Data Analytics Classes Irvine, CA

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.

This comprehensive 12-week data science program teaches students all the practical aspects of data science or 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 solidify their understand of tools and concepts covered throughout the course.Graduates of this 12-week program will receive a certificate 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 solidify their understand of tools and concepts covered throughout the course.Graduates of this 12-week program will receive a certificate and be well prepared to manage and lead the data science team for their organizations.

This introduction to SQL gives students basic and intermediate skills in SQL. 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 SQL security permissions, encrypting data, and creating audit trails. This program includes free repeats within six months and courseware you can keep for reference later.

This introductory 3-weekend data science labs program was designed for those looking to explore the field of data science but who aren't ready to commit to a longer course. Individuals will learn a wide range of data science tools and concepts, including a broad introduction to data science using python, exploratory data analysis, using NumPy and Pandas, data mining, machine learning, natural language processing, and sentiment analysis. The course is very hands-on and students will work on numerous projects in order solidify their understand of the various tools and concepts covered in the course.Graduates of this 3-weekend program will receive a certificate and be well prepared to move on to a more advanced data science program.

This comprehensive 16-week data science and deep learning program was designed for individuals with little to no data science knowledge get up to speed in the field and learn numerous practical applications for data science and deep learning. Individuals will learn a wide range of data science tools and concepts, including a broad introduction to data science using python, exploratory data analysis, using NumPy and Pandas, data mining, machine learning, natural language processing, sentiment analysis, big data using Spark and Splunk, deep learning, time series, and more. The course is very hands-on and students will work on numerous projects in order solidify their understand of the various tools and concepts covered in the course.Graduates of this 16-week program will receive a certificate and be well prepared to move on to start or advance their careers in the field of data science.