OVERVIEW

Key Program Details

<aside> 📅 8-12 months to complete

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<aside> ⏰ Minimum 15 hours per week

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<aside> 📖 Core program: 3 modules

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<aside> 👉 Optional part: 2 specialization modules

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<aside> 📚 15 projects

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<aside> ➡️ Requirements:

• Advanced English skills </aside>

<aside> 🛠 Tools learned:

• Python
• Pandas
• NumPy
• Pyspark
• SQL
• Matplotlib
• Seaborn
• Plotly
• Tableau/Looker Studio
• Statsmodels
• Scipy
• Scikit-Learn
• XGBoost
• PyTorch
• Docker </aside>

The Skills You’ll Learn

• Build a comprehensive understanding of Python and essential data processing tools like NumPy and Pandas
• Master statistical inference, including probability, A/B tests, and causal inference
• Develop proficiency in machine learning, covering models such as KNNs, decision trees, and neural networks
• Specialize in computer vision or LLM engineering, applying skills to real-world projects
• Translate data insights into impactful business solutions through data storytelling

Our Learning Methodology

• Go through a curated online curriculum to gain a deep understanding of industry best practices
• Constantly apply your newly gained skills through practical projects and get feedback in expert and peer reviews
• Review your peers’s work to consolidate your knowledge and see different approaches
• Dive deeper into topics and specializations by choosing one of two optional modules
• Showcase your expertise through multiple capstone projects and portfolio that you can share with potential employers

Guidance and Support