing an excel le

Adjusting Rows and Column using Python

ArithmeticOperation in Excel le.

Play with Workbook, Sheets and Cells in Excel using Python

Creating and Removing Sheets

Formatting the Excel File Data

More example of Python Function

Complete Understanding of OS Module of Python

Check Dirs. (exist or not)

How to split path and extension

How to get user prole detail

Get the path of Desktop, Documents, Downloads etc.

Handle the File System Organization using OS

How to get any les and folder’s details using OS

Get full course syllabus in your inbox

Statistics

Categorical Data

Numerical Data

Mean

Median

Mode

Outliers

Range

Interquartile range

Correlation

Standard Deviation

Variance

Box plot

Pandas

Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les

How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function

Using the Excel File class to read multiple sheets More Mapping, Filling

Nonvalue’s

Exploring the Data Plotting, Correlations, and Histograms

Getting statistical information about the data Analysis Concepts, Handle the None Values

Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc

Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows

Applying formulas on the columns Basic Grouping, Concepts of Aggre

gate Function

Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)

Under sting the Properties of Pivot Table in Pandas Advanced Reading

CSVs/HTML, Binning, Categorical Data

Exporting the results to Excel Joins:

Python | Pandas Data Frame Inner Join

Under sting the properties of Data Frame Left Join (Left Outer Join)

Indexing and Selecting Data with Pandas Right Join (Right Outer Join)

Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)

Pandas | Find Missing Data and Fill and Drop NA Appending DataFrame and Data

Pandas | How to Group Data How to apply Lambda / Function on Data

Frame

Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)

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NumPy

Introduction to NumPy: Numerical Python

Importing NumPy and Its Properties

NumPy Arrays

Creating an Array from a CSV

Operations an Array from a CSV

Operations with NumPy Arrays

Two-Dimensional Array

Selecting Elements from 1-D Array

Selecting Elements from 2-D Array

Logical Operation with Arrays

Indexing NumPy elements using conditionals

NumPy’s Mean and Axis

NumPy’s Mode, Median and Sum Function

NumPy’s Sort Function and More

MatPlotLib

Bar Chart using Python MatPlotLib

Column Chart using Python MatPlotLib

Pie Chart using Python MatPlotLib

Area Chart using Python MatPlotLib

Scatter Plot Chart using Python MatPlotLib

Play with Charts Properties Using MatPlotLib

Export the Chart as Image

Understanding plt. subplots () notation

Legend Alignment of Chart using MatPlotLib

Create Charts as Image

Other Useful Properties of Charts.

Complete Understanding of Histograms

Plotting Different Charts, Labels, and Labels Alignment etc.

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Introduction to Seaborn

Introduction to Seaborn

Making a scatter plot with lists

Making a count plot with a list

Using Pandas with seaborn

Tidy vs Untidy data

Making a count plot with a Dataframe

Adding a third variable with hue

Hue and scattera plots

Hue and count plots

Visualizing Two Quantitative Variables

Introduction to relational plots and subplots

Creating subplots with col and row

Customizing scatters plots

Changing the size of scatter plot points

Changing the style of scatter plot points

Introduction to line plots

Interpreting line plots

Visualizing standard deviation with line plots

Plotting subgroups in line plots

Visualizing a Categorical and a Quantitative Variable

Current plots and bar plots

Count plots

Bar plot with percentages

Customizing bar plots

Box plots

Create and interpret a box plot

Omitting outliers

Adjusting the whisk

Point plots

Customizing points plots

Point plot with subgroups

Customizing Seaborn Plots

Changing plot style and colour

Changing style and palette

Changing the scale

Using a custom palette

Adding titles and labels: Part 1

Face Grids vs. Axes Subplots

Adding a title to a face Grid object

Adding title and labels: Part 2

Adding a title and axis labels

Rotating x-tics labels

Putting it all together

Box plot with subgroups

Bar plot with subgroups and subplots

Well done! What’s next

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+ More Lessons

Machine Learning with Python Training

30k LearnersWeekend/WeekdayLive Class

2 Live Project
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View Details Course Curriculum

Machine learning is important because it gives enterprises a view of trends in ustomer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations

In this program you will learn:

Python Training Curriculum

Data Analysis and Visualization using Pandas.

Data Analysis and Visualization using NumPy and MatPlotLib

Introduction to Data Visualization with Seaborn

Machine Learning

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Introduction To Python

Installation and Working with Python

Understanding Python variables

Python basic Operators

Understanding the Python blocks.

Python Keyword and Identiers

Python Keyword and Identiers

Python Comments, Multiline Comments.

