Data Analytics Classes Miami, FL

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

In this Data Analyst course, students will master Python, SQL, Looker (Google Data Studio), Streamlit, and Statistics, equipping them to join any data-driven team with proficiency in creating predictive models using Python and its powerful libraries like Pandas and Numpy. The curriculum covers a range of algorithms, supervised and unsupervised learning models, real-life case practices, and industry-standard tools, along with comprehensive training in strategizing and developing A.I. projects from development to deployment, with a focus on privacy and security.

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

Students build in-demand industry skills and prepare to take certification exams in Tableau and Amazon Web Services. The program consists of Fullstack’s live online classes and workshops so you will feel fully supported along your journey. The up-to-date curriculum ensures course activities are relevant with real-world applications and interactive technology to help you master the knowledge and skills that you’ll acquire throughout the program.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Develop a solid design foundation in this two-day beginner-level Tableau training class. Through a combination of hands-on learning, instructor guidance, and class discussions, students import data from multiple sources and use it to create strong visualizations and engaging stories. Specific topics include Tableau interfaces, understanding techniques and best practices, leveraging the Tableau paradigm, workflow management, data analysis, data breakdowns, basic calculations, and guided data presentation.

Take your Tableau skills to the next level in this three-day intermediate course. Using more in-depth Tableau features, such as enhanced data visualization, participants solve more advanced problems. Specific topics include a Tableau review, parameters, sets, groups, reference lines, animation features, forecasting, mapping, data sourcing, filed calculations, and advanced charting.

Combine basic and intermediate courses in this fast-paced, five-day Tableau bootcamp. Once they acquire a solid foundation, students move quickly to more advanced areas, through a combination of structured and guided learning. Key concepts include combining visualizations, using interactive dashboards, utilizing data stores, gaining data insights, effective presentation techniques, and sophisticated data charting approaches.

This 1-day introduction to Microsoft Excel teaches participants how to create, manage and work with spreadsheets. Throughout this experience, students will learn how to use Microsoft Excel to organize and analyze data. They will gain practice with writing formulas, creating tables, and presenting data in charts and reports.