Data Analytics Course

With businesses relying on data to drive their decision-making, the need for professionals with analytics skills only continues to grow. This data analytics course provides an immersive learning experience with training on essential tools for the analysis process, including Excel, SQL, Tableau, and Python. Throughout your data analytics training, you will learn how to work with structured data, create visualizations from your findings, and build predictive models to help solve problems.

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9 Months / 240 Course Hrs
Open Enrollment
Offered in partnership with your preferred school

CSU Channel Islands

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Data Analytics Course

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Course code: GES3128

What you will learn

  • Understand major data analytics principles, from data collection and cleansing to analysis and reporting
  • Learn to use popular data analytics tools like Microsoft Excel and SQL for simplified database management, with instruction on SQL data management and advanced Excel functions like Pivot Tables and macros
  • Leverage standard data analytics tools like Python and Tableau
  • Learn to build, maintain and optimize machine learning models to streamline your analytics process through the automation of time-consuming tasks
  • Review advanced data analysis methods like regression analysis, forecasting, and prescriptive analysis to interpret trends within datasets

How you will benefit

  • Walk away with a solid understanding of the data analytics process from start to finish
  • Learn how to find, sort, and organize data using several industry-standard tools as well as optimize workflows when handling larger datasets
  • Practice various kinds of analytics and become familiar with more advanced concepts like automating tasks through machine learning models
  • Become more astute problem solvers within the data analytics field and gain a real-world approach that prepares you for the field

How the course is taught

  • Self-paced, online course
  • 9 Months to complete
  • Open enrollment, begin anytime
  • 240 course hours
  1. Excel for Data Analytics
  2. Data Analytics Foundations
  3. SQL with AI Course
  4. Python for Data Science Course
  5. Machine Learning & AI with Python Course
  6. Python for Automation
  7. Python Data Visualization & Interactive Dashboards
  8. Tableau Bootcamp

Brian McClain

Brian McClain is a senior instructor and program director at Noble Desktop, where he teaches Python, data science, machine learning, and AI courses. His expertise covers several programming languages (including Python, R, and SwiftUI) and advanced frameworks (SQL, Flask, and OpenAI technologies).  Brian holds certifications as a New York State Instructor of Computer Applications and a Licensed Private Career School Teacher. He earned his Bachelor’s degree in Political Science from Duke University.

Colin Jaffe

Colin Jaffe is a programmer and curriculum developer at Noble Desktop. He has taught coding and software development at Noble Desktop as well as various other educational institutions. Colin’s teaching focuses on algorithmic thinking, application logic, and practical frameworks such as React and Python. His professional background includes front-end development and data analytics, and he brings creativity to technical instruction, shaped by his experience as a self-taught programmer.

Dan Rodney

Dan Rodney is a coder, designer, and instructor with over 25 years of experience creating coursework and leading innovative training initiatives at Noble Desktop. He’s taught employees from major corporations as well as individuals wanting to break into tech and design. Dan has been at the forefront of integrating AI into design and business workflows, spearheading Noble Desktop’s latest AI course offerings.

Prerequisites:

Basic computer proficiency is required. No prior experience in analytics or programming is necessary.

Requirements:

Hardware Requirements:

This course can be taken on either a PC or Mac. Chromebook is not compatible.

Software Requirements:

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.

In 2025, data analysts in the U.S. earn an average salary of about $75,000 per year. Those just starting out typically earn between $55,000 and $70,000, while analysts with a few years of experience earn around $70,000 to $90,000. Senior data analysts can earn $90,000 to $115,000 or more, depending on their skills, experience, and location.

No.

After you register, you will receive 9 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.

This course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.

The time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact the student advising team to see what options you may have available to work out a suitable completion date. Please note that an extension fee may be charged.

Our courses are designed to accommodate various learning preferences. Depending on the course structure, you may get different forms of support. Self-paced courses are designed to be user-friendly and independent, minimizing the need for external support. In courses with instructors, our direct platform support feature includes opportunities for questions, discussions, and remediation, with email and phone support available for select courses. Our student advising team is available to guide you on program requirements and administrative requests, but they do not provide assistance with course content. Our goal is to provide you with the necessary support for success, whether it's through self-paced exploration, direct communication, or guidance from our advising team.

Upon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.

ed2go courses will help you gain the skills you need to obtain an entry-level position in most cases. However, you should always research the job market in your area before enrolling.

ed2go courses are non-credit, so they do not qualify for federal aid, FAFSA, and Pell Grant. In some states, vocational rehab or workforce development boards may provide funding to take our courses. Additionally, you may qualify for financial assistance if you meet certain requirements. Learn more about financial assistance.

If you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the “Contact Us.”

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