Learn how to manipulate databases and perform data analysis in this beginner-friendly program, equipping you with the skills employers seek in data science and Python engineering roles. Data science careers regularly rank among today's best and highest-paying jobs.
- Learn Programming Fundamentals: Learn Python programming fundamentals and how to use its main data science libraries to analyze data. Read and write complex database queries, prepare and clean data for analysis, and use Python to automate everyday tasks such as aggregating, updating, and formatting data.
- Create Machine Learning Models: Use your data to build machine learning models and evaluate their performance. Clean and balance your data with Pandas, apply machine learning algorithms with the scikit-learn library to solve real-world problems, and analyze the results to detect areas for improvement.
- Make Dashboards & Visualizations: Build and present dynamic dashboards and other data visualizations. Learn to use Python's major plotting and dashboard libraries, Matplotlib, Seaborn, Plotly, and Dash Enterprise. Deploy your projects online with GitHub to demonstrate your analytical abilities to employers.
- Industry-Aligned Projects & Mentorship: Throughout the program, you'll work on real-world projects that align with industry standards and receive 1-on-1 mentoring to refine your skills, get feedback on your work, and prepare for job interviews. This hands-on experience ensures you're ready to transition into a data science career.