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Data Analytics

» Continuing Education » Computer Science & Information Technology » Data Analytics

» Continuing Education » Computer Science & Information Technology » Data Analytics

2025 Fall Semester Course Registration Begins May 12th. Learn more. NEW! An Improved Registration System is Coming June 18th!

It's all about the Data

The Data Analytics courses will provide you with Excel skills, SQL, and data analysis concepts required by most entry level data analytics positions. It will also expose you to a "day in the life" of a data analyst to allow you to determine whether this is a career you would like to pursue. The demand for data analysts is high and they are needed in all fields including corporate, government, healthcare, e-commerce, science, and telecommunications. Start your journey in this highly competitive and rewarding career.

About the Program

Data analysts review data and present it in an understandable format to facilitate business decisions such as price points for new products, optimum staffing levels, and opportunities to reduce cost. Completion of these classes supplemented with a course in Python will position you to become one of the most sought-after professionals in the world.

  • ITNW-2073 Analytics with Excel (Prerequisite: Excel Intermediate)
  • ITNW-2074 Data Analytics (Prerequisite: Analytics with Excel)
  • ITNW-2075 SQL Database Essentials (Prerequisite: Middle school math)
  • ITSE-2009 Database Programming with SQL and Python (Prerequisites: ITNW-2075 SQL Database Essentials)
  • ITNW-2077 Data+ (ITNW-2073, ITNW-2074, ITNW-2075, ITSE-2009. CompTIA recommends 18-24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience.)

Register for Courses

Follow this tutorial to select courses, build your schedule, and register for CE courses.

2025 Spring Semester

2025 Spring Semester

Jan 2nd, 2025 - Jun 1st, 2025

View Schedule
2025 Summer Semester

2025 Summer Semester

Jun 2nd, 2025 - Aug 24th, 2025

View Schedule
2025 Fall Semester

2025 Fall Semester

Aug 25th, 2025 - Dec 31st, 2025

View Schedule

Program
Information

Tuition

$4,171.00
Additional Fees Apply

Payment Options

Financial Assistance Available

Time Commitment

4-5 Months
8 Hours / Week

Career
Information

Median Salary

$79,505
New workers start around $45,271. Normal pay is $79,505 per year. Highly experienced workers can earn up to $134,064.

Annual Job Openings

22

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Contact
Information

Program Coordinator

Marcela Nouzovska
Send An Email
512-223-7588

Course Registration

512-223-7542
512-223-0124
ceregistration@austincc.edu

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What Our Students Are Saying

Analytics with Excel is exactly as described. Taught by a patient and competent teacher, Nikki guided the class through the easiest and the hardest parts of excel and showed us how Analytics works with the program to produce amazing results. Not only was she fully engaged with all the students in class, she was always available in her off hours and responded back promptly when questions were addressed to her.

I would fully recommend this class to all those looking for a great teacher and an interesting learning experience.

Hannah Novinger

I'm so grateful that Nikki Randolph taught Data Analytics with Excel! I hadn't taken a college class (Continuing Ed or otherwise) for almost 25 years, so I was a bit nervous about what to expect. However, her encouragement, positive attitude and engaging teaching style was just what I needed to embark on phase two of my educational journey. Plus all the other classmates were so nice. It was a very pleasurable experience overall, thank you!

Chris McFadden

Nikki Randolph is an excellent, professional and courteous teacher. I have learnt a lot in this course simply because of her style and making the students feel super comfortable.

Mark Aldridge

As a long-time people leader I always enjoy watching how others manage large groups of people. I appreciate that Nikki keeps the group focused and is relentless in her pursuit to make sure we're learning the information. I've really enjoyed the class!

Shaye Potts

I just wanted to say Nikki is a great teacher for this program. I have really enjoyed learning some features that I have never done before in Excel. I highly recommend this course for anyone that either wants to start from scratch in Excel or someone who has had previous experience with Excel and wants to continue their learning.

Edward Esqueda

The Data analytics with Excel class has proven both beneficial and relatable to my everyday needs within my life. This easily digestible content was not only streamlined in an effective manner but it felt like I was being included and involved within the understanding of the information.

Nikki Randolph is very knowledgeable in her field and has demonstrated her abilities with being very capable to teach Data Analytics with Excel providing high-quality content and structured lectures. She proved patient and insightful in the development of my learning of this material in a time appropriate manner of the course. Not only did she provide real-time practice opportunities she also gave more than ample time in being able to grasp the more complicated sections pertaining to Excel executions, functions, and operations.

