Data Science Classes Irvine, CA

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 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.

In this part-time bootcamp, students learn necessary programming skills to manipulate databases and perform various levels of analysis on the data. This program prepares students for entry-level data science and Python engineering positions.

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.

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 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.

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.

This 18-hour Machine Learning & Automation for Finance course teaches advanced skills in machine learning in Python. Students in this course will develop advanced skills in the Python language, learn how to use object-oriented programming and regression models, and apply these concepts to a real world problem. They will also learn how to use Python to build predictive financial models and to create budgets that may be exported.