Our Python Training Classes in Hyderabad is ideal for aspiring Python developers, data analysts, software engineers, students, and graduates.

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  • If you're seeking to enhance your programming skills, consider enrolling in a Python institute in Hyderabad like Croma Campus. Hyderabad offers numerous opportunities for quality education in programming, with several esteemed institutes providing python classes in Hyderabad. These classes cater to both beginners and advanced learners, ensuring a comprehensive understanding of Python.
  • The python training in Hyderabad includes hands-on experience, real-world projects, and a curriculum that covers everything from basic syntax to advanced concepts like data science and machine learning. With expert instructors and interactive learning environments, these institutes equip you with the skills needed to excel in the tech industry.
  • Whether you're starting your coding journey or looking to advance your career, python coaching in Hyderabad is an excellent choice.
  • Prerequisites for Python classes Hyderabad
    • Basic Python Knowledge: Syntax, data types, control structures.

      Functions: Defining, calling, parameters, return statements.

      Object-Oriented Programming (OOP) Concepts: Classes, objects, inheritance, encapsulation, polymorphism.

      Methods and Attributes: Functions within a class, variables holding data.

      Inheritance: Ability for one class to inherit from another.

      Modules and Packages: Importing, using modules and packages.

      Exception Handling: Dealing with errors and exceptions.

      Basic Data Structures: Lists, dictionaries, tuples.

Python Training Classes in Hyderabad


  • Python classes in Hyderabad are designed for students, professionals from various sectors, job seekers, entrepreneurs, and business owners aiming to enhance their programming skills, transition careers, or leverage Python for tasks such as automation, data analysis, or prototype development.

  • Here are alternative objectives for Python Training in Hyderabad:
    • Master Python Concepts: Understand the core constructs and syntax of Python.

      Program Development: Learn to develop your own Python programs.

      Machine Learning Mastery: Study machine learning algorithms implemented in Python.

      Hands-On Projects: Engage in real-time projects to apply Python skills practically.

  • Completing Python training in Hyderabad can lead to various well-paying job opportunities. Here are some salary expectations based on different roles:
    • Python Developer: 4,00,000 - 10,00,000 per annum

      Data Scientist: 6,00,000 - 15,00,000 per annum

      Machine Learning Engineer: 7,00,000 - 14,00,000 per annum

      Web Developer: 3,50,000 - 8,00,000 per annum

      Automation Engineer: 5,00,000 - 12,00,000 per annum

  • Salaries can vary based on experience, the specific company, and the job role, but Python certification typically leads to high-demand positions with competitive salaries and growth potential.

  • Completing Python coaching in Hyderabad can significantly enhance your career prospects. Here's how:
    • Entry-Level Opportunities: Start as a Junior Python Developer or Web Developer, with foundational skills gained from the course.

      Mid-Level Positions: Progress to roles such as Data Analyst, Backend Developer, or Automation Engineer, leveraging Python for more complex projects.

      Advanced Roles: Advance to positions like Data Scientist, Machine Learning Engineer, or Senior Python Developer, utilizing advanced Python skills and specialization areas.

      Leadership and Management: Move into technical lead, project manager, or team lead roles, guiding teams and projects with your expertise in Python.

      Specialization and Niches: Explore specialized fields such as artificial intelligence, big data, and cybersecurity, which increasingly rely on Python.

      Freelancing and Consulting: Consider freelance opportunities or consulting roles, offering Python expertise to various clients and industries.

      Continuous Learning: Stay updated with the latest Python frameworks and libraries, ensuring continued growth and relevance in the tech industry.

  • Overall, Python coaching in Hyderabad can pave the way for substantial career advancement, diverse job roles, and high earning potential.

  • Python classes are immensely popular in Hyderabad for several reasons:
    • Versatility: Python is employed in a wide range of fields such as machine learning, AI, web development, hacking, IoT, and beyond, showcasing its versatility.

      Beginner Friendly: Python is simple yet powerful syntax makes it one of the most accessible languages for beginners to learn.

      Be in Demand: As the fastest-growing language according to Stack Overflow, Python offers promising career prospects, with freshers in Hyderabad earning an average salary of 5 LPA+ as per Glassdoor.

  • Software Developer:
    • Design, develop, and maintain Python-based applications.

      Write clean, efficient, and reusable code.

  • Data Scientist:
    • Analyse complex datasets to derive actionable insights.

      Develop machine learning models and algorithms.

  • Web Developer:
    • Build and optimize server-side logic.

      Integrate user-facing elements with server-side logic.

  • Automation Engineer:
    • Develop scripts and tools to automate repetitive tasks.

      Implement and manage CI/CD pipelines.

