Data Analytics Bootcamps Houston, TX

Data Analytics Flex is a 6-month part-time program designed to get you a job as a data analyst. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project. This program comes with a tuition backed guarantee if you don't land a job within 6 months of graduation.

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 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.

Data Science Bootcamp is a 14-week full-time program that will teach you to be a data scientist. It starts with an overview on computer science fundamentals and an introduction to Python. It will also teach you object-oriented programming, data cleaning, and data structures. Once you've mastered the basics, it'll cover supervised and unsupervised machine learning algorithms,and neural networks. You will complete the course with a capstone project on hand to showcase to potential employers.

The Data Science Bootcamp from Flatiron is designed to be a comprehensive data science program for students to start careers in data science. The program runs for 15-weeks and covers the key components for data science, including SQL, Python, statistics, and machine learning. Students will start coding in Python using Jupyter notebooks, learn the statistics behind machine learning, apply machine learning techniques, and work on data science projects in this data science course. In addition to the coursework, students will receive career coaching and job support during the program.

This 3-day Excel bootcamp program will provide students with a hands-on learning experience to ensure they have the skills and confidence to work in spreadsheets like a seasoned professional. This course takes learners from beginner to expert user. In the beginner section, students learn the basics of working with spreadsheets and get introduced to formulas, charts, tables, hotkeys, and more. In the intermediate section, students take what they learned in the beginner section but develop those skills and are introduced to new skills, including LOOKUPs, PivotTables, data validation, and more. Finally, in the advanced section, students will build on what they learned in the first two sections while also learning advanced functions, like INDEX-MATCH, working with advanced PivotTable features, and students will learn how macros can help them automate simple tasks.