Python Indentation

Understating the concepts of Operators

Arithmetic

Relational

Logical

Assignment

Membership

Identity

Introduction To Variables

Variables, expression condition and function

Global and Local Variables in Python

Packing and Unpacking Arguments

Type Casting in Python

Byte objects vs. string in Python

Variable Scope

Python Data Type

Declaring and using Numeric data types

Using string data type and string operations

Understanding Non-numeric data types

Understanding the concept of Casting and Boolean.

Strings

List

Tuples

Dictionary

Sets

Control Structure & Flow

Statements – if, else, elif

How to use nested IF and Else in Python

Loops

Loops and Control Statements.

Jumping Statements – Break, Continue, pass

Looping techniques in Python

How to use Range function in Loop

Programs for printing Patterns in Python

How to use if and else with Loop

Use of Switch Function in Loop

Elegant way of Python Iteration

Generator in Python

How to use nested Loop in Python

Use If and Else in for and While Loop

Examples of Looping with Break and Continue Statement

How to use IN or NOT IN keyword in Python Loop.

Python Function, Modules and Packages

Python Syntax

Function Call

Return Statement

Arguments in a function – Required, Default, Positional, Variable-length

Write an Empty Function in Python –pass statement.

Lamda/ Anonymous Function

*args and **kwargs

Help function in Python

Scope and Life Time of Variable in Python Function

Nested Loop in Python Function

Recursive Function and Its Advantage and Disadvantage

Organizing python codes using functions

Organizing python projects into modules

Importing own module as well as external modules

Understanding Packages

Random functions in python

Programming using functions, modules & external packages

Map, Filter and Reduce function with Lambda Function

More example of Python Function

Python Date Time and Calendar

Day, Month, Year, Today, Weekday

IsoWeek day

Date Time

Time, Hour, Minute, Sec, Microsec

Time Delta and UTC

StrfTime, Now

Time stamp and Date Format

Month Calendar

Itermonthdates

Lots of Example on Python Calendar

Create 12-month Calendar

Strftime

Strptime

Format Code list of Data, Time and Cal

Locale’s appropriate date and time

List

What is List.

List Creation

List Length

List Append

List Insert

List Remove

List Append & Extend using “+” and Keyword

List Delete

List related Keyword in Python

List Revers

List Sorting

List having Multiple Reference

String Split to create a List

List Indexing

List Slicing

List count and Looping

List Comprehension and Nested Comprehension

Tuple

What is Tuple

Tuple Creation

Accessing Elements in Tuple

Changing a Tuple

Tuple Deletion

Tuple Count

Tuple Index

Tuple Membership

TupleBuilt in Function (Length, Sort)

Dictionary

Dict Creation

Dict Access (Accessing Dict Values)

Dict Get Method

Dict Add or Modify Elements

Dict Copy

Dict From Keys.

Dict Items

Dict Keys (Updating, Removing and Iterating)

Dict Values

Dict Comprehension

Default Dictionaries

Ordered Dictionaries

Looping Dictionaries

Dict useful methods (Pop, Pop Item, Str , Update etc.)

Sets

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Frozen Sets

Strings

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Python Exception Handling

Python Errors and Built-in-Exceptions

Exception handing Try, Except and Finally

Catching Exceptions in Python

Catching Specic Exception in Python

Raising Exception

Try and Finally

Python File Handling

Opening a File

Python File Modes

Closing File

Writing to a File

Reading from a File

Renaming and Deleting Files in Python

Python Directory and File Management

List Directories and Files

Making New Directory

Changing Directory

Python Database Interaction

SQL Database connection using

Creating and searching tables

Reading and Storing cong information on database

Programming using database connections

Contacting user Through Emails Using Python

Installing SMTP Python Module

Sending Email

Reading from le and sending emails to all users

Reading an excel

Working With Excel

Reading an excel le using Python

Writing to an excel sheet using Python

Python| Reading an excel le

Python | Writing an excel le

Adjusting Rows and Column using Python

ArithmeticOperation in Excel le.

Play with Workbook, Sheets and Cells in Excel using Python

Creating and Removing Sheets

Formatting the Excel File Data

More example of Python Function

Complete Understanding of OS Module of Python

Check Dirs. (exist or not)

How to split path and extension

How to get user prole detail

Get the path of Desktop, Documents, Downloads etc.

