TECHNOLOGY & DATA
VISUALIZATION BOOTCAMP
Online Data Analytics & Visualization Bootcamp
Master High-Demand Data Tools and Earn Industry Credentials in 10-18 Weeks
Overview
With data driving modern business operations, the U.S. Bureau of Labor Statistics projects employment of data analysts and operations research analysts will grow 23% by 2032. Hofstra University's 100% online Data Analytics and Visualization Bootcamp prepares you to translate complex data sets into actionable business intelligence.
This program is designed for beginners and career-changers looking for a pathway into data analysis. Throughout the course, you will learn the end-to-end data analytics workflow, from data collection and cleaning to storytelling and interactive dashboards. You'll gain hands-on practice in SQL, advanced Excel, Python, Power BI, and Microsoft Fabric in a secure, web-hosted sandbox environment.
The bootcamp includes dedicated certification preparation for the Microsoft Power BI Data Analyst (PL-300) credential. All PL-300 course materials, exam prep, and the official certification exam voucher are included in the tuition cost (saving you $2,465).
Choose Your Learning Track
Part-Time Track
Duration: 18 Weeks
Commitment: 20-25 hours per week
Structure: Async learning modules paired with live sessions 2x weekly. Flexible schedule for working professionals.
$8,900
Full-Time Track
Duration: 10 Weeks
Commitment: 35-40 hours weekly sessions + 10 hours independent work
Structure: Live online instructor-led sessions Monday-Friday. Comprehensive rapid immersion.
$12,000
Syllabus & Course Curriculum
- End-to-end data analytics workflow (collection, cleaning, discovery, modeling)
- Exploratory data analysis and visualization principles
- Leverage Generative AI and prompt engineering for data analysis tasks
- Excel formulas, logical functions, lookup tasks, and Pivot Tables
- Interactive dashboards, formatting, and data visualization in Excel
- Using AI-powered features in Excel for predictive modeling
- Career Simulation 1: Perform exploratory analysis on complex Excel business data and write a findings dashboard.
- Build structured data models and relations in Power BI Desktop
- Write custom aggregations and calculations using Data Analysis Expressions (DAX)
- Configure reports, dashboards, filters, and publish reports to Power BI Service
- Retrieve data from relational databases using SELECT queries
- Filter, sort, group, and join multiple databases
- Modify records using SQL statements (INSERT, UPDATE, DELETE)
- Career Simulation 2: Query database tables with SQL, clean data, and construct Power BI business insights.
- Explore unified data platforms and preparation within the Lakehouse environment
- Orchestrate pipelines, manage lakehouses, and synchronize Fabric reports
- Final Career Simulation: Collaborative capstone project cleansing real-world datasets with SQL and Python to deploy interactive Power BI dashboards.
- Python syntax, variables, lists, loops, functions, and modules for data manipulation
- Review Power BI Microsoft PL-300 exam objectives and take mock exams
Data Analytics Bootcamp Outcomes
Prepare for entry-level analyst positions in diverse corporate sectors. Average national salary listings include:
- Power BI Analyst: $100,000 / year
- Business Intelligence Analyst: $95,001 / year
- Data Analyst: $78,063 / year
Students work closely with our career services coaches to build resumes, set up professional portfolios, prep for tech interviews, and gain access to QuickStart's exclusive hiring network.
Prerequisites & System Requirements
Academic Prerequisites: No prior programming or statistical background required. Standard computer proficiency (ex. file structures, downloading and launching software) is expected.
System Requirements:
- Processor: Intel Core i5 or Apple Silicon (M1/M2/M3)
- RAM: 8GB minimum, 16GB recommended
- Storage: 100GB of internal SSD drive space
- OS: Windows 10/11 (Not S Mode) or macOS 11+
Learn from Industry Experts
Jeff Lund, Data Scientist & BI Consultant
Jeff has years of experience designing and instructing curriculum in data science and enterprise reporting. His areas of expertise span Power BI, Python development, SQL querying, Machine Learning, and R programming. Jeff has developed technical education material for federal departments, financial services, healthcare environments, and retail groups.
Frequently Asked Questions
Which tools will I learn to use in this bootcamp?
You will learn and work extensively with Microsoft Excel, Microsoft Power BI, SQL databases, Python, and Microsoft Fabric.
Is the Microsoft PL-300 exam voucher included?
Yes. The Power BI Data Analyst (PL-300) study guides, preparatory courses, and the official exam voucher are 100% covered in the tuition fee.
Do you offer financing options?
Yes. Prepay discounts, custom monthly payment plans, and external financing options are available. Connect with an admissions advisor for details.