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Online Data Analytics Course DAT-205 Role of Data Analysis in Organizations
Why SNHU? A faster way to upskill and get ahead
There are lots of advantages to taking a single course. Whether you want to grow in your current career, prepare yourself for a new one or get one step closer to a college degree, an individual course is a great way to get started.
Finish in Just 8 Weeks
Not only is a single course low-commitment, but it’s a fast way to gain skills and college credits and explore what it’s like to take courses at SNHU.
Upskill for Your Career
SNHU courses focus on real-world, career-focused skills that you can use immediately in the workplace or to help prepare you to advance in the field.
Earn College Credits
Course credits may be transferred to a degree program at SNHU or another university, depending on your university’s transfer policy.
DAT-205 – Role of Data Analysis in Organizations Online Data Analytics Class Built for Your Success
Effective data collection, analysis and interpretation is an organization's greatest tool for good decision making and strategic planning. If you know you want to go into data analysis, but aren't sure where to begin, enrolling in the DAT-205 Role of Data Analysis in Organizations course at Southern New Hampshire University is a great start.
This course is included in our Bachelor of Science (BS) in Data Analytics program. So while it can be taken as a standalone course, its credits can also be applied toward the full degree if you choose to continue.
Skills you'll learn:
- Understanding the data analytics lifecycle
- Using data to solve business problems
- Conducting company research and case studies
- Exploring data jobs, tools and programming languages (like R and Python)
What SNHU students are saying
A lot of the things that I was doing in my courses related to my day-to-day life and my job.
Keshay Randle '24
Career-focused curriculum
DAT-205 Role of Data Analysis in Organizations is an online data analytics course that exposes you to real-world data analysis applications in just 8 weeks. As an introductory course, no prerequisites or prior knowledge is necessary to enroll.
Through engaging assignments – including activities, discussion posts, journals and projects – you'll examine the diverse fields of data analysis and their significance, learn how organizations leverage data across different sectors, and explore the multitude of professional roles and responsibilities in data analytics.
Apply for free in minutes
Our no-commitment application can help you decide if SNHU is the right college for you and your career goals. Apply up until 2 days before the term starts!
Upcoming term starts: June 30, 2025 | September 1, 2025
Next class starts:
May 5, 2025
College that fits your life
With no set class times and 24/7 access to the online classroom, you can learn on your schedule. Learn more about what it's like to take a class at SNHU.
What does an online course look like?
You’ll take your courses within SNHU’s Brightspace platform. This is where you’ll find your:
- Schedule of weekly assignments
- Discussion boards
- Grades
- Instructor announcements
What support services are available?
- Drop in for tutoring
Work with a tutor, any time of the day or night – no appointment necessary. - Learn from industry professionals
Instructors lead discussions and offer guidance – and they’re just an email away. - Use the online library
Access 600,000+ resources or chat with a librarian 24/7. - Reach out for accessibility help
Receive accommodations as an eligible student with disabilities. - Focus on your well-being
Connect with professionals to improve your health and wellness.
It's easy to get started
Expanding access to quality higher education means removing the barriers that may stand between you and your education. That’s why we make signing up for individual courses simple.
- Get started by talking to an admission counselor
- Take up to 10 courses without enrolling in a degree program
- High school diploma or GED not required*
*If you are currently a high school student who hasn't graduated yet, you can still take individual courses at SNHU. Please reach out to an admission counselor for documents and forms that may be required.
If you choose to enroll in a degree program in the future, we’re here to help with additional forms, transcripts and other materials that may be necessary. For degree programs, acceptance decisions are made on a rolling basis throughout the year for our 6 (8-week) undergraduate terms.
Why SNHU?
At Southern New Hampshire University, you'll have access to a powerful network of more than 400,000 students, alumni and staff that can help support you long after graduation. Our instructors offer relevant, real-world expertise to help you understand and navigate the field. Plus, with our growing, nationwide alumni network, you'll have the potential to tap into a number of internship and career opportunities.
