Name: Python for Data Scientist Training
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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 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.

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Why Should You Learn Python?

` Python is the most popular programing language.

` Python is widely used in various business sectors.

` Surpassed out java due to its specifications.

` An inevitable part of Data Analytics which is growing out.

` It is easy to learn & write this programming language.

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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.

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

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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)

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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 Placement Process 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.

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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.

Career 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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