Data and Decisions: The Building Blocks of Intelligent Systems

Unlock the logic behind smart machines! Discover how everyday devices like thermostats and traffic lights use simple data and rules to make decisions—no coding or complex tech required. Perfect for curious beginners.

4.5/5
1000+ Students
Beginner
18 Classes (6 weeks)
Available Coaching Centers:
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School

₹ 245/class

₹ 546/class

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Course Description

Discover how everyday machines make smart decisions—without complex code or AI. This beginner-friendly course breaks down how systems like calculators, thermostats, and traffic lights use simple rules, data, and logic to operate intelligently.

Perfect for students, curious learners, and educators, you’ll learn how structured steps and organized information form the foundation of all intelligent systems—no tech background needed!

What You’ll Learn:

  • How data guides machines in making clear, consistent decisions
  • The essential role of rules and logic in automated systems
  • How to structure information to drive intelligent outcomes
  • The process machines use to follow instructions step by step
  • Real-world applications of rule-based technology (like thermostats and traffic lights)
  • How to visualize and design decision paths using flowcharts and checklists

Who Should Take This Course:

  • Students new to technology or computer science
  • curious minds interested in how everyday machines work
  • Educators and parents looking to teach foundational tech concepts
  • Professionals seeking a clearer understanding of system design basics

No prior experience in programming or advanced math is required—just bring your curiosity!

By the end of this course, you’ll see the world of technology differently—recognising the elegant logic and data-driven decisions happening all around you, every day.

Build a solid understanding of how smart systems work—Enroll Today!

*What is data and where does it come from?
*Types of data: numbers, words, images
*How data is collected (e.g., weather, sales, sensors)
*Storing and organizing data (like using folders)

*What are rules?
*How machines follow instructions
*If-Then statements explained simply
*Real-life rule-based tools (like traffic lights or calculators)

*How machines make choices
*Flowcharts: drawing out the decision path
*Yes-No logic (binary choices)
*Examples of step-by-step decisions (like a washing machine cycle)

*Data we see around us: school, shopping, weather
*Patterns in data (like attendance or daily temperature)
*How businesses and machines use this data
*Fun examples (like how a vending machine “knows” what to give)

*Tools that seem smart but don’t use AI
*Thermostats, microwave timers, calculators
*How they use rules and data to “think”
*Understanding smart, organized logic, not intelligence

*What happens when data is wrong?
*Limits of rule-based systems
*Why simple systems can’t “learn”
*How wrong rules lead to bad decisions

Aviral-N-Educator

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An educator from the Department of Information Technology (IT) plays a crucial role in shaping the next generation of professionals in a rapidly evolving and dynamic field. These educators are responsible for not just imparting knowledge but also inspiring students to think critically, innovate, and apply their skills in real-world scenarios. Below is a general overview of the role and responsibilities of an IT educator:

Nitil Singh

Edtech Mentor and Web Developer !
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  • 4.9 Instructor Rating
  • 900+ Reviews
  • 1000+ Students
  • 20+ Courses

I am an enthusiastic educator with 3+ year of experience teaching Robotics, STEM and Automation. I specialize in simplifying complex technical concepts, making them engaging and accessible for learners of all backgrounds. My classes blend theory with hands-on projects, helping students understand how robotics shape the world around us. 

Passionate about fostering curiosity and innovation, I am committed to inspiring the next generation of creators and problem-solvers through practical learning and interactive teaching methods.

Educational Qualification - B.Tech - Computer Science Engineering (CSE)

Experience - 3+ Year in Education-Technology (EdTech) and Web Development.

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Master Analytics

School

₹ 245/class

₹ 546/class

Any Query?

Course Includes
Lectures
18 Classes
Duration
6 weeks
Level
Beginner
Language
English
Certificate
Yes
Available Coaching Centers:
No coaching centers found in this location. Please try another area.
Course Includes
Lectures
10 Classes
Duration
N/A Hours
Level
Beginner
Language
English
Certificate
Yes

What you need/Requirement

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Internet

You need a working internet connection to watch videos, join online classes, and get help when needed.