Overall, this course with Nikki Randolph as the instructor, has been an enjoyable experience and my newly acquired knowledge will aid me in my future endeavors.

Taylor S.

This course was the perfect introduction to SQL, as someone who has no previous experience at all. The course book was well chosen and easy to read. As well as the rest of the course material, all (presentations and video tutorials) lined up well while covering multiple topics. Practice links provided a great area for hands-on learning and retention of minute coding details.

Class learning schedule was set up well so we had plenty of time to absorb and practice what we learned about each week. Professor Ramsey was available when we needed extra help and even helped outside of her official office hours. MySQL was surprisingly not too hard to learn (so far) and the supplemental materials definitely helped.

Hannah Novinger

This course, SQL Database Essentials, has been 100 percent beneficial for my learning; definitely essential. In just the short few weeks, this course provided an opportunity to delve into new material that will enhance my skills and put me closer to my goal of a position in the Data Analysis job field. Professor Allison Ramsey was able to supply a tremendous amount of practical and structured detail on the operations of the SQL program. The number of references and videos provided made the experience feel like a smooth ride with a few bumps that come along with any learning of new material.

SQL, as a query language, gave me the ability to take data and efficiently manage the information for a better analysis. Understanding the different operations, clauses, expressions, and predicates that SQL uses to form tables and other organized formats of data will be beneficial in being able to operate and be competitive in the Data Analysis field. In addition, with this knowledge I can move forward in my career with confidence. I conclude that I have moved on from this experience with more knowledge and understanding about operations in SQL and an increase in confidence as I approach my goal.

Taylor S.

Taking this introductory course has helped me gain an understanding of SQL and learn the framework of the system. Through taking Professor Allison Ramsey's course, I learned various functions including creating tables and adding values to the tables. The videos included in the presentations were very helpful in guiding me also.

I enjoyed being able to collaborate with classmates as we meet weekly to go over the material as well, in the study group we formed. We helped each other and provided extra guidance from what we learned. I look forward to continuing to learn about SQL.

Erika Alcala

The ITNW-2075-310 SQL Database Essentials course with Professor Allison Ramsey was a very insightful and easy-to-follow course. The pace was great as an introduction to using SQL. I was very happy to be working with mySQL, as it provided hands-on experience with the platform that is used by companies like Twitter and Spotify and that was very important to me.

The accompanying book was an excellent tool to use in conjunction with the slides provided by Professor Ramsey. The provided YouTube video links were another great resource for those who are more visual learners. The format of the class instruction allowed enough time to look over the material and Professor Ramsey was always able to answer questions over email during her virtual office hours times should questions arise. I'm excited to continue building on what I have learned over the past 6 weeks in this course and look forward to doing more analytical work using SQL.

Katherine Villatoro

Data Analytics: SQL Database Essentials, with Professor Allison Ramsey, was an excellent beginner introductory course. The presentations, weekly emails, and videos were beneficial, and getting together with my classmates, in the study group we formed, was imperative in learning and completing the course. I appreciate learning how to navigate an SQL server and how to set up tables and how to insert values. I will continue to play with it.

I definitely am walking away with more knowledge of MySQL than before I started and will probably continue to utilize these course materials, videos, and my classmates. The presentations provided to us by Professor Ramsey were helpful in setting up the course pace and keeping me on track. Good flow to the course and learned a lot!

Emma A.

Professor Allison Ramsey's SQL Database Essentials course provided exposure to the basics of SQL that is not overwhelming to a beginner. This includes creating a table, and columns, inserting values, and more. The content provided by Professor Ramsey was helpful in learning the concepts. One of the most exciting takeaways from this class was being guided in the presentations, in setting up and understanding how to run SQL, and I now have an open-source SQL server to continue practicing SQL in.

My classmates and I started a study group, where we also assisted each other in problem-solving SQL statements.
As a result of taking this course, I feel much more confident in SQL.

Kristy Nguyen

Professor Ramsey provides many helpful resources for the independent learner. The videos and the associated reading all supported my learning experience. I appreciate Professor Ramsey's weekly emails, supplemental resources, and her responsiveness to inquiries. This experience not only encouraged me to take additional CE courses through ACC but has provided me with the basic familiarity of SQL that I was looking for.

I found working with mySQL fun and challenging. This course gave me a broader
understanding, allowing me to be more informed beyond syntax. I am very satisfied with this course.

Carolina Corpus

I had a really good time during the Data Analytics course. I especially appreciated the fact that it was completely online and self-paced. I have a 1.5-year-old son and a full-time job, therefore being able to work around my schedule was really helpful. The course videos linked in the presentations from youtube also really helped to understand further the topics discussed in the reading.

