Data Science Roadmap
Master data science and machine learning to analyze data, build predictive models, and derive meaningful insights from complex datasets.
What You'll Learn
- Data analysis and statistical methods
- Machine learning algorithms and applications
- Data visualization and storytelling
- Big data technologies and tools
- Deep learning and neural networks
Prerequisites
- Python programming fundamentals
- Basic statistics knowledge
- Linear algebra basics
- Command line familiarity
Learning Path Structure
- Data Science Foundations (8-10 weeks)
- Machine Learning & Advanced Analytics (10-12 weeks)
- Deep Learning & Specialized Topics (8-10 weeks)
Data Science Foundations
Master the core concepts and tools needed for data science and analysis.
Python for Data Science
- Data Analysis Libraries
- NumPy for numerical computing
- Pandas for data manipulation
- Matplotlib and Seaborn for visualization
- Jupyter notebooks for analysis
- Data Preprocessing
- Data cleaning techniques
- Feature engineering
- Data transformation
- Handling missing values
- Statistical Analysis
- Descriptive statistics
- Inferential statistics
- Hypothesis testing
- Probability distributions
Data Visualization
- Visualization Techniques
- Statistical plots
- Interactive visualizations
- Dashboards with Plotly
- Storytelling with data
- Advanced Visualization
- Geographic data visualization
- Network graphs
- Time series visualization
- Custom visualization tools
SQL and Databases
- Database Fundamentals
- SQL querying
- Database design
- Data extraction
- Database optimization
Foundation Projects
- Exploratory data analysis project
- Statistical analysis report
- Interactive dashboard creation
- Database integration project
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Frequently Asked Questions
How should I follow this roadmap?
Start from the beginning and progress through each section sequentially. Each section builds upon knowledge from previous ones, so it's important to follow them in order for the best learning experience.
How long will it take to complete?
Completion time varies based on your prior experience and how much time you can dedicate to learning. On average, individuals spend between 3-6 months to complete this roadmap when studying part-time.
Are the resources recommended in the roadmap free?
We include a mix of free and paid resources. Many of the documentation and tutorial resources are completely free, while some of the more comprehensive courses may require payment. We always try to include free alternatives where possible.