- Course fee
- No-Cost
- Course level
- Foundational
- Length
- 9 weeks
- Training hours
- 25
- Prerequisites
- Must be a Per Scholas Alumnus
Course Overview
In today's digital economy, data analysts play a critical role in decoding complex information to drive strategic business decisions. The beginner-friendly, asynchronous Data Analyst Core (UCI 3046) program empowers you to collect, clean, manage, and analyze data using industry-standard methodologies. You will build the analytical framework necessary to uncover hidden trends, solve real-world business problems, and visualize your results to successfully communicate actionable insights to key stakeholders.
Beyond traditional analysis, this course takes you on a deep dive into the future of data science. You will explore how artificial intelligence makes predictions, processes language and images, and utilizes neural networks inspired by the human brain. Through dynamic, hands-on simulations, you will actually build and test your own machine learning model, culminating in expert guidance on how to navigate the job market and accelerate your career in artificial intelligence and data science.
Additional Info
Technical Skills & Course Objectives
- By the end of the Data Analyst Core (UCI 3046) course, you will be able to:
- Articulate fundamental data concepts, including big data structures, advanced analytics techniques, and the standard lifecycle of a modern data science project.
- Differentiate the specialized roles, applications, and responsibilities of data analysts, data scientists, and data engineers across global industries.
- Clean, refine, and visualize complex datasets utilizing IBM Watson Studio and its dedicated data refinery tool.
- Build dynamic pivot tables and pivot graphs in Excel to efficiently summarize and interpret large volumes of business data.
- Create and customize a comprehensive array of advanced statistical charts—including Histograms, KDE plots, Violinplots, Boxplots, Scatter Plots, and Heatmaps—using Python's Seaborn library.
- Manage advanced Matplotlib Artists (such as Legends, Annotations, Patches, and Collections) to expertly customize data visualizations of any complexity.
- Execute the iterative Tableau Desktop workflow to seamlessly connect to, analyze, and share your critical data insights.
| Starts | Apply by | Ends | Weeks |
|---|---|---|---|
| Oct 12, 2026 | Oct 6, 2026 | Dec 4, 2026 | 9 |
| Nov 16, 2026 | Nov 2, 2026 | Jan 15, 2027 | 9 |