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Advanced Data Analytics Projects

Why Learn? Learn to analyze and visualize data using Excel, Python, and Power BI.

Career Benefit: Gain analytics skills to make smarter, data-driven business decisions.

Course Curriculum

BY Dr. Sandeep Srivastava

Unlock your potential in data analytics

| LANGUAGE : Hinglish

Description:

This course is designed to help you kickstart your career in the field of data analytics. You will learn essential data analysis skills and techniques to succeed in this rapidly growing industry. From data visualization to statistical analysis, this course covers everything you need to know to excel in data analytics roles.

Key Highlights:

  • Essential data analysis skills
  • Data visualization techniques
  • Statistical analysis methods

What you will learn:

  • Master Data Analysis
    Learn how to analyze and interpret data effectively
  • Data Visualization Proficiency
    Develop skills to create impactful visualizations
  • Statistical Analysis Expertise
    Gain proficiency in using statistics for data analysis

Pricing Plans

Choose the right plan that works for you. No hidden fees.

4200

EXCLUSIVE PROJECT

  • ✅ Complete Learning Resources
  • ✅ Interactive Live Sessions
  • ✅ Hands-On Real Project
  • ✅ Project Documentation Pack
  • ✅ Step-by-Step Video Tutorials
  • ✅ 1-on-1 Mentor Support
  • ✅ Practical Assignments
  • ✅ Knowledge Checks & Quizzes

998

SELF-Pace MODE

  • ✅ Complete Learning Resources
  • ❌ Interactive Live Sessions
  • ❌ Hands-On Real Project
  • ❌ Project Documentation Pack
  • ❌ Step-by-Step Video Tutorials
  • ❌ 1-on-1 Mentor Support
  • ❌ Practical Assignments
  • ❌ Knowledge Checks & Quizzes

COURSE MODES

AVAILABLE Mode

The program mentioned here is solely for the purpose of LIVE Training Mode. If you are looking for Industrial Training, Certifications, Premium Courses, Vocational Courses, or Workshops, please contact us at +91-80-9042-9042 or visit Contact Us .

FEATURED PROJECTS

Sales Dashboard Analysis

Create an interactive sales dashboard using Excel, SQL, and Power BI. Analyze sales trends, visualize KPIs, and generate actionable insights for business decision-making.

Customer Segmentation with Python

Use Python and machine learning techniques to segment customers based on behavior and demographics. Learn data cleaning, clustering, and visualization to provide business insights.

Why Choose Us

Lifetime Access

Develop self-awareness, overcome limiting beliefs, and build confidence in your ability to achieve

Structured Learning

Our curriculum is designed by experts to make sure you get the best learning experience.

Community & Networking

Interact and network with like-minded folks from various backgrounds in exclusive chat groups.

Learn with the Best

Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups

Practice Test

With the quizzes and live tests practice what you learned, and track your class performance.

Get Certified

Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click..

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FAQs

What is the difference between Build, Launch, and Integrate programs?

✅ Build focuses on foundational software skills with a simpler project.
✅ Launch is for complex, industry-level projects with advanced features.
✅ Integrate is similar to Launch but focuses on projects integrating APIs and real-world platforms (e.g. Google Maps, OpenAI).

How many live classes are included?

✅ Build: 10–11 live classes
✅ Launch: 13–14 live classes
✅ Integrate: 13–14 live classes

When do I get my live project?

✅ Your live project is unlocked after ~50% of modules are completed:

  • Build: After ~6 modules
  • Launch: After ~8 modules
  • Integrate: After ~8 modules


Course Feedback

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HOW IT WORKS

Enrol

Join the course and start building your foundation in data analytics, from data collection to visualization.

Learn

Master tools like Excel, Python, SQL, and Power BI to clean, analyze, and interpret data effectively for real-world projects.

Analyze

Apply your skills to real datasets, generate insights, and make data-driven recommendations that solve business problems.

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