30k
LearnersWeekend/WeekdayLive
Class
- 2 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
Gain in-depth knowledge of Python programming language. Enroll now and learn from a Python specialist.
4.2/5
4.8/5
4.6/5
4.3/5
4.5/5Course Duration
32 Hrs.Live Project
2 ProjectCertification Pass
GuranteedTraining Format
Live Online /Self-Paced/ClassroomWatch Live Classes
Speciality
200 +
Professionals Trained
3 +
Batches every month
20+
Countries & Counting
100+
Corporate Served- 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.
Python Training in Noida
- 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.
- 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.
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.
- Moving ahead, let us see some common job roles and responsibilities in Python you must obey on the completion of Python Course in Noida.
- Being the eminent Best Python Institute in Noida, we help you to manage all these roles and responsibilities with the utmost skills and confidence.
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.
- 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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Python Certification Training Programs
Python Certification TrainingPrograms
Programming with Python Training
- 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:
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
Introduction To Python
- In this program you will learn:
- Python Keyword and Identifiers
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
Python Keyword and Identifiers
- In this program you will learn:
- 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
Introduction To Variables:
- In this program you will learn:
- 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
Python Data Type:
- In this program you will learn:
- 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.
Control Structure & Flow
- In this program you will learn:
- 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 Function, Modules and Packages
- In this program you will learn:
- 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
Python Date Time and Calendar:
- In this program you will learn:
- 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
List
- In this program you will learn:
- 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)
Tuple
- In this program you will learn:
- 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.)
Dictionary
- In this program you will learn:
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Frozen Sets
Sets
- In this program you will learn:
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
Strings
- In this program you will learn:
- 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
Python Exception Handling
- In this program you will learn:
- 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 File Handling
- In this program you will learn:
- SQL Database connection using
- Creating and searching tables
- Reading and Storing config information on database
- Programming using database connections
Python Database Interaction
- In this program you will learn:
- Installing SMTP Python Module
- Sending Email
- Reading from file and sending emails to all users
Contacting user Through Emails Using Python
- In this program you will learn:
- 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
Reading an excel
- In this program you will learn:
- 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
Complete Understanding of OS Module of Python
Get full course syllabus in your inbox
- In this program you will learn:
- 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
NumPy
- In this program you will learn:
- 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
Pandas
- In this program you will learn:
- 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.
MatPlotLib
- In this program you will learn:
- Introduction to Seaborn
- Making a scatter plot with lists
- Making a count plot with a list
- Using Pandas with seaborn
Introduction to Seaborn
- In this program you will learn:
- 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
Python Object Oriented Programming—Oops Concepts
Get full course syllabus in your inbox
Python Django Full Stack Development Training
30k
LearnersWeekend/WeekdayLive
Class
- 2 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
- 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
ID
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
Get full course syllabus in your inbox
Django Framework Certification Training
30k
LearnersWeekend/WeekdayLive
Class
- 1 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
- 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.
Get full course syllabus in your inbox
- 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
Get full course syllabus in your inbox
Python for Data Scientist Training
30k
LearnersWeekend/WeekdayLive
Class
- 2 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
- 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
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
Python Keyword and Identiers
Python Comments, Multiline Comments.
Python Indentation
Understating the concepts of Operators
- 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.
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
Machine Learning with Python Training
30k
LearnersWeekend/WeekdayLive
Class
- 3 Live Project
- Self-Paced/ Classroom
- Certification Pass Guaranteed
- 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
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
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
Python Keyword and Identiers
Python Comments, Multiline Comments.
Python Indentation
Understating the concepts of Operators
- 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
- Strings
- List
- Tuples
- Dictionary
- Sets
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.
- 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)
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
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?
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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.
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Data Science
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