Best Python Course in Bangalore
Welcome to our Python Course in Bangalore! At our Python Course in Bangalore, we provide comprehensive and practical training for students who want to learn one of the most popular programming languages in the world. Whether you’re new to programming or an experienced developer, our team of expert instructors will teach you the skills you need to become a proficient Python programmer.
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Python Syllabus
Python
Module
Programming Basics & Environment Setup
Programming Basics & Environment Setup
2 Live Sessions
1 Assessment
Topics:
- Installing Anaconda Anaconda Basics and Introduction
- Get familiar with version control, Git and GitHub.
- Basic Github Commands.
- Introduction to the Jupyter Notebook environment.
- Basics Jupyter notebook Commands.
- Programming language basics.
Module
Strings, Decisions & Loop Control
Strings, Decisions & Loop Control
2 Live Sessions
1 Assessment
Topics:
- Working With Numbers, Booleans and Strings, String types and formatting, String operations
- Simple if Statement, if-else Statement
- if-elif Statement.
- Introduction to while Loops, for
- Loops, Using continue and break
Module
Python Data Types
Python Data Types
2 Live Sessions
1 Assessment
Topics:
- List, Tuples, Dictionaries
- Python Lists, Tuples, Dictionaries
- Accessing Values, Basic Operations
- Indexing, Slicing, and Matrixes
- Built-in Functions & Methods
- Exercises on List, Tuples And Dictionary
Module
Functions And Modules
Functions And Modules
2 Live Sessions
1 Assessment
Topics:
- Introduction To Functions
- Defining & Calling Functions
- Functions With Multiple Arguments
- Anonymous Functions - Lambda
- Using Built-In Modules, User-Defined
- Modules, Module Namespaces,
- Iterators And Generators
Module
File I/O An d Exceptional Handling and
Regular Expression
File I/O An d Exceptional Handling and
Regular Expression
2 Live Sessions
1 Assessment
Topics:
- Opening and Closing Files, open Function, file Object Attributes, close() Method, Read, write, seek.
- Exception Handling, try-finally Clause
- Raising an Exceptions, User-Defined Exceptions
- Regular Expression- Search and Replace
- Regular Expression Modifiers
- Regular Expression Patterns
Module
Data Analysis Using Numpy
Data Analysis Using Numpy
2 Live Sessions
1 Assessment
Topics:
- Introduction to Numpy. Array Creation, Printing Arrays, Basic Operation - Indexing, Slicing and Iterating, Shape Manipulation - Changing shape, stacking and splitting of array
- Vector stacking, Broadcasting with Numpy, Numpy for Statistical Operation
Module
Data Analysis Using Pandas
Data Analysis Using Pandas
2 Live Sessions
1 Assessment
Topics:
- Pandas : Introduction to Pandas
- Importing data into Python
- Pandas Data Frames, Indexing Data Frames ,Basic Operations With Data frame, Renaming Columns, Subsetting and filtering a data frame.
Module
Data Visualization using Seaborn
Data Visualization using Seaborn
2 Live Sessions
1 Assessment
Topics:
- Seaborn: Intro to Seaborn And Visualizing statistical relationships, Import and Prepare data. Plotting with categorical data and Visualizing linear relationships.
- Seaborn Exercise
Module
Exercises
Exercises
2 Live Sessions
1 Assessment
Topics:
- 3 Case Study on Numpy, Pandas
- 1 Case Study on Pandas And Seaborn
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Affordable Python Course Fees In Bangalore
We believe that our Python course fees are competitive and affordable, while still providing the highest quality training and support.
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Live Virtual
- 100% Job Support
- Learn 21+ Modules
- 3 Months Program
- 10+ Certifications
- Work on Live Projects
- 50+ Tools & Case Studies
₹35,000
₹29,999
Live Virtual
- 100% Job Support
- Learn 21+ Modules
- 3 Months Program
- 10+ Certifications
- Work on Live Projects
- 50+ Tools & Case Studies
₹35,000
₹31,999
Your Journey to Success in Python
There are numerous careers available in Python for students and professionals from all backgrounds from creative to technical.
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Practical Assignments
Work on Real-Time Projects
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Build Your Portfolio with 14+ Job-Oriented Certifications
Use GA4 with Other Tools and Data Sources
Use GA4 with Other Tools and Data Sources
Use GA4 with Other Tools and Data Sources
Use GA4 with Other Tools and Data Sources
Use GA4 with Other Tools and Data Sources
Who Should Enroll in this Course?
Students & Graduates
Content Creators & Bloggers
Small Business Owners
Small Business Owners
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Hari Krishnan
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Yashas Uthaiah Panjerira
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5.6 LPA
Naveen
Fresher
10.2 LPA
Abhishek
Fresher
7.6 LPA
Mani Nayak
Fresher
5.6 LPA
Rupika
Fresher
7.6 LPA
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Indras Academy Courses
Our academy offers a mix of practical workshops, virtual classrooms, and project-based learning.
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- Duration - 4 Months
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Web Development
- Duration - 3 Months
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FAQ’s
Learn from expert trainers in a state-of-the-art environment with personalized attention,
Do I need any prior programming experience to take this Python course?
While prior programming experience is not required, it can be helpful. This course is designed to teach Python from the ground up, so even if you have no programming experience, you can still learn and succeed in the course.
How much time should I expect to spend on this Python course?
The amount of time required will vary depending on the course, your prior experience, and your personal learning style. However, a general rule of thumb is to expect to spend 2-3 hours per week for a basic level course, and 4-6 hours per week for an advanced level course.
What kind of support will I receive throughout the Python course?
You can expect to receive support from the instructor and/or teaching assistants. This may include feedback on assignments, answering questions in class or through a forum, and office hours for one-on-one support.
Do I get job assistance at Indra's Academy?
As mentioned earlier, Indra’s Academy not only offers excellent coaching to students but also makes sure each candidate gets equal opportunity to interview in well-known organizations. We deliver 100% job assistance with a minimum of 30 interviews.
What will I be able to do with Python after completing this course?
After completing this course, you should have a strong understanding of Python and be able to use it to complete a variety of tasks, depending on the course focus. This may include building web applications, analyzing data, implementing machine learning algorithms, or developing software applications.
What is the average salary of python developer?
The average salary of a Python developer can vary depending on factors such as experience, location, industry, and company size.
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What kind of projects will we work on in this Python course?
The projects in this course will vary based on the course focus and level, but they will all be designed to help you apply what you’ve learned in real-world scenarios. Examples of projects include building a web application, analyzing data with Python libraries, or implementing a machine learning algorithm.
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Success Stories
Be inspired by the accomplishments of our students who turned their passion into successful careers.
As someone who has taken multiple programming courses, I can confidently say that this Python course is top-notch. The lessons were well-organized and the assignments challenged me just enough to keep me engaged without overwhelming me.
Lakshmi
Backend Developer
I’ve been self-taught in Python for a while, but I felt like I hit a plateau and wasn’t making much progress. That’s why I decided to enroll in this course and it was exactly what I needed. The curriculum covered advanced topics that I wouldn’t have thought to learn on my own
Jay
Data Scientist
I was drawn to this Python course because of its focus on data science and machine learning, and it did not disappoint. The projects were challenging, but with the instructor’s guidance, I was able to complete them and gain valuable experience working with real datasets.
Sandeep
Data Architect
The instructor used interactive visualizations to explain complex concepts and the projects involved creating visualizations of real data. It was a great way to learn Python while also developing my design skills. I would recommend this course to anyone who wants to learn Python.
Saritha
Data Manager
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