The best data science class for kids
Learn the basic principles of data science, get introduced to data structures and data analysis, and start using artificial intelligence, machine learning, neural networks.
What you’ll learn
Principles of data science
Data structures in Python
Data analysis, visualization
Statistics, probability
Hypothesis testing
Artificial intelligence
Machine learning
Deep learning
Skills you’ll gain
Data science principles
Analytical thinking
Mathematical thinking
Python, SQL
HTML, CSS, Flask
AI, ML programming
What you’ll achieve
Data Science Certificate
Lifetime community access
Downloadable resources
Exclusive access to competitions
Learn data science from experienced teachers. Our hand-picked coding tutors ensure the best learning experience
🎓 300+
Graduate IT Instructors from India
👨💻 7+
Years coding experience
👩 91%
Female teachers
💻 10+
Coding languages
With Codingal Prime, your child gets private tutoring from best instructors
Unlock your skills and earn your Data Science certification
In this specialized Data Science course, learners in grades 9 to 12 earn STEM.org-certified game development coding certificates that celebrate their achievements while unlocking special badges and leaderboard rankings, making programming for kids a fun and rewarding experience. Students can earn the Data Analyst, SQL Developer, Young Data Scientist, Young AI Programmer, Advanced AI Programmer, and Expert AI Programmer certificates. These certifications are easy to download and share, STEM.org accredited, and can be added to your child's learning portfolio for sharing with the world and on social media.
Activities and lessons to put the fun back in data science
Calculator
Create your own calculator app where users can add, substract, multiply or divide any two numbers
Tic-tac-toe
Create your own digital version of the classic paper-and-pencil game and share it with your friends.
Snakes and ladders
Write a program for the snakes and ladder game that can generate random numbers as if the players were rolling a dice.
STEM.org Accredited Educational Experience and Certificates
What is STEM.org?
STEM.org Educational Research (SER) is the longest continually operating STEM education research and credentialing organization that has served over 4,500 schools, districts, and organizations in over 25 countries.
Who gets STEM.org Accreditation?
The STEM.org Accreditation is awarded to institutions that develop 21st century skills, have an original curriculum revolving around STEM, adequately incorporate technology into classes, and offer hands-on STEM-based activities.
What does STEM.org Accreditation mean?
STEM.org Accreditation is awarded by STEM.org Educational Research (SER) after thoroughly examining and evaluating the educational institution’s curriculum, teachers, and courses for efficiency, effectiveness, and quality.
Our Data Science Course is Appropriate for High School Students
Our Data Science course is suitable for high school students in grades 9 to 12. This course covers data science principles and concepts such as data structures in Python, data analysis, visualization, statistics, probability, hypothesis testing, artificial intelligence, machine learning, and deep learning.
Codingal supports kids ages 6 to 18 in grades K to 12 by providing engaging and comprehensive coding education that fosters creativity and critical thinking skills.
The Best Place for Kids to Learn Data Science Basics and Fundamentals
Codingal is the best coding school for kids and teens, offering a gamified learning experience and hand-picked expert teachers who assist them on their journey in data science. Kids start by learning Python fundamentals, the foundational language for data science. Students also learn libraries like Pandas and NumPy for data manipulation, cleaning, and analysis, which are essential for machine learning and deep learning. Next, students explore data visualization using libraries like Matplotlib and Seaborn. They dive deep into machine learning and create real-world projects such as house rent prediction, chatbots, and recommendation engines. Lastly, students expand their knowledge of deep learning by studying topics like neural networks and computer vision, which are key areas of artificial intelligence.
What students and parents have to say about our training program and curriculum.
Dhairya Sharma
India
Grade 11, Codingal Student
Data science course has helped me improve my analytical and logical skills.
J.D sharma
Service
Codingal Parent
My child has not only learned data science concepts but also developed his analytical skills.
Tassawar
Pakistan
Grade 12, Codingal Student
Codingal's data science course has made me curious and involved in concepts of AI and Machine learning.
Razzaq Ahmed
IT Manager
Codingal Parent
Codingal has made my child excited to learn data science in depth.
Surya Pratap
India
Grade 10, Codingal Student
I recently enrolled for this course after my exams and I love how my teacher makes it interesting and fun to learn data sicence.
Kiran Shekhawat
Business
Codingal Parent
Codingal's competitions provide a very good practice and learning experience to my child.
Nishika
India
Grade 12, Codingal Student
I always wait excitedly to attend my Codingal class after school. I enjoy learning data science a lot.
Urvashi
Housewife
Codingal Parent
My child eagerly waits to learn from her coding teacher who makes learning interactive and fun.
