Gain in-depth knowledge of Python programming language. Enroll now and learn from a Python specialist.

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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


  • 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.
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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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      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

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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.
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Why Should You Learn Python Certification Course?

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Course Duration 25-30 Days 8 Weekends 8 Days
Hours 1 Hrs. Per Day 2 Hrs. Per Day 6+ Hrs. Per Day
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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.






              • Control Structure & Flow
                • Statements if, else, elif

                  How to use nested IF and Else in Python


                  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

              Get full course syllabus in your inbox

              • Introduction to Statistics
                • Categorical Data

                  Numerical Data






                  Interquartile range


                  Standard Deviation


                  Box plot

              • Understanding Statistics
                • Descriptive Statistics

                  Sample vs Population Statistics

                  Random variables

                  Probability distribution functions

                  Expected value

                  Normal distribution

                  Gaussian distribution


                  Spread and Dispersion

                  Correlation and Co-variance

              • Data Pre-Processing & Data Mining
                • Data Preparation

                  Feature Engineering

                  Feature Scaling


                  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

              Get full course syllabus in your inbox

              • 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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                                                                                  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.
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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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                                                                                  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.

                                                                                  Career Assistancecareer assistance
                                                                                  • - Build an Impressive Resume
                                                                                  • - Get Tips from Trainer to Clear Interviews
                                                                                  • - Attend Mock-Up Interviews with Experts
                                                                                  • - Get Interviews & Get Hired
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