- Python is basically an interpreted high-standard general-purpose programming language. You will find its design philosophy emphasizing code readability with its use of important indentation. At the moment, Python Certification Course is one of the fast-growing languages across the globe. Its object-oriented structure makes it different, and preferable for all sorts of software solutions. Amongst developers, it is one of the best software existing.
- So, if you have an interest in learning this Python Programming Certificate Course, then you should surely get started with the Python Class immediately. To acquire its detailed Python Training, you should get associated with Croma Campus. Here, you will receive quite an unusual sort of Python Certification Course that will make your base knowledge strong.
- Things you will learn in Python Certification Course:
By enrolling in our Python Programming Certificate Course, you will get an opportunity to experience a whole new learning experience.
You will receive training from industry experts and professionals.
You will be ensured of 100% placement as well.
Furthermore, here, our faculty members will involve you in an interactive sort of training.
- You might consider Python Course in Delhi with Certification difficult, but it's eventually not that complex. In fact, Python Certification is rather interesting to explore its different sections, and sides. Our trainers will thoroughly help you to understand every bit, and piece in a quite easier manner.
In the beginning, our faculty members will teach you the basics, and fundamentals of this subject.
Furthermore, you will receive sessions regarding 'functions, positional and keyword arguments, *args and **kwargs, Classes, etc.
Our trainers will provide you with detailed training on "Lists, List comprehension, Dictionaries, Sets, Tuples, etc.
All these terms might sound complex to you, but our trainers will help you to understand each one of its uses and its significance.
You will be explained each, and every topic with reference to several instances as well.
- Python is one of the most demanding technologies. In fact, there are lots of companies hiring skilled Python Developers as well, but comparably as per the demand, the grant is quite low. So, taking up Python Certification Course at this point will be beneficial for your career.
By getting started with our Python Course, you will get the chance to accumulate new features, and trends in this subject.
By obtaining Python Certification in hand, you will always receive a quite higher salary than normal candidates.
To be exact, you will earn around 427,293 per year, which is quite decent for starters.
Well, with experience, and imbibing more skills, your salary structure will also get expanded.
In fact, as a freelancer developer also, you will be able to make a good amount of money as well.
- Ever since its invention, Python has been in demand because of its exceptional offerings. If you aspire to construct your career out of Advanced Python Programming Course, then you should surely know about its minute details.
By obtaining this Python Certification Course, your career graph will get uplifted.
From starting your career with Rs. 4 Lakh, your salary structure will get enhanced up to Rs. 8 Lakh respectively.
This Python Certification will provide you with several job roles. like you can become a developer, Data Scientist, Software Engineer, etc.
With these different job roles, your salary package will also get affected positively.
Your chances of getting settled into a good workspace will increase post acquiring Python Course in Noida with Certification.
- At the moment, there are numerous reasons to get started with the Python Certification Course. One of the significant benefits of this programming language is that it's easy to read, learn and write respectively.
By enrolling in our Python Certification, you will get the chance to acquire in-depth information on this subject.
In fact, Python is an interpreted language which means that Python wholly executes the code line by line consecutively.
It's also free, and open-source, which means you can easily download the source code.
You will find this technology comprising vast library support.
Its portability nature also makes it unique from its contemporaries.
By obtaining its legitimate certification of Python Class, you will be able to stick in this field in the long run.
- A Python Developer has to perform a number of tasks on a daily basis. Often, they are expected to work more than their main job roles. So, if you also aspire to turn into a Python Developer, then you should surely know what duties you will have to perform. Moreover, Python Certification Course will help you to analyze each role of this designation better.
Your foremost duty will be to write, test, use, and script code.
You will also have to indulge in examining, implying, and understanding business requirements, feature modification requests, and adding effective software components.
Working as Python Develop will include you in developing backend components to accelerate the overall performance and receptiveness, of server-side logic tasks.
Testing and debugging software applications with the Python test framework will also be your main role.
You will also have to indulge in enhancing the functionalities of current software systems respectively.
You have to also come up with AI and ML-based features models.
Often you will have to work closely with the designer to come up with new ideas for enhancing a specific website.
- At the moment, numerous companies are hiring skilled Python Developers. So, if you have an interest in stepping into the IT, and development field, then you should surely take up this Python Certification Course seriously.
Accenture, TCS, Cognizant, etc. are some of the established companies hiring skilled Python Developers
By enrolling in our Python Certification, you will get the opportunity to get placed in huge establishments.
In fact, right from the beginning, our faculty members will help you to crack the interview process.
By getting into these companies, you will get a good salary structure as well.
Our detailed Python Class will help you to understand this subject from a different perspective.
- Croma Campus is a bona-fide institution that deals in imparting training in IT, courses. It is in fact, the one-of-a-kind institution that has been doing consistently well in this industry. One of the reasons why candidates prefer this institution is its assured placement facility.
You will find all our courses are highly acknowledged in the real industry.
You will also get a fair chance to know other courses as well.
Here, our trainers will help you to choose adequate Python Training for yourself.
They will guide you concerning its entry-level, and master-level of Python Courses as well.
Moreover, you will receive in-depth Python Certification Course by skilled industry experts.
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CURRICULUM & PROJECTS
Python Certification Training
- What is Data Analytic
- Common Terms in Data Analytics
- What is data
- Classication of data
- Relevance in industry and need of the hour
- Types of problems and business objectives in various industries
- How leading companies are harnessing the power of analytics
- Critical success drivers.
- Overview of Data Analytics tools & their popularity.
- Data Analytics Methodology & problem-solving framework.
- List of steps in Data Analytics projects
- 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 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
- 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
- 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 folders details using OS
- Introduction to Statistics
Categorical Data
Numerical Data
Mean
Median
Mode
Outliers
Range
Interquartile range
Correlation
Standard Deviation
Variance
Box plot
- Understanding Statistics
Descriptive Statistics
Sample vs Population Statistics
Random variables
Probability distribution functions
Expected value
Normal distribution
Gaussian distribution
Z-score
Spread and Dispersion
Correlation and Co-variance
- Data Pre-Processing & Data Mining
Data Preparation
Feature Engineering
Feature Scaling
Datasets
Dimensionality Reduction
Anomaly Detection
Parameter Estimation
Data and Knowledge
Selected Applications in Data Mining
- EDA (Exploratory Data Analysis)
Need for structured exploratory data
EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
Identify missing data
Identify outliers data
Imbalanced Data Techniques
- Data Analysis and Visualization using 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 Nonvalues
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 Data Frame 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)
- Data Analysis and Visualization using 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
NumPys Mean and Axis
NumPys Mode, Median and Sum Function
NumPys Sort Function and More
- Data Analysis and Visualization using 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.
- Introduction to Data Visualization with Seaborn
- 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
- 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
- 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! Whats next
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
Visualizing a Categorical and a Quantitative Variable
Customizing Seaborn Plots
Mock Interviews
Projects
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FAQ's
Yes, Python is definitely a worth learning course. It's hugely in demand as well. Candidates prefer learning this because it's quite easier to grasp.
You must have basic information on front-end technologies, code versioning tools, event-driven programming, and good communication skills.
Python is quite an easy framework to learn. You can learn this in 30 days as well.
Here, you will receive training from industry experts, along with theoretical training, you will receive its practical implementation as well. You will also get a chance to get placed in a good organization.
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