  • Data Analyst:
    • Collect, process, and analyse data to support decision-making.

      Create data visualizations and reports.

  • Machine Learning Engineer:
    • Design and implement machine learning algorithms.

      Optimize and scale machine learning models for production.

  • The leading hiring sectors can fluctuate depending on location and prevailing trends. However, as per current observations, certain industries consistently emerge as prime employers.
    • IT Solutions: Software development and automation.

      Data Analytics: Data interpretation, visualization, and machine learning.

      Financial Sector: Risk analysis and algorithmic trading.

      Healthcare: Health informatics and data analysis.

      E-commerce: Web development and customer data analysis.

  • Upon completing your Python course in Hyderabad, you will receive a training certificate that is valid worldwide. This certification, obtained through python coaching in Hyderabad, demonstrates your proficiency in Python programming.
  • Earning a certificate from the best python institute in Hyderabad significantly enhances your resume, making you more eligible for job opportunities in leading industries. This certification validates your skills and knowledge, boosting your career prospects and opening doors to various advanced roles.

Why Should You Learn Python?

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Plenary for Python for Data Scientist Training

Track Week Days Weekends Fast Track
Course Duration 40-45 Days 7 Weekends 8 Days
Hours 1 Hrs. Per Day 2 Hrs. Per Day 6+ Hrs. Per Day
Training Mode Classroom/Online Classroom/Online Classroom/Online
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Python for Data Scientist Training

  • 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

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  • Introduction To Python
    • Installation and Working with Python

      Understanding Python variables

      Python basic Operators

      Understanding the Python blocks.

  • Python Keyword and Identiers
    • Python Keyword and Identiers

      Python Comments, Multiline Comments.

      Python Indentation

      Understating the concepts of Operators

      • Arithmetic
        • Relational
          • Logical
            • Assignment
              • Membership
                • Identity
              • Introduction To Variables
                • Variables, expression condition and function

                  Global and Local Variables in Python

                  Packing and Unpacking Arguments

                  Type Casting in Python

                  Byte objects vs. string in Python

                  Variable Scope

              • Python Data Type
                • Declaring and using Numeric data types

                  Using string data type and string operations

                  Understanding Non-numeric data types

                  Understanding the concept of Casting and Boolean.






              • 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

              • 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


                  Lots of Example on Python Calendar

                  Create 12-month Calendar



                  Format Code list of Data, Time and Cal

                  Locale’s appropriate date and time

              • List
                • What is List.

                  List Creation

                  List Length

                  List Append

                  List Insert

                  List Remove

                  List Append & Extend using “+” and Keyword

                  List Delete

                  List related Keyword in Python

                  List Revers

                  List Sorting

                  List having Multiple Reference

                  String Split to create a List

                  List Indexing

                  List Slicing

                  List count and Looping

                  List Comprehension and Nested Comprehension

              • Tuple
                • What is Tuple

                  Tuple Creation

                  Accessing Elements in Tuple

                  Changing a Tuple

                  Tuple Deletion

                  Tuple Count

                  Tuple Index

                  Tuple Membership

                  TupleBuilt in Function (Length, Sort)

              • Dictionary
                • Dict Creation

                  Dict Access (Accessing Dict Values)

                  Dict Get Method

                  Dict Add or Modify Elements

                  Dict Copy

                  Dict From Keys.

                  Dict Items

                  Dict Keys (Updating, Removing and Iterating)

                  Dict Values

                  Dict Comprehension

                  Default Dictionaries

                  Ordered Dictionaries

                  Looping Dictionaries

                  Dict useful methods (Pop, Pop Item, Str , Update etc.)

              • Sets
                • What is Set

                  Set Creation

                  Add element to a Set

                  Remove elements from a Set

                  PythonSet Operations

                  Frozen Sets

              • Strings
                • What is Set

                  Set Creation

                  Add element to a Set

                  Remove elements from a Set

                  PythonSet Operations

              • Python Exception Handling
                • Python Errors and Built-in-Exceptions

                  Exception handing Try, Except and Finally

                  Catching Exceptions in Python

                  Catching Specic Exception in Python

                  Raising Exception

                  Try and Finally

              • Python File Handling
                • Opening a File

                  Python File Modes

                  Closing File

                  Writing to a File

                  Reading from a File

                  Renaming and Deleting Files in Python

                  Python Directory and File Management

                  List Directories and Files

                  Making New Directory

                  Changing Directory

              • Python Database Interaction
                • SQL Database connection using

                  Creating and searching tables

                  Reading and Storing cong information on database

                  Programming using database connections

              • Contacting user Through Emails Using Python
                • Installing SMTP Python Module

                  Sending Email

                  Reading from le and sending emails to all users

              • Reading an excel
                • Working With Excel

                  Reading an excel le using Python

                  Writing to an excel sheet using Python

                  Python| Reading an excel le

                  Python | Writing an excel le

                  Adjusting Rows and Column using Python

                  ArithmeticOperation in Excel le.

