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Data Analytics - Batch 1
Start Date: March 15, 2025
Data Analytics
2000
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IT & Software Data Science & Analytics

Data Analytics - Batch 1

Unlock the power of data to drive business decisions and boost profits. Transform your analytical skills into actionable insights for real-world success.

New
English
All levels
Batch Size: 20 Students
Created by Anil Pradhan
Start Date: March 15, 2025

Course Overview

Unlock the power of data in today's digital landscape with our comprehensive Data Analytics course! 📊✨ Designed for all levels, this course caters to:

  • 🔍 Beginners: Gain foundational knowledge in data analytics, regardless of your prior experience or educational background.
  • 💼 Professionals: Enhance your skill set and learn to leverage data-driven decision-making in your current roles.
  • 🎓 Students & Recent Graduates: Explore career opportunities in data analytics and related fields through practical insights and hands-on projects.
  • 👔 Business Leaders & Managers: Understand key data analytics concepts to effectively guide your teams and make informed strategic decisions.

Throughout this course, you will:

  • 📈 Learn essential data analytics techniques and tools, including data visualization, statistical analysis, and predictive modeling.
  • 🛠️ Gain hands-on experience with popular analytics software and programming languages such as Excel, Python, and R.
  • 🌐 Understand the importance of data ethics and privacy in the analytics process.
  • 🤝 Collaborate on real-world projects to apply your skills and build a portfolio that showcases your expertise.

Join us on this exciting journey to become a data-savvy professional! Whether you are looking to start a new career, enhance your current role, or lead your organization with data-driven insights, this course is the perfect stepping stone. 🚀

Course Features

2 Years Portal Access
Community Group Chat
Live Sessions
Practice Assignments
Regular Quizzes
Completion Certificate

Whom is this course for?

  • Individuals seeking to gain foundational knowledge in data analytics, regardless of their prior experience or educational background.
  • Professionals looking to enhance their skill set and leverage data-driven decision-making in their current roles.
  • Students and recent graduates interested in pursuing a career in data analytics or related fields.
  • Business leaders and managers who want to understand data analytics concepts to better guide their teams and make informed strategic decisions.

Course Modules

Introduction Basics
Data Exploration
Statistical Analysis
Visualization Techniques
Predictive Modeling
Data Mining
Machine Learning
Ethical Considerations

Detailed Syllabus

Week 1: Introduction Basics
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Week 2: Data Exploration
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Week 3: Statistical Analysis
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Week 4: Visualization Techniques
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Week 5: Predictive Modeling
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Week 6: Data Mining
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Week 7: Machine Learning
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Week 8: Model Evaluation and Validation
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Week 9: Advanced Machine Learning
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Week 10: Big Data Technologies
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Week 11: Data Ethics
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Week 12: Data Governance
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Week 13: Real-world Applications
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Week 14: Tools and Technologies
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Week 15: Capstone Project Preparation
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Week 16: Capstone Project Presentations
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Class Schedule (IST)

  • Saturday: 20:00 - 22:00
  • Duration: 4 Months
    Total Hours: 35 hours
    Anil Pradhan

    Anil Pradhan

    any personal contact information. Hello there! 👋 I'm Anil Pradhan, a proud holder of a BSc in Computer Science which I accomplished in 2017. 🎓 With three years of professional work experience under my belt, I've acquired a wealth of practical knowledge and expertise. 💼🚀 Although I can't share specific details about the role and company I worked for, I can assure you that the experiences I had during those years were remarkable and filled with learning. 📈 In addition to my work experience, I also have two years of teaching experience. 🏫🍎 While I can't disclose the exact subject I taught, I can tell you that it has empowered me with the ability to explain complex concepts in a simple, easy-to-understand manner. 📚 I'm here to share my knowledge and experiences with you all on this amazing course-selling platform. 📝💻 I believe learning is a lifelong process and I'm excited to be part of your learning journey. Let's create, explore, and evolve together! 🚀🌍 Note: All my courses are designed to provide you with practical knowledge and skills, so buckle up and get ready for an amazing learning experience! 🎯🎉


    Highest Education

    Bsc

    Bsc Computer Science

    Completion year: 2017


    Work Experience

    Na

    Na


    Teaching Experience

    Na


    2000
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    Data Analytics