Data Science Immersive

Course details

Learn the tools and techniques you need to make better decisions through data, and land a job in one of the most sought after fields in tech.

Learn From Experts

Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors.

Gain Hands-On Experience

Develop hard skills like Unix, Git, SQL, Python, machine learning, and modeling techniques while creating your own data projects and applications.

Get Hired

Take advantage of the growing demand for data and use the guidance and resources of our in-house career coaches to help you find work.

Career Guidance

Our Immersive students graduate ready to pursue careers in many different areas of the data profession—including data analysis, business intelligence, and data science.

We connect each of our Immersive graduates to a career coach, job-readiness training, employers and professionals, and new opportunities to hone skills.

Job & Career Coaching

• Optimize your resume with support from an in- house career coach. 
• Train for technical interviews and salary negotiations.

Connections to Resources

• Visit local companies and organizations that focus heavily on data.
• Participate in expert panel discussions.

Networking Opportunities

• Engage with our global network of companies.
• Showcase your work at Meet & Hires and other events.

Syllabus

• In this program, you'll take on real world problems by analyzing data sets for insights and presenting findings using statistics, programming, data modeling, and business knowledge.

Git, UNIX, & Relational Databases

Gather, store, and organize your data using your basic data science toolkit: SQL, Git, and UNIX.

Data Analysis & Python

Perform visual and statistical analysis on data using Python and its associated libraries and tools.

Machine Learning, Modeling Techniques, & Big Data

Explore the differences between supervised and unsupervised learning through the application of various modeling techniques such as classification, regression, and clustering.

Critical Thinking & Synthesis

Apply your analysis and modeling skills to real world data problems in fields like finance, marketing, and public policy.

Visualization, Presentation, & Reporting

Learn to create reproducible presentations and reports and use data visualisation tools to present your findings to key stakeholders.