Data Analytics Classes Irvine, CA

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's NumPy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake so students can refresh the material.

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 tell stories 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-back 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 present their data clearly. 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, summarize and analyze data with PivotTables, create charts and PivotCharts in Excel, use SQL to filter and sort large data sets, perform 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.

This comprehensive 12-week data science program teaches students all the practical aspects of data science in order to solve real-world problems and launch their careers in the ever-changing field of data science. Students will learn a wide range of data science tools and concepts, including an introduction to data science with Python, exploratory data analysis, data visualization best practices, machine learning, recommender systems, natural language processing, big data using Spark and Splunk, deep learning, and more. Students will work on numerous hands-on projects in order to solidify their understanding of tools and concepts covered throughout the course. Graduates of this 12-week program will receive a Certificate of Completion and be well prepared to find work in the field of data science.

This fast-paced 5-day data science program was designed to provide managers and executives with a practical understanding of data science concepts and algorithms. Individuals will learn a wide range of data science tools and concepts, including a general introduction to data science, big data, and web scraping. Individuals will also learn about exploratory data analysis, data visualization, supervised and unsupervised machine learning, system recommendations for natural language processing (NLP), and more. Students will work on numerous hands-on projects in order to solidify their understanding of tools and concepts covered throughout the course. Graduates of this 5-day program will receive a Certificate of Completion and be well prepared to manage and lead the data science team for their organizations.

This introductory SQL course provides students with basic and intermediate skills. Students will learn how to use basic SQL security protocols, so database users have added peace of mind. These protocols include assigning roles to individual users, restricting access, configuring security permissions, encrypting data, and creating audit trails. This program includes free retakes within six months and courseware you can keep for reference later.