Build data analytics skills in Excel, SQL, and Tableau across multiple courses. These hands-on sessions teach you how to turn data into actionable insights.
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Become proficient in Microsoft Excel and go from beginner to pro with our hands-on Excel Bootcamp. Learn functions, formulas, Pivot Tables, macros, and time-saving techniques to conquer all the key skills needed to excel in Excel.
Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This course will teach you how to connect to datasets, analyze and structure data, customize visualizations, and publish your work.
Learn how to use Power BI, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. Learn how to connect to datasets, analyze and structure data, customize visualizations, and publish reports.
Learn the fundamentals of data analytics, including descriptive and inferential statistics, and how different industries and organizations use data for forecasting and decision-making. Explore statistical analysis and modeling, including statistical algorithms, theorems, and models.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Automate and enhance the data analysis process with artificial intelligence (AI). In this course, you'll learn how to utilize AI tools to collect, preprocess, analyze, visualize, and interpret data without the need for extensive coding knowledge.
Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn Tableau for data visualization and become a certified Tableau Desktop Specialist in this hands-on certification course.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Learn Power BI for data analysis & visualization and become a certified Power BI Data Analyst Associate in this hands-on certification course.
Boost your resume with a Microsoft Excel Certification. Our program offers three courses, private training, the Specialist Exam fee with free retake, lifetime access to Excel video courses, and free exam proctoring.
Analyzing and interpreting data through the use of statistics, queries, and data visualizations is what data analytics is all about. Using the models that data scientists provide, data analysts can take the results of the information and produce charts, graphics, and other visual representations of enormous datasets that are crucial for stakeholders.
Not to be confused with data science, data analytics is the process of cleaning and analyzing data and using that analysis to draw conclusions and create visualizations. Data analytics focuses on the context of the data more than the procedures used to understand it.
A day in the life of a Data Analyst can include receiving requests from different teams to support decision-makers through ad-hoc analysis, creating data visualization dashboards, and writing queries to wrangle data.
The technology industry constantly uses data analytics for internal metrics and to uncover trends in consumer information. Plus, Tampa’s tech industry has really exploded in recent years, particularly in areas like IT and cybersecurity. For instance, cybersecurity company ReliaQuest hires data analytics professionals for threat detection, monitoring, and risk assessment. Without data analytics, tech companies would have a harder time determining where they’re succeeding and where there’s room for improvement with their products and services.
Analysts work in the finance industry all the time. The Tampa region has one of the largest finance centers in the Southeast, with Citi being one of the area’s largest employers. They would hire Data Analysts to handle everything from customer segmentation and investment analytics to fraud detection and risk modeling. Financial Analysts are a key asset to the institution and provide peace of mind for both consumers and others working in the field.
Data Analysts working in the healthcare industry have a unique but important role in the organization. They work with health providers like the BayCare Health System to improve operations throughout the organization as well as gain insight into the current patient satisfaction rate. In other words, analysts are necessary fr continually improving the healthcare system.
There is a stunning amount of data produced every day that powers a variety of careers in data analytics. Data analytics focuses on four specific sectors: data science, business, finance, and marketing. Training in data analytics is the starting point for a successful career in any of these areas.
Since all industries rely on having precise, up-to-date data, data analytics is a lucrative field with numerous employment opportunities. Professionals working in this area are expected to have a solid grasp of Python, SQL, and visualization tools such as Tableau and Excel. In addition, since data analysts commonly present the information they gather to business leaders and stakeholders, they must also have industry-specific knowledge they can clearly communicate.
Being based in Tampa is a good choice for Data Analysts. The tech sector is quickly becoming one of the strongest emerging hubs in the nation. Tampa is a big city, which means many opportunities to join a business as their consultant or analyst. The median income in Tampa is between $60,000 and $70,000. However, most data analytics roles provide salaries that far exceed this average. This means that professionals in the field can enjoy all of the benefits of living in a sunny state near some of the most desirable beaches one can find. Florida also has no state income tax, making Tampa an even more attractive place to live and work.
Salaries for Data Analysts average between $78,000 and $93,000 in Tampa, and other roles related to the field have similar or even higher earnings. For instance, a Business Analyst in Tampa averages a yearly salary of roughly $97,000, and Data Scientists can earn between $86,000 and $128,000.
