Programming

Foundations of Data Science for Beginners

This beginner-friendly course introduces students in Grades 9 and 10 to the exciting world of data science. It provides a foundation in the concepts of data collection, analysis, and visualization, while also teaching the basics of Python programming in a fun and interactive way.

  • 4/5.0
  • 125 Students
  • Beginner
  • English
Course Description

This beginner-friendly course introduces students in Grades 9 and 10 to the exciting world of data science. It provides a foundation in the concepts of data collection, analysis, and visualization, while also teaching the basics of Python programming in a fun and interactive way.

What you’ll learn
  • Comprehensive Learning Path: Step-by-step guide to mastering topics.
  • Interactive Learning: Engage with quizzes, discussions, and activities.
  • Skill Development: Improve technical and soft skills.
  • Flexible Learning: Learn at your own pace.
  • Career Advancement: Equip yourself for job market success.
  • Networking Opportunities: Connect with professionals and experts.
  • Practical Tools and Resources: Access industry-standard tools and resources.
  • Ongoing Support: Get continuous feedback and assistance.
  • Hands-On Projects: Complete real-world projects and tasks.
  • Final Certification: Earn a recognized course certification.

Each course is designed with the highest quality standards to ensure you gain valuable knowledge and practical skills. Whether you're exploring new areas or deepening your expertise, our courses offer a comprehensive learning experience. With detailed explanations, real-world examples, and expert guidance, you'll be equipped to apply what you've learned immediately. Join us and unlock new opportunities for growth and success

What is Data Science?

Data in Everyday Life

Real-World Applications of Data Science

What is Data? Types of Data (Structured, Unstructured)

Data Collection and Sources

Introduction to Datasets

Introduction to Python Programming

Writing Simple Code: Variables, Functions, Loops

Using Libraries like Pandas and Numpy

Identifying Missing or Incorrect Data

Simple Data Cleaning Techniques

Sorting, Filtering, and Organizing Data

Why Visualization is Important

Creating Simple Charts: Bar Graphs, Line Charts, Pie Charts

Tools for Visualization: Matplotlib and Seaborn

Analyzing Trends and Relationships

Introduction to Basic Statistics: Mean, Median, Mode

Correlations and Cause-Effect Relationships

Importance of Privacy and Data Security

Bias in Data and Ethical Use of Information

How to Evaluate Data Sources

Selecting a Dataset (e.g., Sports, Movies, Environment, or Social Media)

Analyzing Data and Finding Insights

Creating Visualizations and Presenting the Findings

instructor-image

Anjali Gupta

About Instructor

Inspiring Learning, One Step at a Time As an educator, your dedication transforms students' lives. Our platform is designed to empower you with tools, resources, and a community that values your expertise. Share your knowledge, inspire curiosity, and help learners achieve their dreams. Together, we build a brighter future, one lesson at a time.

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This course includes

  • Lectures 20 Classes
  • Duration Hours
  • Skills Beginner
  • Language English
  • Certificate Yes

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