Handle the File System Organization using OS

How to get any les and folder’s details using OS

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Statistics

Categorical Data

Numerical Data

Mean

Median

Mode

Outliers

Range

Interquartile range

Correlation

Standard Deviation

Variance

Box plot

Pandas

Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les

How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function

Using the Excel File class to read multiple sheets More Mapping, Filling

Nonvalue’s

Exploring the Data Plotting, Correlations, and Histograms

Getting statistical information about the data Analysis Concepts, Handle the None Values

Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc

Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows

Applying formulas on the columns Basic Grouping, Concepts of Aggre

gate Function

Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)

Under sting the Properties of Pivot Table in Pandas Advanced Reading

CSVs/HTML, Binning, Categorical Data

Exporting the results to Excel Joins:

Python | Pandas Data Frame Inner Join

Under sting the properties of Data Frame Left Join (Left Outer Join)

Indexing and Selecting Data with Pandas Right Join (Right Outer Join)

Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)

Pandas | Find Missing Data and Fill and Drop NA Appending DataFrame and Data

Pandas | How to Group Data How to apply Lambda / Function on Data

Frame

Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)

Get full course syllabus in your inbox

NumPy

Introduction to NumPy: Numerical Python

Importing NumPy and Its Properties

NumPy Arrays

Creating an Array from a CSV

Operations an Array from a CSV

Operations with NumPy Arrays

Two-Dimensional Array

Selecting Elements from 1-D Array

Selecting Elements from 2-D Array

Logical Operation with Arrays

Indexing NumPy elements using conditionals

NumPy’s Mean and Axis

NumPy’s Mode, Median and Sum Function

NumPy’s Sort Function and More

MatPlotLib

Bar Chart using Python MatPlotLib

Column Chart using Python MatPlotLib

Pie Chart using Python MatPlotLib

Area Chart using Python MatPlotLib

Scatter Plot Chart using Python MatPlotLib

Play with Charts Properties Using MatPlotLib

Export the Chart as Image

Understanding plt. subplots () notation

Legend Alignment of Chart using MatPlotLib

Create Charts as Image

Other Useful Properties of Charts.

Complete Understanding of Histograms

Plotting Different Charts, Labels, and Labels Alignment etc.

Get full course syllabus in your inbox

Introduction to Seaborn

Introduction to Seaborn

Making a scatter plot with lists

Making a count plot with a list

Using Pandas with seaborn

Tidy vs Untidy data

Making a count plot with a Dataframe

Adding a third variable with hue

Hue and scattera plots

Hue and count plots

Visualizing Two Quantitative Variables

Introduction to relational plots and subplots

Creating subplots with col and row

Customizing scatters plots

Changing the size of scatter plot points

Changing the style of scatter plot points

Introduction to line plots

Interpreting line plots

Visualizing standard deviation with line plots

Plotting subgroups in line plots

Visualizing a Categorical and a Quantitative Variable

Current plots and bar plots

Count plots

Bar plot with percentages

Customizing bar plots

Box plots

Create and interpret a box plot

Omitting outliers

Adjusting the whisk

Point plots

Customizing points plots

Point plot with subgroups

Customizing Seaborn Plots

Changing plot style and colour

Changing style and palette

Changing the scale

Using a custom palette

Adding titles and labels: Part 1

Face Grids vs. Axes Subplots

Adding a title to a face Grid object

Adding title and labels: Part 2

Adding a title and axis labels

Rotating x-tics labels

Putting it all together

Box plot with subgroups

Bar plot with subgroups and subplots

Well done! What’s next

Get full course syllabus in your inbox

+ More Lessons

Need Customized curriculum?

Mock Interviews

Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.How Croma Campus Placement Process Works?

Projects

Validate your skills and knowledge by working on industry-based projects that includes significant real-time use cases.Gain hands-on expertize in Top IT skills and become industry-ready after completing our project works and assessments.Our projects are perfectly aligned with the modules given in the curriculum and they are picked up based on latest industry standards.Add some meaningful project works in your resume, get noticed by top industries and start earning huge salary lumps right away.

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FAQ's

Croma Campus is one of the excellent Python Institute in Noida that offers hands-on practical knowledge, practical implementation on live projects and will ensure the job with the help of Python Training Courses, Croma Campus provides Python Training in Noida by industrial experts, they have 8+ years working experience in top organization.

Croma Campus associated with top organizations like HCL, Wipro, Dell, BirlaSoft, Tech Mahindra, TCS, IBM, etc. make us capable to place our students in top MNCs across the globe. Our training curriculum is approved by our placement partners.

Croma Campus in Noida mentored more than 3000+ candidates with Python Certification Training in Noida at a very reasonable fee. The course curriculum is customized as per the requirement of candidates/corporates. You will get study material in the form of E-Books, Online Videos, Certification Handbooks, Certification and 500 Interview Questions along with Project Source material.

Croma Campus is a well-equipped Python Coaching in Noida. Candidates will implement the following concepts under the Python: - Linear Regression with One Variable, Linear Algebra Review, Linear Regression with Multiple Variables, Octave/Matlab Tutorial, Logistic Regression, Regularization, Neural Networks: Representation, Neural Networks: Learning, Python System Design, Support Vector Machines on real-time projects along with Python Placement Training modules like aptitude test preparation etc.

For details information & FREE demo class, call us at 120-4155255, +91-9711526942 or write to us info@cromacampus.com
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