Data Science 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 for students to refresh the material.

This online data science program is meant to get students ready for a career in data science. The program covers the key components for data science, including SQL, Python, statistics, and machine learning. Students will start coding in Python using Jupyter notebooks, learn the statistics behind machine learning, apply machine learning techniques, and work on data science projects in this data science course. Students will also receive career coaching and job support during the program for help finding a job in data science. The online program offers flexible scheduling options, including full-time over 5 months, part-time over 10 months, and self-paced for up to 15 months.

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.

This full-time, accredited data science bootcamp covers data wrangling and exploratory data analysis using Python's statistical and data visualization packages. It also teaches regression techniques, web scraping, classification techniques using supervised and unsupervised models, and natural language processing. Finally, the courses finishes off with a capstone data science project where students can showcase their knowledge and talent.

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.

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 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.