Data Analytics Bootcamps Orange County, CA

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.

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.

This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.

Data Analytics Immersion is a 4-month full-time program designed to get you a job as a data analyst. You won't have to pay until you get a job making at least $40,000. 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.

Become a data analytics professional in this fast-paced 24-week bootcamp. The curriculum focuses on both practical tools and problem/solution visualization. Specific course topics include PivotTables, VBA scripting, and other intermediate Microsoft Excel skills, data forecasting, data modeling, Python programming, designing and maintaining databases, front-end web visualization, machine learning, big data analytics, and business intelligence platforms.

The Data Science Fellowship trains students to be well-rounded Data Scientists. The course covers Python, Pandas, SciPy, NumPy, Apache Spark, Scikit-learn, and other fundamental skills, culminating in a capstone portfolio project.

The Data Engineering Fellowship trains students to be well-rounded Data Engineers. The course covers Python, Pandas, AWS, Bash, Apache Airflow, AWS, PostgreSQL, and other fundamental skills, culminating in a capstone portfolio project.

As of July 14, 2020, the Data Science Immersive course is not available.

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 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.