Data Analytics

Unlock the power of data to make informed decisions in any industry with our comprehensive Data Analytics course.

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Years In Business
Scholarship & Grant Programs
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Upcoming Course Start Times

Start Date

April 19th, 2024





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Companies Who Hire Our Grads Include...

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jp morgan chase cleveland columbus tech job

Unlock the Power of Digital Data

Our curriculum is designed to build proficiency in key areas such as data cleaning, preprocessing, and sophisticated data analysis techniques. You’ll learn to create compelling data presentations in Excel and Power BI, honing your ability to communicate findings effectively to various stakeholders. The program also focuses on enhancing your problem-solving capabilities, project management skills, and the capacity to convey complex data insights clearly.

Agile Team Coding Bootcamp

How Do We Define Data Analytics?

Data Analytics is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. In the tech industry, Data Analytics analyze large amounts of raw and processed data to find patterns that can benefit the company and drive strategic business decisions. Jobs in data analytics include roles such as Data Analysts, Data Engineers, Machine Learning Engineers, and of course, Data Analytics, each of which involves analyzing and interpreting complex digital data, such as usage statistics of a website, search data, or customer purchase data, to assist a business in its decision-making.

What's In It For You?

What Jobs Can You Find In Data Analytics?

A Data Storyteller is a professional who uses their skills in data analysis and communication to translate complex data findings into clear, engaging, and understandable narratives. They use data visualization tools, context, and storytelling techniques to provide insights and make data-driven points more compelling and accessible to a variety of audiences, aiding in decision-making and strategic planning.

A Data Analyst is a professional who collects, processes, and performs statistical analyses of large data sets. Their role involves interpreting data, analyzing results using statistical techniques, and providing reports and data-driven insights to help guide business decisions and strategies. They often work with a variety of data sources and analytical tools to improve efficiency and quality of data interpretation.

A Data Scientist is a professional who uses statistical methods, programming skills, and knowledge of the domain to interpret and analyze complex data, extract insights, and help inform decision-making processes. They leverage large volumes of data from various sources, apply machine learning techniques, predictive models, and create algorithms to solve business problems, identify trends, and optimize results.

A Data Engineer is a professional responsible for creating and maintaining the infrastructure for data generation. Their work involves designing, developing, and optimizing data pipelines, databases, and large-scale processing systems, which allow for the collection, storage, and transformation of vast amounts of data to facilitate data analytics and decision-making processes.

**All salary averages are sourced from Glassdoor 2024 reports.

How Data Analytics Fits Into Your Career Pathway


  • Digital Literacy and Applications
  • ChatGPT
  • Data Analysis Fundamentals Using Excel


  • Data Analytics Bootcamp

Early Career

  • AWS Technical Essentials
  • SQL (All Versions)
  • SQL (All Versions) Advanced

Modules In Our Data Analytics Bootcamp

  1. Module 1 – Introduction to Data Analytics and Statistical Analysis
  2. Module 2 – Excel for Data Analysts
  3. Module 3 – Python Programming Language for Data Analysis
    (Beginning Python – 1 week, Intermediate – 1 week, Advanced 1 week)
  4. Module 4 – SQL for Data Analysis
  5. Module 5 – Data Visualization and Reporting using Power BI
  6. Module 6 – Integration, Presentation Skills, and Final Project Introduction
  7. Module 7 – Final Project Work & Mentoring
  8. Module 8 – Final Project Completion and Demo Day Presentation: Real-world Multifaceted Data Analysis

Is Data Analytics the Right Fit for You?

Our Data Analytics course is a good fit for you if…
  • Should be able to keep up with evolving data tools and techniques.
  • Should be able to learn then navigate software tools and platforms.
  • Should be able to understand basic mathematical and statistical concepts.

Courses That Match Your Pace

Certain students can devote themselves entirely to our campuses, while some must balance work, familial, or other personal commitments. Whichever route you opt for demands persistence and earnest effort. Within a few weeks, you’ll acquire capabilities that have the potential to transform your future positively.

Full-Time Weekdays

Pursue learning as if it’s your utmost commitment. Envision this as an accelerated plan laden with substantial accountability.

  • 14 weeks long
  • Regular interactions with your group, collaborative projects under instructor guidance, tutoring sessions, live classes led by teaching staff, and continuous support through the Slack community.
  • Ideal for: learners who are capable of attending courses online or in person during the weekdays at work hours. These students prefer engaging in live sessions, following a well-organized timetable, and cultivating knowledge collaboratively with fellow students.

Full-Time Weekends

You’re devoted to the learning process, though you may require some leeway in your schedule. You craft your own agenda but remain steadfast in meeting deadlines.

  • 15 weeks long
  • The cohort meets every weekend then two evening sessions during the week.
  • The full time evening and weekends course will have Live Instruction during the week but it will not be mandatory.
  • Students participate in collaborative projects under instructor guidance, tutoring sessions, live classes led by teaching staff, and continuous support through the Slack community.
  • Ideal for: Employed individuals seeking to incorporate classes into their existing packed agenda.

Data Analytics

$ 14,900
  • Gain expertise with in-depth training in essential tools like Python, SQL, and others.
  • Enhance your skills with practical projects, preparing you for real business scenarios and building a robust portfolio.
  • Benefit from dedicated career support, including resume reviews and mock interviews, bolstered by our strong industry partnerships and alumni network.

We offer a variety of financing programs with interest rates as low as 0%. Apply and talk to an admissions officer to learn more about your options. 

Grant & Tuition Reimbursement Programs

Our grant and tuition reimbursement programs allow students to take our courses at no cost. Programs we offer that cover Data Analytics include…

Ohio Means Jobs

Ohio Means Jobs offers scholarships that allow unemployed Ohioans to pursue a career in the emerging tech field.

Full tuition reimbursed

Open to Ohio residents

For unemployed workers

Only accepts candidates without college degrees

Think you qualify? Apply and speak to admissions about your eligibility.