Recently, SNHU has been nationally recognized for leading the way toward more innovative, affordable and achievable education:
- U.S. News & World Report
Named SNHU the 2024 Most Innovative University in the North - The United States Distance Learning Association (USDLA)
Awarded SNHU the 21st Century Distance Learning Award for Excellence in Online Technology - Google.org
Gave SNHU a $1 million grant to explore soft skills assessments for high-need youth
Founded in 1932, Southern New Hampshire University is a private, nonprofit institution with over 180,000 graduates across the country. SNHU is accredited by the regional accreditor New England Commission of Higher Education (NECHE), which advocates for institutional improvement and public assurance of quality.
PC (Windows OS) Technical Requirements
| Component Type | PC (Windows OS) |
|---|---|
| Operating System | Currently supported operating system from Microsoft. |
| Memory (RAM) | 8GB or higher |
| Hard Drive | 100GB or higher |
| Antivirus Software | Required for campus students. Strongly recommended for online students. |
| SNHU Purchase Programs | Visit Dell |
| Internet/ Bandwidth | 5 Mbps Download, 1 Mbps Upload and less than 100ms Latency |
Apple (Mac OS) Technical Requirements
| Component Type | Apple (Mac OS) |
|---|---|
| Operating System | Currently supported operating system from Apple. |
| Memory (RAM) | 8GB or higher |
| Hard Drive | 100GB or higher |
| Antivirus Software | Required for campus students. Strongly recommended for online students. |
| SNHU Purchase Programs | Visit Apple |
| Internet/ Bandwidth | 5 Mbps Download, 1 Mbps Upload and less than 100ms Latency |
Additional Information:
- Laptop or desktop? Whichever you choose depends on your personal preference and work style, though laptops tend to offer more flexibility.
- Note: Chromebooks (Chrome OS) and iPads (iOS) do not meet the minimum requirements for coursework at SNHU. These offer limited functionality and do not work with some course technologies. They are not acceptable as the only device you use for coursework. While these devices are convenient and may be used for some course functions, they cannot be your primary device. SNHU does, however, have an affordable laptop option that it recommends: Dell Latitude 3301 with Windows 10.
- Office 365 Pro Plus is available free of charge to all SNHU students and faculty. The Office suite will remain free while you are a student at SNHU. Upon graduation you may convert to a paid subscription if you wish. Terms subject to change at Microsoft's discretion. Review system requirements for Microsoft 365 plans for business, education and government.
- Antivirus software: Check with your ISP as they may offer antivirus software free of charge to subscribers.
Data analytics for the real world
Assignments in this course are hands-on and practical, allowing students to directly apply what they learn in a real-world context. After completing this course, you'll be well-prepared to take our Data+ course, which can help you gain the knowledge needed to pursue an industry-relevant certification.
Joseph Timmons, Associate Dean, Data Analytics
What's next See where a single course can take you
Catch Up or Get Ahead
Online courses can help lighten the course load required by your degree program at SNHU or another university.
Transfer Your Credits
Credits you earn can transfer to SNHU degree programs, or to another university, depending on their transfer policy.
Upskill for Career Moves
For moving up the ladder or changing fields entirely, new skills can help make you more marketable.
Talk to an admission counselor: 888.327.SNHU | enroll@snhu.edu
Accreditations
SNHU is accredited by the regional accreditor the New England Commission of Higher Education (NECHE). The university also carries specialized accreditations for some programs.
Tuition & Fees
Tuition rates for SNHU's online courses are among the lowest in the nation.
Student
Cost per credit
Cost per course
Credits Earned
Online Undergraduate
$330
$990
3
Tuition rates are subject to change and are reviewed annually.
Please note: Books and materials are not included in the above costs. Federal Financial Aid is not available, but you can use employer tuition benefits or tuition reimbursement if available to you. Contact your employer benefits manager to see if you have funds available, or talk to our admission team to learn about payment options.