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Laptop/PC

A personal computer is essential for hands-on practice and project work.

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Browser

A web browser like Chrome or Firefox is needed to open learning websites and access course content online.

Learning Path

Beginner

Start with fundamental concepts and build a strong foundation.

Intermediate

Expand your knowledge and start building real projects.

Advanced

Dive deep into specialized areas and master complex techniques.

Master

Achieve expert-level proficiency and innovate with your skills.

CERTIFICATION

Earn Valuable Credentials
and Lead with a Competitive Edge.

🛡️

Certificate and Recognition That Validates Your Skills

Our curriculum is meticulously designed in collaboration with industry leaders to ensure every skill you acquire is not just current, but in high demand.

🔗

Get Mentorship From Top 1 % Industry Experts

Our mentors are seasoned professionals and thought leaders who provide unparalleled guidance and personalized feedback.

🧑‍🎓

Network For Lifelong Success

Our vibrant community of professionals offers continuous support, mentorship, and a platform for lifelong career acceleration.

Certificate

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Unlock the Power of Data
Harnessing data for strategic insights and intelligent decision-making.
1
Grasp the Fundamentals
Begin by understanding what data is, how it's collected, and its crucial role in modern decision-making. Learn the key principles that transform raw data into valuable business intelligence.
2
Analyze for Insights
Dive into the core techniques for data analysis. You'll work with real datasets to explore, visualize, and model data, learning how to uncover hidden patterns and trends that inform strategic choices.
3
Drive Intelligent Decisions
Learn to translate analytical insights into actionable strategies and intelligent systems. You will build decision-making frameworks, evaluate outcomes, and present your findings to stakeholders, earning your certificate in data-driven decision-making.
Book a free Demo
Transform Data into Decisions in 6 Steps
01
Understand the Power of Data
The journey begins by exploring the fundamental question: "What is data?" In this first stage, you'll learn about the data lifecycle and understand why data is the most valuable asset for modern business intelligence.
02
Mastering Data Collection & Preparation
Guided by practical exercises, you will learn the essential skills of gathering and cleaning data. You'll practice techniques for data wrangling and preprocessing to ensure your information is accurate and ready for analysis.
03
Uncovering Insights Through Analysis
Once your data is clean, the focus shifts to analysis. You'll be introduced to how statistical methods and visualization tools can uncover hidden patterns, trends, and correlations within complex datasets.
04
Building Data-Driven Decision Models
This is where learning turns into application. Using the skills from previous steps, you'll build your first decision-making frameworks and apply basic predictive modeling to real-world business scenarios.
05
Communicate & Visualize Your Findings
Learning is better when it drives action. In this stage, you'll learn to translate complex findings into clear, compelling narratives and visualizations, and discuss the ethical implications of data usage.
06
Become a Data-Driven Leader
After completing all sessions, you'll have mastered the core concepts and be comfortable using data to formulate strategies, solve complex problems, and lead your organization toward intelligent decisions.
What Makes This Course Special?
From raw data to strategic insights with expert-led training
Personalised learning
Live Instructor-Led Sessions
Personalised learning
Real-World Case Studies
Personalised learning
Practical Data Analysis Tools
Personalised learning
Strategic Decision Frameworks
Personalised learning
Hands-On Business Scenarios
Personalised learning
1-on-1 Expert Mentorship

FAQs on Data and Decisions: The Building Blocks of Intelligent Systems

Program pages typically list a clear duration (weeks or months) and learning hours; many certificate programs are flexible and self paced with structured milestones or live components depending on the course.

The course includes both live and recorded sessions. Recorded lessons provide flexible, self-paced learning, while scheduled live classes enable real-time interaction, Q&A, and guided activities.

Decision processes often follow stages—intelligence (understand), design (model options), choice (select), and implementation (act)—which the course maps to data practices.

Yes. Use the Break & Resume option to pause anytime and continue exactly where progress was left off, including lessons, quizzes, and assignments as per the policy.

The enrolled course will reflect on the personal Dashboard, where it can be accessed anytime after login. Go to Dashboard → My Courses; the latest enrollment appears at the top, with progress, resume and many other options.