$3,000.00 USD

Data Scientist - Level 1

Start your journey into AI with Machine Learning — the foundation of Data Science. In just 3 months, you’ll learn how to analyze data, build predictive models, and uncover hidden patterns through real Kaggle projects.

What you’ll learn:

🧠 Month 1: ML Foundations – Master the data science toolkit, exploratory data analysis (EDA), and core ML algorithms.
Project: House Prices Prediction — predict home values using real-world data.
⚙️ Month 2: Classical ML Mastery – Improve your models using advanced ensemble methods and feature engineering.
Project: House Prices Prediction — Advanced Optimization.
📈 Month 3: Time Series & Unsupervised Learning – Forecast future sales and discover hidden structures in data.
Projects: Store Sales Forecasting, Credit Card Customer Segmentation.

Skills: Python, Pandas, Matplotlib, Scikit-learn, Time Series, Prophet, K-Means, PCA.
Guarantee: 100% money-back within the first 2 weeks if you’re not satisfied.

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📚 Course Overview

• Duration: 3 months

• Live Webinars: Twice a week (1–1.5 hours)

• Interview Prep & Mentorship: Weekly support starting Month 2

• Job Hunt Support: Ongoing until hired

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✅ What’s Included

• Step-by-step Online Video Curriculum

• Live Instruction & Q&A Webinars

• Build and deploy your own AI models

• Capstone Project to showcase to employers

• 24/7 Expert Support & Feedback

• Private Group Chat with Mentors

• Resume & LinkedIn Optimization

• Weekly Mock Interviews

• Lifetime Access to Alumni Community

• Access to course materials for 2 months after graduation

• Certificate of Graduation

What People Are Saying:

Perfect intro level. No fluff — just the core skills you actually need before going into ML. The exercises were fun and super practical

Kevin B.

This course finally helped me understand data from the ground up. Everything became clear — cleaning, analysis, visuals. I felt confident for the first time.”

Mariia

Amazing start to the ML path. This course gave me the exact foundation I was missing — finally understood how data really works.

Denis K.