Data Bootcamps Los Angeles, CA

This data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.

This data analytics course is a 40-hour in-person or online program for individuals with no prior experience with data analytics. Utilizing a hands-on approach, students learn by doing in order to build vital and dynamic skills that are applicable in a wide range of industries. The course curriculum centers around the core processes all data analysts must know, including data collection, cleaning, analyzing, and data visualization best practices. Students also come away with hands-on experience using some of the most common tools in the industry, including Microsoft Excel, SQL, and Tableau. By the end of the course, students will have a better understanding of how to gain insights from data and feel more prepared for a possible career in data analytics.

This data science course is a 10-week, part-time program for individuals with backgrounds in programming or a quantitative field. Utilizing a hands-on approach, students learn by doing to build vibrant skills that are essential in any field that leverages big data. The course curriculum centers around Python programming and data exploration, data modeling, and machine learning. Graduates of the Data Science course will be able to showcase their strong understanding of Python programming and applied statistics through their capstone projects, which are also a great springboard to a career in data science.

This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

Data Science Immersive Bootcamp is a 13-week full-time program that has four modules. To get accepted into the program, you'll have to pass a coding a challenge and a technical interview. However, they will provide study materials to help you succeed. Once you are accepted, you will learn Python and statistics in the first module. In the second, you will learn about machine learning and prediction. The third module will teach natural language processing and the fourth will be dedicated to your capstone project.

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

This machine learning course is meant for learners looking to master the concepts needed for machine learning. Students will learn how machine learning can be used for decision-making, the different machine learning techniques available, and how to tackle machine learning projects. The course covers various techniques in machine learning, including regression, classification, k-means, neural networks, and more.

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.

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 part-time 26-week data analytics bootcamp was designed for individuals entering the field of data analytics and looking to understand the foundational skills needed to succeed in a data driven career. Individuals will learn a wide range of data analytics tools and concepts, including advanced Excel, python, JavaScript, HTML, CSS, API Interactions, Social Media Mining, SQL, Tableau, Advanced Statistics, Machine Learning, R, GitHub, 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 26-week program not only receive a certificate but also career planning assistance in order to be well prepared for a career in data analytics.