TECHNOLOGY & DATA

ONLINE DATA ANALYTICS &
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.