Choose Your Learning Path
Structured paths to guide your data science journey
Data Analyst
- Build essential skills in data analysis and statistics
- Learn practical techniques for cleaning and organizing data
- Gain proficiency in SQL for efficient querying and database management
- Develop interactive visualizations with Excel, Python, R, Tableau, and Power BI
- Apply predictive modeling and statistical techniques to real-world scenarios
- Showcase your skills through a hands-on capstone project
Data Scientist
- Master foundational skills in data science and machine learning.
- Develop expertise in Python for data manipulation, visualization, and advanced analytics.
- Learn effective techniques for cleaning, preparing, and engineering data for analysis.
- Build predictive models and evaluate performance using real-world datasets.
- Gain hands-on experience deploying models in real-world applications.
- Showcase your skills through a hands-on capstone project.
Data Engineer
- Master essential skills in designing and managing scalable data infrastructure.
- Gain expertise in data modeling, database management systems, and data warehousing solutions.
- Build and optimize data pipelines for batch and real-time processing.
- Develop proficiency with big data frameworks like Hadoop, Apache Spark, and Kafka.
- Leverage cloud platforms such as AWS, GCP, and Azure for data engineering.
- Showcase your skills through a hands-on capstone project.