GUIDE ME

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

4.9 out of 5 based on 63498 votes
google4.2/5
Sulekha4.8/5
Urbonpro4.6/5
Just Dial4.3/5
Fb4.5/5

Course Duration

32 Hrs.

Live Project

2 Project

Certification Pass

Guaranteed

Training Format

Live Online /Self-Paced/Classroom

Watch Live Classes

Data Science & AI

Speciality

prof trained

200+

Professionals Trained
batch image

3+

Batches every month
country image

20+

Countries & Counting
corporate

100+

Corporate Served

  • 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

About-Us-Course

  • 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?

Request more information

By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy

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
Want To Know More About

This Course

Program fees are indicative only* Know more

Program Core Credentials

user

Trainer Profiles

Industry Experts

trainer

Trained Students

10000+

industry

Success Ratio

100%

Corporate Training

For India & Abroad

abrord

Job Assistance

100%

BATCH TIMINGS

Python for Data Scientist Training Upcoming Batches

WEEKDAY

07-Oct-2024*

Take class during weekdays and utilize your weekend for practice.

Get regular training by Industry Experts.

Get Proper guidance on certifications.

Register for Best Training Program.

10% OFF

FASTRACK

05-Nov-2024*

Running lack of time? Join Fastrack classes to speed up your career growth.

Materials and guidance on certifications

Register for Best Training Program.

WEEKDAY

09-Oct-2024*

Take class during weekdays and utilize your weekend for practice.

Get regular training by Industry Experts.

Get Proper guidance on certifications.

Register for Best Training Program.

10% OFF

WEEKDAY

07-Nov-2024

Take class during weekdays and utilize your weekend for practice.

Get regular training by Industry Experts.

Get Proper guidance on certifications.

Register for Best Training Program.

10% OFF

WEEKEND

12-Oct-2024

More Suitable for working professionals who cannot join in weekdays

Get Intensive coaching in less time

Get Proper guidance on certifications.

Register for Best Training Program.

10% OFF

WEEKEND

19-Oct-2024*

More Suitable for working professionals who cannot join in weekdays

Get Intensive coaching in less time

Get Proper guidance on certifications.

Register for Best Training Program.

10% OFF

Timings Doesn't Suit You ?

We can set up a batch at your convenient time.

Batch Request

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Croma Campus Learner Support

Best of support with us

Phone (For Voice Call)

+919711526942

WhatsApp (For Call & Chat)

+91-8287060032

CURRICULUM & PROJECTS

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

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
    • 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

  • 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 Mock Interview Works?

Projects

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.
Request more informations

Phone (For Voice Call):

+91-971 152 6942

WhatsApp (For Call & Chat):

+918287060032

self assessment

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

laptop

FAQ's

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!

man

Training Features

instructore

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.

assigment

Assignment

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.

expert

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.

certification

Certification

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

Training Certification

Earn your certificate

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.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.

Video Reviews

Testimonials & Reviews

sallerytrendicon

Get Latest Salary Trends

×

For Voice Call

+91-971 152 6942

For Whatsapp Call & Chat

+91-8287060032
1