Data Science & AI for beginners

Data Science & AI for beginners

$298.00 every 4 weeks and a $20.00 sign-up fee

Start date:  9/20/2025 every Saturday   5:00-6:00pm PST （California time)

This is an online class,  20 classes/ level, 5 levels in total, one hour/ class, one class/ week

Buy our Python Text book (optional) from Amazon click here 

  • This enrollment is a new class from beginning level
  • This is a semi-private class which will have only 3-5 students. If you have any questions, feel free to send us an email or call us.
  • Class will be open only when at least 3 students signed up. otherwise it will be canceled.

Age：based on the real level

Please write the student’s name in the notes section. We will send information to both the parent and the student via email. When you check out, please include your child’s name, grade, and email address.

Cancellation Policy: 

  • If you do not send a cancellation email one month before the next payment is due, we will assume you agree to continue your child’s enrollment with us. Please be aware that we will not send a reminder email before the tuition is deducted (info@baycodingclub.com).
  • Please note that after the first week of class, cancellations are not permitted until the end of the first level ends
Category:

Overview:
This 5-Level program (100 classes total) takes middle and high school students on a journey from the basics of data analysis to advanced applications of artificial intelligence. Students build strong coding, math, and problem-solving skills while completing real-world projects.

Level 1: Foundations of Data Science

  • Learn Python for data analysis.

  • Explore statistics, probability, and data ethics.

  • Create simple visualizations with Pandas & Matplotlib.
    Project: Personal data tracking & survey analysis.

Level 2: Data Analysis & Visualization

  • Advanced Python & data wrangling with Pandas.

  • Statistical tests, correlations, and time series basics.

  • Create professional dashboards with Seaborn & Matplotlib.
    Projects: NBA stats dashboard, COVID-19 trend analysis.

Level 3: Introduction to Machine Learning

  • Supervised & unsupervised learning basics.

  • Build models: linear/logistic regression, decision trees, KNN.

  • Model evaluation: accuracy, precision, recall, F1-score.
    Projects: House price prediction, digit recognition.

Level 4: Deep Learning & Neural Networks

  • Neural networks with TensorFlow/Keras.

  • Image classification (CNNs) and NLP basics.

  • Sentiment analysis, simple chatbots, and bias in AI.
    Projects: Sentiment classifier, image recognition app.

Level 5: Advanced AI Applications & Ethics

  • AI in healthcare, education, finance, and robotics.

  • Advanced NLP (transformers), reinforcement learning.

  • Big data concepts & real-time AI applications.

  • Responsible AI: fairness, explainability, and ethics.
    Capstone Projects: AI recommender system, fake news detector, “AI for Good” initiative.

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