Taking a virtual data analytics class means that Tampa residents have the convenience of attending class from anywhere they’d like, perhaps their home or office. Noble Desktop, the creator of this tool, offers these courses and certificates in real-time, meaning that students have their questions answered promptly. Students can even share their computer screen with the instructor if they’d like.
In Noble’s Data Science Certificate, students master the skills they need for entry-level data science and Python engineering positions. In addition, they study programming skills to manipulate databases and perform various levels of analysis on the data.
With the Data Analytics Certificate, students become proficient in Excel, SQL, and Tableau, the top data analytics tools. Upon completion, they will organize, analyze, summarize, and visualize data to present actionable insights.
Data analytics Bootcamps are an ideal choice for students ready to take a deep dive into an intensive and comprehensive study of data analytics. These bootcamps are designed to provide real-world, job-focused skills rather than theoretical concepts. Students complete the bootcamp feeling confident that they will move into the career in data analytics they seek.
The 51-hour Data Analytics Technologies Bootcamp is ideal for students who want to learn how to use Excel, SQL, and Tableau to summarize, display, and discover key insights in datasets. Participants complete the bootcamp with skills in Excel to aggregate and summarize data and sort data using PivotTables.
Those interested in the data science side of things might consider the Python for Data Science Bootcamp, which provides the tools to succeed as a Data Analyst, including using Excel for graphs and summarizing data with PivotTables. Through SQL, students learn relational databases, queries, functions, and beyond. Additionally, bootcamp attendees learn Tableau to create visualizations and express their data.
Understanding the importance of data in today’s world—including those on the receiving end of an analyst’s report—offering live onsite corporate Data Analytics training to your team or entire workforce provides an incredible advantage. An expert Noble Desktop instructor will bring the course to your location or arrange for a virtual data analytics course via a video conferencing program such as Zoom.
If it is easier for employees to attend a data analytics course at a time that fits their schedule, vouchers can be obtained to allow employees to take a class during one of Noble’s open enrollment sessions. There is a discount for the purchase of multiple vouchers. Contact Noble Desktop for more information.
Tampa is one of the most diverse areas in Florida, making it an ideal place to develop skills in technology, business, design, or data through training courses. The city’s economy spans industries such as finance and cybersecurity, with prominent companies and startups throughout the Tampa Bay area. Tampa offers professionals the opportunity to apply what they learn in a real-world setting, from the executive-driven Water Street district to the Channelside areas. Noble Desktop’s instructors bring decades of experience to each class, meshing practical training with hands-on learning. The training courses in subjects ranging from coding to Excel, instructors help students gain the practical experience needed to succeed in Tampa’s competitive job market.
Data analytics plays a key role in helping Tampa organizations make informed decisions and interpret key metrics. Students taking classes with Noble Desktop will have an opportunity to learn visualization and analysis techniques from instructors familiar with real-world business needs
Dr. Cheryl McCloud is a seasoned expert with over 35 years of experience in global supply chain management, spanning across industries like transportation, trade compliance, and inventory management. She earned her Bachelor’s in International Studies from Old Dominion University before pursuing an MBA in Project Management from Devry University and a DBA in Global Supply Chain Management from Walden University. Dr. McCloud currently teaches project management and marketing classes at Graduate School USA and has the background to help others reach the next step in their careers as well. She previously owned a global transportation business and served as a federal government contractor. Additionally, she provided global trade compliance oversight for major shippers across the world. She’s also a licensed U.S. Customs Broker with certification in project management and federal maritime law. Between her extensive career and numerous accolades, Dr. McCloud serves as a fantastic asset and resource for students.
Edward (Scott) Dillion is a retired Senior Financial Manager with over 30 years of experience in the Department of Defense, specializing in financial management, budgeting, auditing, and cost analysis, just to name a few subjects. He holds an MBA from Southern Illinois University and a B.A. in Business Administration from Grove City College. After retiring from civil service in 2014, he transitioned to a career as an instructor and consultant. He has worked as an adjunct instructor at Graduate School USA since 2015 and teaches a variety of courses, including project management and marketing. Dillon is also a Subject Matter Expert (SME) for Management Concepts Inc., where he contributes to financial management course material. In addition to his accomplishments in the professional world, he holds a lifetime membership of the American Society of Military Comptrollers and has a Top Secret security clearance. His career positions him as an excellent source of knowledge for all his students.