Python Programming Course in Delhi

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

The Python Training course has been designed with the intention to make you an amazing Python programmer and a skilled Python expert to manage tough business solutions. You will learn about Python libraries in detail and how to use them to design powerful back-end and front-end codes. Also, you will gain hands-on expertise in using different Python concepts, Python patterns, Python development practices, and programming procedures.
The Python Training in Delhi will give you a sound idea of how to build, execute, or deploy Python web applications as per Company requirements. Also, you will get a perfect learning curve in terms of theory or practical concepts.
You will master basic concepts at the initial level like OOPs programming, Python basics, etc. Towards the end of Python Course in Delhi, you can practice practical concepts that include application development in Python, Python libraries, containerized web applications, and many more similar concepts.
Once you have learned all the fundamental concepts, the next step is to move towards advanced Python learning and understand career opportunities, Salaries, Roles, and Responsibilities in the Python space.

There is no need for a technical background to start a career in Python but anyone with the right zeal and passion can join the Best Python Coaching in Delhi. All you need a graduation degree and basic education to join the training program. Let us see some of the core objectives of the Python placement program in India.

The main objective of this training course is to help you to learn all fundamental skills in Python that are considered important to start a career in the Python space.

Know about OOPs in Advanced Python Programming Course and how it can help you to manage daily technical stuff.

Also, get the practical knowledge of Python concepts and know about third-party libraries like Python IDE, CPython, and more similar concepts.

Know how to build and deploy real-time web apps using Python and gain the skills to use CMD line prompt too.

You should know how to convey Python apps effectively and get the right skills to execute an application as well.

Know about containerized apps, social verification process, back-end development, and front-end coding, etc.

Learn to install Python packages, Pandas, Scikit-Learn, SciPy, Matplotlib, NumPy, Lambda Function, Web scraping libraries, etc.

The Python Classes in Delhi not only gives you theoretical skills but makes you proficient at the practical level too.

Being the top Python Training institute in Delhi, we also prepare for the world recognized certification in Python such as Microsoft, Azure, etc and gain valid credentials that can be used worldwide.

As a fresher, you are expected to earn around $74 K per annum. And the salary may go up to $160 or even HIGH as you grow in your career. In the beginning, you are responsible to manage basic things like codes, easy scripts, simple apps, etc. If you are completely new to the IT industry, it is recommended to start your journey with some leading Python institute in Delhi where you can learn all the basics and get the right career guidance too.
Python is used worldwide and this is the reason why it is warmly adopted by industries across the globe. Further, the platform witnesses plenty of job options on the completion of the Python Language Course in Delhi, and you can fly really HIGH and increase your overall knowledge base in the Python space.

You must be excited to know about career growth after the Python Certification Course. Let us some interesting facts for the Python Classes in Delhi.

It helps to improve your overall knowledge base and makes you more skilled and competitive when compared to other people in the same industry.

You can apply for more jobs with HUGE salary packages and make yourself stand out from the crowd.

You can apply for the global certification exam and claim for good salaries as a certified professional.

As the top Python training institute in Delhi, 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 following OOPs concepts strongly. It helps to manage the complex data and it is usually preferred by data scientists to complete their routine work. The amazing part of the discussion is that anyone can learn Python and it is an easy programming language when compared to any traditional programming language.
Python has plenty of benefits and features to consider. If you want to go into web development then Python can help with excellent back-end and front-end development using Python libraries. Also, it can be used to manage the main structure of the website.
With the Python Course in Noida, you are free to start your career in the web development space or design robust apps as per company requirements. Here are a few facts about the Python Programming Course in Delhi and why the Python certification course is taken so important for job seekers.

Python is one of the top programming languages to learn today with amazing career opportunities and a sustainable future scope.

There is a 47% increase in demand for Python specialists

The average salary of a Python programmer at the entry-level is $74K per annum which is quite attractive when compared to other programming languages.

More than 43K Python jobs were posted last year in the USA alone.

Now, you must have a sound idea of the popularity of the platform and why it is important to consider the Python Classes in Delhi. You become flexible to apply for various job options worldwide. Make yourself a more competent resource and get hired quickly with the right skills and approach. When you are associate with the most reputed Best Python Training institute in Delhi, you will get the best trainers and the latest course content to give a new edge to your career.
Python experts with a minimum of 2-3 years of industry experience are going to train you. All the mentors that we hire are the best experts in their respective domains. Before we make them your mentors, we make them our person of the investigation first.
We check their credentials, academic qualifications, certifications, and only when they are hired. They go through our strictly channelled selection criteria because with us there are no mistakes or shortcomings that are allowed with us.

With the detailed Python Language Course in Delhi, you would become ready to complete the following roles and responsibilities in Python.

You should have all the fundamental skills in Python that are considered important to start a career in the Python space.

You should know about OOPs programming in Python and how it can help you to manage daily technical stuff.

You should have the practical knowledge of Python concepts and know about third-party libraries like Python IDE, CPython, and more similar concepts.

You must know how to build and deploy real-time web apps using Python and gain the skills to use CMD line prompt too.

You should know how to convey Python apps effectively and get the right skills to execute an application as well.

You must have a sound idea of containerized apps, social verification process, back-end development, and front-end coding, etc.

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

With the Best Python Training institute in Delhi, you not only become efficient to obey these job duties but gain credentials that are valid globally.

Microsoft, Google, Oracle, Cloud Big Data Technology, American Express, Cisco Systems, Bank of America, etc.

There are endless job options for skilled people and on the completion of the Python Course, you may clear your certification exam and interviews in the first attempt mostly.

Also, we will help you to prepare an impressive resume that is difficult to reject by recruiters.

With the Python Training in Delhi, you will know how to highlight your skills in the best way and represent yourself in front of recruiters confidently.

At the end of the Python training in Delhi, 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. Many have completed Python and Artificial Intelligence Course in Delhi at Croma Campus. It's your turn to earn your certification!

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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

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+ 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

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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

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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

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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

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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)

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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.

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

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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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