Empower Your Career with
Data Analytic Skills

(5.0)
  • 5+ Years of Expert Trainers
  • Real-World Data Analytic Projects
  • 6-Month Intensive Program
  • 100+ Hours of Practical Challenges
  • Lifetime Career Support
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₹8LPA
Average package
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53%
Average pay hike
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2400+
Tech transitions
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510+
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Learn with a
World-Class Curriculum

Python

This module introduces you to the basics of UI and UX design, focusing on how they come together to create user-friendly digital products. You’ll learn key concepts that form the foundation of designing great user interfaces and experiences.

  • Python Introduction
  • Data Types
  • Collections
  • Creating a List
  • Control Flow Statements
  • Conditional Statements
  • Loops in Python
  • Control Transfer Statements
  • Functions in Python
  • Built-in Functions
  • User Defined Functions
  • File Handling
  • Exception Handling
  • OOPS in Python
  • Class and Objects
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction
  • Python for Data Science
  • Numpy
  • Arrays
  • Array operation
  • Indexing and slicing
  • Shape and reshape
  • Data types
  • Mathematical functions
  • Statistical functions
  • Random
  • Pandas
  • Data structures
  • Data operations
  • Data manipulation
Tools and Technologies You'll Master
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Craft Your Path to Data Analyst Mastery

Curriculum lines Curriculum Start Curriculum End
Strong Foundations
  • Develop a solid grounding in core data analysis concepts.
  • Gain essential skills through interactive, hands-on exercises.
Hands-On Projects
  • Work on real-world data analysis projects for deeper insights.
  • Analyze data, build models, and apply practical techniques.
Refine with Feedback
  • Learn from experienced data analytics in the field.
  • Receive personalized feedback to sharpen your analysis skills.
Career-Focused Support
  • Get assistance with resume building and interview preparation.
    • Access exclusive job opportunities in data analysis..
01
Strong Foundations
  • Develop a solid grounding in core data analysis concepts.
  • Gain essential skills through interactive, hands-on exercises.
02
Hands-On Projects
  • Work on real-world data analysis projects for deeper insights.
  • Analyze data, build models, and apply practical techniques.
03
Refine with Feedback
  • Learn from experienced data analytics in the field.
  • Receive personalized feedback to sharpen your analysis skills.
04
Career-Focused Support
  • Get assistance with resume building and interview preparation.
    • Access exclusive job opportunities in data analysis..

Our Bootcamp is Unmatched. Here's Why.

Question
Hands-On Project Portfolio
Expert-Led Courses
Real-World Case Studies
Experienced Mentorship
Skill-Focused Learning
Cutting-Edge Curriculum
Comprehensive Career Services
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Begin building real-world projects from the first week
Taught by seasoned professionals with extensive industry experience
Engage in case studies directly from industry environments
Receive guidance from industry veterans with deep expertise
Focused on developing practical, job-ready skills
Constantly updated with the latest industry trends and technologies
Offers resume building, interview prep, and personalized mentorship
Other Courses
Projects are introduced only towards the end
Courses often taught by instructors with limited practical knowledge
Lack of real-world scenarios or case study integration
Mentors may lack relevant industry exposure
Courses may lean too much on theory, limiting practical learning
Content may be outdated or not aligned with current industry standards
Limited or no career support for students

Tuition Fee and Training Options

10% OFF
Early Bird Offer Awaits
₹ 45,000
₹ 40,500
Apply Now View EMI Plans
Fee Structure
What's Included
  • 6 Months Program Duration
  • 40 Hands-On Assignments
  • Industry Case Studies
  • Real-World Projects
  • 1:1 Mentorship by Experts
  • Flexible Learning Schedule
  • Certification of Completion
  • Interview Preparation & Analysis: Get personalized feedback and support from industry mentors to ace your interviews with confidence.
  • LinkedIn Profile Optimization: Enhance your professional presence with expert reviews and assistance in building a standout portfolio.
  • Real-World Capstone Projects: Work on industry-relevant projects from a Design Studio to showcase your skills and boost your employability.
16th Nov 2024 Saturday & Sunday
25th Nov 2024 Monday to Friday
09th Dec 2024 Monday to Friday
Next Cohort
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Ready to accelerate your Data Analytics career?

Course Certificate Awaits

Btree
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Enhance your credibility and distinguish yourself among peers and industry professionals.
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Showcase your achievements to a wider audience for increased impact.
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Btree Alumni Status
Forge lasting connections with a global network of tech experts and experienced peers.
Acclaimed Certification
Continuous Learning
Advance with Btree’s ongoing education in cutting-edge tech and trends.

Prerequisites and Eligibility

Open to all data analytics learners - whatever your experience level, everyone’s welcome to dive in!

  • Career Changers
  • New Graduates
  • Marketing
  • Entrepreneurs
  • Managers
  • Admin
  • HR Learners
  • Developers
  • Teachers
  • Consultants

Hear From Our Students

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Frequently Asked Questions

Is this Data Analytics course suitable for someone without a technical background?

Yes, this course is structured for beginners, even those without prior technical knowledge. We start with foundational topics like data visualization, statistics, and basic programming, easing you into the field step-by-step.

Real-world projects and examples make concepts approachable, allowing you to build skills in a practical and engaging way. With support from instructors, you’ll quickly gain confidence as you progress through each module.

This setup ensures a smooth entry into data analytics, making it a great choice for career starters or changers.

Can I balance this Data Analytics course with a full-time job or college studies?

Will I have access to class recordings if I miss a session?

Does the institute offer an LMS for managing course resources and assignments?

What career opportunities can I expect after completing the Data Analytics course?

Can I revisit recorded sessions for exam preparation or topic review?