Data Academy - Master Data Skills

Popular Courses

🐍

Python for Data Science

Master Python programming and essential libraries like NumPy, Pandas, and Matplotlib for data analysis.

⏱ 8 weeks📚 Beginner

🤖

Machine Learning Fundamentals

Dive into supervised and unsupervised learning algorithms, model evaluation, and deployment strategies.

⏱ 12 weeks📚 Intermediate

📊

Data Visualization

Create compelling visualizations using Tableau, Power BI, and Python libraries to tell data stories.

⏱ 6 weeks📚 Beginner

💾

SQL & Database Design

Learn database fundamentals, advanced SQL queries, and optimization techniques for data professionals.

⏱ 8 weeks📚 Beginner

🧠

Deep Learning & Neural Networks

Explore CNNs, RNNs, and transformers using TensorFlow and PyTorch for cutting-edge AI applications.

⏱ 16 weeks📚 Advanced

📈

Statistical Analysis

Master statistical methods, hypothesis testing, and experimental design for data-driven decisions.

⏱ 10 weeks📚 Intermediate

Why Choose Data Academy?

🎓

Expert Instructors

Learn from industry professionals with years of real-world experience in data science and analytics.

💼

Career Support

Get personalized career guidance, resume reviews, and interview preparation to land your dream job.

🚀

Hands-On Projects

Build a portfolio of real-world projects that demonstrate your skills to potential employers.

🌐

Flexible Learning

Study at your own pace with 24/7 access to course materials, videos, and community support.

Meet the Founders

Maya Rivera

Co-Founder & CEO

Former Staff Data Scientist at Google and ML lead at Stripe. Maya has spent 12+ years turning raw data into business outcomes and is passionate about making rigorous data education accessible to everyone.

Google

Stripe

McKinsey

James Kim

Co-Founder & CTO

Ex-Principal Engineer at Meta and founding engineer at two YC-backed startups. James specialises in scalable ML infrastructure and has contributed to core open-source projects used by millions of developers worldwide.

Master Data Science & Analytics