Data Scientist Career Path

Data Scientist Career Path#

Launch your data science career in 3-6 months with our comprehensive learning path. Build the statistical analysis and programming skills needed for modern data science roles.

📚 What You’ll Learn#

Build a complete data science skill set:

• Python Programming - Master the #1 language for data science
• Statistical Analysis - Understand distributions, correlations, and hypothesis testing
• NumPy & Pandas - Professional data manipulation and analysis
• Data Visualization - Communicate insights effectively
• Machine Learning Foundations - Understand core ML concepts (advanced path)
• Real-world Problem Solving - Apply skills to actual datasets

🗺️ Complete Curriculum#

Follow the same 5-module path as Data Analysts, with a focus on statistical thinking and analytical depth:

1. Python Basics (14 Lessons)#

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2. Python Advanced (14 Lessons)#

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3. NumPy Fundamentals (6 Lessons)#

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4. Pandas Data Analysis (21 Lessons)#

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5. Data Visualization (16 Lessons)#

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💼 Career Outcomes#

Target Roles#

• Data Scientist
• Machine Learning Engineer
• Research Analyst
• Quantitative Analyst
• AI Engineer (with additional ML training)

Skills You’ll Master#

✅ Python programming and scripting ✅ Statistical analysis and interpretation ✅ Data cleaning and preprocessing ✅ Exploratory data analysis (EDA) ✅ Data visualization and storytelling ✅ NumPy and Pandas expertise ✅ Problem-solving with data

🚀 Get Started#

Begin with Python Basics →

Or explore the full catalog to customize your path.

📈 What’s Next?#

After completing this path:

• Machine Learning - Build predictive models (coming soon)
• Deep Learning - Neural networks and AI (coming soon)
• Statistics & Probability - Advanced statistical methods (coming soon)
• Big Data Tools - Spark, Hadoop (coming soon)

Ready to start? Jump into Lesson 1 →