                  Play with Workbook, Sheets and Cells in Excel using Python

                  Creating and Removing Sheets

                  Formatting the Excel File Data

                  More example of Python Function

              • Complete Understanding of OS Module of Python
                • Check Dirs. (exist or not)

                  How to split path and extension

                  How to get user prole detail

                  Get the path of Desktop, Documents, Downloads etc.

                  Handle the File System Organization using OS

                  How to get any les and folder’s details using OS

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              • Statistics
                • Categorical Data

                  Numerical Data






                  Interquartile range


                  Standard Deviation


                  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


                  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


                  Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)

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              • NumPy
                • Introduction to NumPy: Numerical Python

                  Importing NumPy and Its Properties

                  NumPy Arrays

                  Creating an Array from a CSV

                  Operations an Array from a CSV

                  Operations with NumPy Arrays

                  Two-Dimensional Array

                  Selecting Elements from 1-D Array

                  Selecting Elements from 2-D Array

                  Logical Operation with Arrays

                  Indexing NumPy elements using conditionals

                  NumPy’s Mean and Axis

                  NumPy’s Mode, Median and Sum Function

                  NumPy’s Sort Function and More

              • MatPlotLib
                • Bar Chart using Python MatPlotLib

                  Column Chart using Python MatPlotLib

                  Pie Chart using Python MatPlotLib

                  Area Chart using Python MatPlotLib

                  Scatter Plot Chart using Python MatPlotLib

                  Play with Charts Properties Using MatPlotLib

                  Export the Chart as Image

                  Understanding plt. subplots () notation

                  Legend Alignment of Chart using MatPlotLib

                  Create Charts as Image

                  Other Useful Properties of Charts.

                  Complete Understanding of Histograms

                  Plotting Different Charts, Labels, and Labels Alignment etc.

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              • Introduction to Seaborn
                • Introduction to Seaborn

                  Making a scatter plot with lists

                  Making a count plot with a list

                  Using Pandas with seaborn

                  Tidy vs Untidy data

                  Making a count plot with a Dataframe

                  Adding a third variable with hue

                  Hue and scattera plots

                  Hue and count plots

              • Visualizing Two Quantitative Variables
                • Introduction to relational plots and subplots

                  Creating subplots with col and row

                  Customizing scatters plots

                  Changing the size of scatter plot points

                  Changing the style of scatter plot points

                  Introduction to line plots

                  Interpreting line plots

                  Visualizing standard deviation with line plots

                  Plotting subgroups in line plots

              • Visualizing a Categorical and a Quantitative Variable
                • Current plots and bar plots

                  Count plots

                  Bar plot with percentages

                  Customizing bar plots

                  Box plots

                  Create and interpret a box plot

                  Omitting outliers

                  Adjusting the whisk

                  Point plots

                  Customizing points plots

                  Point plot with subgroups

              • Customizing Seaborn Plots
                • Changing plot style and colour

                  Changing style and palette

                  Changing the scale

                  Using a custom palette

                  Adding titles and labels: Part 1

                  Face Grids vs. Axes Subplots

                  Adding a title to a face Grid object

                  Adding title and labels: Part 2

                  Adding a title and axis labels

                  Rotating x-tics labels

                  Putting it all together

                  Box plot with subgroups

                  Bar plot with subgroups and subplots

                  Well done! What’s next

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              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 Mock Interview Works?


              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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              Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals



              You can expect comprehensive training from experienced instructors covering all aspects of Python.

              Yes, the classes cater to beginners as well as advanced learners.

              The training includes coding exercises, real-world projects, and thorough theoretical knowledge.

              Institutes like Croma Campus provide structured learning, hands-on experience, and support from industry experts.

              Topics include basic syntax, data analysis, web development, and machine learning.

              Personalized guidance, practical experience, and career support.

              Look for institutes with good reviews, experienced faculty, and a comprehensive curriculum.

              Career Assistancecareer assistance
              • - Build an Impressive Resume
              • - Get Tips from Trainer to Clear Interviews
              • - Attend Mock-Up Interviews with Experts
              • - Get Interviews & Get Hired
              Are you satisfied with our Training Curriculum?

              If yes, Register today and get impeccable Learning Solutions!


              Training Features


              Instructor-led Sessions

              The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.

              real life

              Real-life Case Studies

              Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.



              Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.

              life time access

              Lifetime Access

              Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.


              24 x 7 Expert Support

              With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.



              Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.

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              Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.

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