I really enjoyed taking the course with Professor Ramsey and working with mySQL and learning something new. The reason that I took the Data Analytics sequence courses is that I was looking to further my profession into something more challenging. After taking these courses and being exposed to Data Analytics, I'm looking forward to learning even more.

Elizabeth Lopez

The SQL Database Essentials (46337) Course for Fall 2022 at Austin Community College, was very beneficial. I was able to learn and practice SQL's programming language and apply what I've learned- in practice. There are many resources available to help you as a student be able to know and use SQL. Professor Allison Ramsey is a joy to work with. With the course being completely independent, she is an excellent coach. She provides videos, sites, screenshots, and even a book to read that will help you learn all about SQL.

MySQL's platform was easy to use and most importantly free of charge. Over a six-week period, I was able to use the program in its entirety, allowing me to be the captain of my own boat. Learning Excel prior to this was a huge help in understanding the operations and the syntax of the program. Data Analytics has always been an enjoyment of mine, and now knowing SQL has put me in the top category with other data analysts worldwide. I believe that my time at ACC has been a huge catapult for my future career. I am excited about the next steps!

Shanice Lewis

In the SQL Database Essentials course, taught by Professor Allison Ramsey, I was introduced to the endless benefits of using SQL to analyze data. For example, I learned that tables can be combined to answer more complex questions about the data. The material provided by the Professor was very informative and taught me many ways to query a database. I plan to keep this knowledge and expand on it as I make Data Analytics my career!

I am grateful for this class uniting my classmates and me. I was able to join a few of my classmates and discuss the material presented to us weekly. This was extremely helpful for gaining a better understanding of mySQL. I will be leaving this class with new knowledge and new friends!

Christopher Sun

Throughout the SQL Database Essentials course, I have acquired several new skills and expanded my knowledge of writing SQL script. Professor Ramsey shared many resources with us, including textbook readings, presentation slides, YouTube videos, and websites with practice prompts. These all helped ingrain the learned concepts of how to create a database and tables, how to update and manage them, and how to write simple and complex queries. I have learned that mySQL is utilized within many different types of companies / organizations and that there are many aspects to it that I will continue to learn about.

Thanks to these skills acquired in this class and the previous classes in the Data Analytics program, I have a new position as a Data Operations Specialist. I am excited to use these skills in real-world applications.

Melanie Via-Daens

Contact A Program Coordinator -

Questions or Comments About This Program?

Do you see yourself being a good fit for this program? Perhaps you have some additional questions you would like answered? Well, know that we are there for you to assist in any way we can. Please fill out the following form and our Data Analytics program coordinator will contact you directly.

Answer The Following Question: What is 5 x 1?

Coordinator

Marcela Nouzovska
512-223-7588

Location

ACC Northridge Campus
11928 Stonehollow Dr
Austin, Texas 78758

Data Analytics

Jump on the fast track to a new career

Program Information: http://continue.austincc.edu/analytics
Program Coordinator: Marcela Nouzovska @ 512-223-7588 | mnouzovs@austincc.edu

It's all about the Data

The Data Analytics courses will provide you with Excel skills, SQL, and data analysis concepts required by most entry level data analytics positions. It will also expose you to a "day in the life" of a data analyst to allow you to determine whether this is a career you would like to pursue. The demand for data analysts is high and they are needed in all fields including corporate, government, healthcare, e-commerce, science, and telecommunications. Start your journey in this highly competitive and rewarding career.

About the Program

Data analysts review data and present it in an understandable format to facilitate business decisions such as price points for new products, optimum staffing levels, and opportunities to reduce cost. Completion of these classes supplemented with a course in Python will position you to become one of the most sought-after professionals in the world.

  • ITNW-2073 Analytics with Excel (Prerequisite: Excel Intermediate)
  • ITNW-2074 Data Analytics (Prerequisite: Analytics with Excel)
  • ITNW-2075 SQL Database Essentials (Prerequisite: Middle school math)
  • ITSE-2009 Database Programming with SQL and Python (Prerequisites: ITNW-2075 SQL Database Essentials)
  • ITNW-2077 Data+ (ITNW-2073, ITNW-2074, ITNW-2075, ITSE-2009. CompTIA recommends 18-24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience.)

Data Analytics Program Information

Tuition

$4,171.00
Books & Fees Not Included

Payment Options

Financial Assistance Available

Time Commitment

4-5 Months
8 Hours / Week

Median Salary

$79,505

Job Market

22

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