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  • 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.
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Python Certification Course

About-Us-Course

  • 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.

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  • 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.
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  • 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.
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  • 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.

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      You will find this technology comprising vast library support.

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  • 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.

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      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.

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      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.

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      Here, our trainers will help you to choose adequate Python Training for yourself.

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      Moreover, you will receive in-depth Python Certification Course by skilled industry experts.

Why Should You Learn Python Certification Course?

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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
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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 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

  • 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

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  • 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

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

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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  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired
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