Frequently Asked Questions
What is data science?
Data science is the study of data.
It encompasses using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Data science involves preparing data for analysis and processing, performing advanced data analysis, and presenting the results to reveal patterns and enable stakeholders to draw informed conclusions.
Teaching kids data science will help them learn the basic principles of data science, data structures, and data analysis and help them get started with using artificial intelligence (AI), machine learning (ML), and neural networks.
Is data science hard for kids?
Not at all. In fact, learning data science has never been easier.
If you want to teach data science to your child, there are hundreds of ways to get started.
You can take advantage of free online resources or sign up for a data science course for kids.
Codingal offers data science courses for kids to introduce children to the basics of data science at an early age.
Our data science courses for kids offer extensive training in data science practices while improving their logical, analytical, creative, and problem-solving skills.
What are the benefits of teaching data science to kids?
Improves analytical, problem-solving skills: Data science a multidisciplinary field that has its roots in logic, statistics, math, and computer science. Teaching data science to kids is proven to improve their analytical, logical, and problem-solving skills.
Offers lots of career opportunities in the future: Data science is in demand and data scientists have numerous opportunities. Data science is predicted to create 11.5 million jobs by 2026 making it a highly employable job sector.
Data science pays great: Data science is one of the most highly paid jobs and data scientists make over $100,000 per year on average. Data science not only offers you great career opportunities, it also helps you in personal growth by inculcating problem-solving and analytical skills that are applicable in any professional setting.
What are the outcomes of learning data science?
By learning data science, you will be able to obtain, clean/process, and transform data. Analyze and interpret data using an ethically responsible approach. Use appropriate models of analysis, assess the quality of data, derive insights, and investigate potential issues.
You will also learn to apply computing theory, languages, and algorithms, as well as mathematical and statistical models, and the principles of optimization to appropriately formulate and use data analyses.
You will be able to formulate and use appropriate models of data analysis to find solutions to business-related challenges.
Codingal’s data science course for kids teaches students to:
- Develop the relevant programming abilities.
- Demonstrate proficiency with statistical analysis of data.
- Learn Python and work with data using Python
- Execute statistical analyses with professional statistical software.
- Demonstrate skill in data management.
- Apply data science concepts and methods to solve problems in real-world contexts.
What are the career pathways for data science?
The career pathways within data science are wide-ranging and have applications across industries.
Beyond the traditional titles such as data engineer, data analyst, and data scientist, data scientists can leverage their skills and expertise in diverse industries including finance, marketing, IT, technology, accounting, and operations, among many more.
At what age should kids learn data science?
Data science is ideal for kids who are in their teens. This is an ideal age to start learning data science to help your child get accustomed to working with data and to start thinking analytically.
Codingal offers data science courses for kids in grades 9 to 12 to teach them the basic concepts of data science and to help them develop key skills at an early age.
Why should kids learn data science?
Data science is proven to improve analytical, logical and problem-solving skills in kids. Teaching your child data science will not only prepare them for the future but also improve their performance at school when it comes to math and science.
Your child will also learn a new language: Python. Python is a versatile coding language with applications in many areas including data science. Your child will learn to work with data using Python.
Data science also offers lots of career opportunities and is predicted to create 11.5 million jobs by 2026. Data science is one of the most highly paid jobs and data scientists make over $100,000 per year on average.
Data science not only offers you great career opportunities, it also helps you in personal growth by inculcating problem-solving and analytical skills that are applicable in any professional setting.
Codingal’s Data Science course introduces children to data science in the most engaging and effective way, and prepare them for the data-driven future.
How do you explain data science to a child?
You can easily explain data science to your child by using the following methodology.
Tell the child that data science is mainly use to improve decision making.
Tell your child that data science involves three main steps. First, data is collected, then we analyze the data for trends and patterns, and then we make decisions based on the data.
Data can be collected using code from databases or by conducting surveys. Coding used for data collection can be vital in finding the right information.
Once the data has been collected, it is important to visualize the data so the patterns can be analyzed in the data to make decisions.
Finally, data scientists can recognize the trends and patterns in the data using various visualizations and to make better decisions.
Which data science course is best for kids?
Codingal offers the most comprehensive data science courses for grade 9-12 students. Our data science course for kids is fully tailored to match your child’s learning style and pace.
Our data science course helps kids learn the basic principles of data science, introduces them to data structures and data analysis, and helps them get started with using artificial intelligence, machine learning, neural networks.
Sounds interesting? You can book a free class with an expert data science teacher right away.