Pyhthon 101 for Data Science
This beginner-friendly course teaches Python basics, data structures, and key libraries like NumPy and pandas. By the end, students can write scripts and handle datasets confidently.
Data Science 101
This course introduces learners to the full data lifecycle, from data collection and cleaning to analysis and visualization. Students gain foundational statistical knowledge to interpret datasets and draw insights.
Data Science Methodology
This course guides students through business understanding, data preparation, modeling, evaluation, and reporting. By completing a mini-project, learners apply the full methodology to real-world problems.
Data Science Tools
Students learn to work with notebooks, version control, query databases, and create visualizations. A mini-project integrates these tools to fetch, clean, and visualize a dataset effectively.
Data Visualization with Python
Students explore Matplotlib, Seaborn, and Plotly to build effective charts and interactive dashboards. The course emphasizes storytelling with data and culminates in a final visualization project.
Data Analysis with Python
This intermediate course teaches filtering, aggregation, handling missing and categorical data, and numerical operations with NumPy. Students perform exploratory data analysis and summarize insights through a mini-project.