Python Training Course in Pune

Name: Python for Data Scientist Training
Rating: 4.623816226901075 (69912 reviews)

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If you're looking to boost your programming skills, consider joining a Python institute in Pune. Pune is home to several renowned institutes offering top-quality python classes in Pune. These courses are designed for both beginners and experienced programmers, providing a thorough understanding of Python.
The python training in Pune features practical experience, real-life projects, and a curriculum that spans from basic syntax to advanced topics like data science and machine learning. With skilled instructors and engaging learning environments, these institutes prepare you for success in the tech industry.
Whether you're just starting out or seeking to advance your career, a Python course in Pune offer the ideal learning experience.
Prerequisites for Python classes:
Before diving into Python classes, it's helpful to have a basic understanding of programming concepts such as variables, data types, control structures (like loops and conditionals), functions, and object-oriented programming (OOP) concepts.
Here is a quick breakdown of some prerequisites:

Basic Python Knowledge: You should be comfortable with Python syntax, data types (strings, integers, lists, dictionaries, etc.), operators, and basic programming constructs (if statements, loops, functions, etc.).

Functions: Understanding how to define and call functions in Python is essential. This includes parameters, return statements, and scope.

Object-Oriented Programming (OOP) Concepts: Familiarity with the basic concepts of OOP is crucial since classes are a fundamental part of OOP. Understand concepts like classes, objects, inheritance, encapsulation, and polymorphism.

Understanding of Methods and Attributes: Methods are functions defined within a class, while attributes are variables that hold data associated with a class or object. Knowing how to define and use both is important.

Understanding of Inheritance: Inheritance allows one class to inherit attributes and methods from another class. Understanding how inheritance works and how to use it is essential for creating complex class hierarchies.

Modules and Packages: Understanding how to import and use modules and packages in Python will be helpful, as classes are often defined in modules and organized into packages.

Exception Handling: Knowing how to handle errors and exceptions in Python is important for writing robust code, including code that uses classes.

Basic Data Structures: While not strictly necessary, having a grasp of basic data structures like lists, dictionaries, and tuples will be helpful, as classes often interact with these data types.

Once you're comfortable with these concepts, you'll be well-prepared to start working with Python classes. Remember that practice is key, so be sure to write plenty of code and experiment with creating your own classes and objects.

What you will learn for Python classes in Pune:

Understand Python Concepts: Grasp the fundamental constructs and syntax of Python.

Develop Python Programs: Learn to create your own Python programs from scratch.

Machine Learning Algorithms: Gain knowledge of machine learning algorithms using Python.

Real-Time Projects: Work on real-time projects to apply Python in practical scenarios.

Python classes in Pune are suitable for students, professionals from various fields, job seekers, entrepreneurs, and business owners looking to enhance their programming skills, switch careers, or leverage Python for automation, data analysis, or prototype development.

Completing Python training in Pune can open doors to various lucrative career 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 depending on experience, the specific company, and the job role, but Python certification typically leads to well-paying positions with significant growth potential.

Completing Python coaching in Pune can significantly boost your career prospects:

Entry-Level Roles: Start as a Junior Python Developer or Web Developer.

Mid-Level Positions: Progress to Data Analyst, Backend Developer, or Automation Engineer.

Advanced Roles: Advance to Data Scientist, Machine Learning Engineer, or Senior Python Developer.

Leadership: Move into technical lead or project manager roles.

Specialization: Explore AI, big data, and cybersecurity fields.

Freelancing and Consulting: Offer Python expertise to various clients.

Continuous Learning: Stay updated with the latest Python technologies for ongoing career growth.

Python coaching in Pune opens doors to diverse job roles and high earning potential.

Python classes are popular in Pune for several reasons:

Versatility: Python is used across various domains including machine learning, AI, web development, hacking, IoT, and more, making it a highly versatile language.

Beginner Friendly: With its simple and powerful syntax, Python is one of the easiest programming languages to learn, ideal for beginners.

Be in Demand: According to Stack Overflow, Python is the fastest-growing language, and freshers in Pune can expect an average salary of 5 LPA+ according to Glassdoor.

Python developers can work in various roles such as software engineers, data scientists, machine learning engineers, and full-stack developers. Their responsibilities include:

Writing and testing code

Debugging programs

Integrating applications with third-party services

Developing back-end components

Supporting front-end developers

Writing and maintaining technical documentation

Ensuring system performance

Writing and executing automated tests

Staying updated with new technologies

Collaborating with teams

Suggesting new features and improvements

Responsibilities:

Maintain the code base

Fix bugs and errors

Develop and maintain features

Improve application performance

The top hiring industries can vary by region and over time, but as of the current trends, here are some of the industries that are consistently seen as top employers:

IT Services: Development, automation, and system integration.

Data Science and Analytics: Data analysis, visualization, and machine learning.

Finance: Algorithmic trading, risk management, and financial modelling.

Healthcare: Medical data analysis, bioinformatics, and healthcare applications.

E-commerce: Backend development, data processing, and customer analytics.

After completing your Python course in Hyderabad, you will be awarded a globally recognized training certificate. This certification from python coaching in Hyderabad attests to your expertise in Python programming.
Obtaining your certificate from the best python institute in Hyderabad greatly enhances your resume and increases your eligibility for top job opportunities in various industries.
This credential validates your skills, significantly boosting your career prospects and paving the way for advanced professional 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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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 Upcoming Batches

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03-Oct-2024

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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

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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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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 will learn Python programming from basics to advanced topics.

Yes, the training is designed for both beginners and experienced programmers.

It covers a wide range of topics including data analysis, web development, and machine learning.

They offer expert instructors, hands-on projects, and a robust curriculum for comprehensive learning.

Career 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

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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.

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Testimonials & Reviews

1. In recent times Python learning is hugely in demand. And I was looking for an institution to get myself enrolled in this course to become a Data Scientist. They have the best trainers and an affordable fee structure. It's been month