- 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 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:
- 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.
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
- Completing Python coaching in Hyderabad can significantly enhance your career prospects. Here's how:
- Overall, Python coaching in Hyderabad can pave the way for substantial career advancement, diverse job roles, and high earning potential.
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.
- 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:
- Data Scientist:
- Web Developer:
- Automation Engineer:
- Data Analyst:
- Machine Learning Engineer:
Design, develop, and maintain Python-based applications.
Write clean, efficient, and reusable code.
Analyse complex datasets to derive actionable insights.
Develop machine learning models and algorithms.
Build and optimize server-side logic.
Integrate user-facing elements with server-side logic.
Develop scripts and tools to automate repetitive tasks.
Implement and manage CI/CD pipelines.
Collect, process, and analyse data to support decision-making.
Create data visualizations and reports.
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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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
- 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 Keyword and Identiers
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
- 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
- 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)
- 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.
- 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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Projects
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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.
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Training Features
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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 Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Assignment
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
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.
Certification
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
Training Certification
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Testimonials & Reviews
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