This comprehensive training course covers Excel, Python, SQL, Tableau, and machine learning. It is designed for beginners or professionals looking to expand their skills for roles in data and business analytics. The curriculum walks you through the process of organizing data, as well as foundational statistics, database querying, automation, and predictive modeling.
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.
You will leave this data and business analytics course with portfolio-ready projects that demonstrate your real-world abilities. The course exercises and capstone project provide experience that translates directly to entry-level roles in data and business analytics. Upon completion, you will be prepared to pursue careers as data or business analyst or even pursue more training, such as sitting for certification exams in Excel or Tableau.
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.
What are data analytics?
Data analytics is the process of studying data to find useful information and patterns. People who work in this field are called data analysts. They help businesses make better decisions by collecting data, cleaning it, analyzing it, and creating charts or reports to explain what they find. They often use tools like Excel, SQL, Python, and Tableau.
What is the average salary in data analytics?
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.
Does this course prepare you for a certification?
No.
How long does it take to complete this course?
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.
When can I start this course?
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.
What if I don't have enough time to complete the course within the time frame provided?
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.
What kind of support will I receive?
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.
What happens when I complete the course?
Upon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.
Am I guaranteed a job?
Hope Training Academy 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.
Can I get financial assistance?
Hope Training Academy 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.
How can I get more information about this course?
If you have questions that are not answered on our website, representatives are available by phone. You can also call us at 1-855-532-7642 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."