Frequently Asked Questions
Can I learn data analytics online?
Yes, you can learn data analytics online. In fact, there are many online courses for data analysts at all different levels.
Southern New Hampshire University offers a number of data analytics courses you can complete 100% online – while earning college credit. You can take just one or two courses to brush up on old skills or learn something new. Or you can enroll in one of our data analytics online programs, like the AS Data Analytics, BS in Data Analytics or MS Data Analytics.
Is an online data analytics course worth it?
When deciding whether a data analytics course online is worth it, you should consider 3 things: time, cost and outcomes.
Time is your most precious resource – so it's understandable you want to use it wisely. If you're looking at online courses, consider the length of the course, whether you have to participate in scheduled class times and how many hours it will take to complete.
Cost can range greatly, but for good reason. Not every online data analytics course is created equally, and a free course may or may not fit your goals.
As for outcomes, consider what kind of return you'll get on the investment of your time and money. Will you learn real-world skills that can help you in your career? Will you have something impressive to add to your resume? Will you receive college credits?
At SNHU, you can enroll in a number of courses for data analysts. Our 8-week undergraduate courses are:
- 100% online
- Career-focused
- Asynchronous (no set class times)
- Just $330 per credit hour ($990 per course)
Best of all? You'll have access to valuable resources at SNHU, such as your academic advisor and career counselors. If you enjoy the class and want to take more courses for data analysts (and maybe even enroll in the 120-credit BS in Data Analytics program) or need guidance as you explore possible career paths, our friendly support staff is here to help.
Is data analytics very difficult?
The difficulty of data analytics is subjective. But to succeed in data analytics, it can be helpful to develop some specific skills and knowledge.
Technical skills:
- Programming languages, such as Python, R and SQL
- Statistical methods for analysis and modeling
- Tools and software, like Power BI and Tableau
Analytical skills:
- Pattern recognition in data sets
- Attention to detail for quality assurance
- Problem solving
Business skills:
- Grasp of business terms and objectives
- Communication skills for explaining reports to stakeholders
Know that people with many different strengths and experiences become data analysts. No matter your educational or professional background, there are plenty of courses for data analysts that could be right for you.
In fact, Southern New Hampshire University offers online data analytics courses and programs that require zero coding or analytics knowledge to get started. And whether you want to complete just one course or an entire degree, you can earn college credits from an accredited university.
How do I become a data analyst with no experience?
To kick off a career as a data analyst, you'll want to start with a foundational education in data analytics. For many people, this means taking courses for data analysts, getting a bachelor's degree in the subject or even going back to school for a master's if you already have your undergrad.
As you work on getting basic knowledge and theory down, you'll also want to develop your technical skills – think programming, data manipulation and statistical visualization. A good course or program will have you solving problems using real data. As you work on these projects, you'll create a portfolio you can use to showcase your skills and achievements to future employers.
After completing an undergraduate degree or similar program, look for entry-level data analyst positions where you can put your skills to the test and learn on the job. And if you’re looking to further advance your career, you may consider getting professional certificates or pursuing an advanced degree.
At Southern New Hampshire University, all data analytics online programs and courses are career-focused – meaning you'll learn highly sought knowledge and skills while working on projects with real-world applications. And by earning your degree online, you don't have to put your life on pause.
Is data analytics a lot of math?
Data analytics involves being good with numbers, but you don't necessarily have to be an expert mathematician to succeed as a data analyst.
As an entry-level data analyst, you'll need basic data, problem-solving and pattern recognition skills for tasks like database management, reporting and visualization. While foundational math knowledge will serve you well in data analysis, you'll have plenty of tools to help you make your calculations.
As you grow in your career, you may find yourself interested in roles such as data scientist or data engineer. These titles come with more complex responsibilities where good math skills are necessary. Tasks involving predictive analytics and exploratory data analysis, for example, will involve more advanced mathematical concepts.
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