Data Science Classes 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.

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 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.

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.

If you have problems spelling Data Science Fundamentals, this 5-week introductory course is for you. This course is ideal for people like old-school business analysis, complete beginners, and non-technology managers. Using cornerstones like Excel, SPSS, and Python, students learn basic statistical methods which help them solve simple statistical problems. This hands-on course incorporates a variety of techniques, such as lab exercises, pencil-and-paper note taking, and laptop usage, to help students truly connect with the course content and acquire the tools they need to improve their professional careers.

Explore the evolving data science domain in this 10-week intermediate level course. Data science effectively answers a number of questions, and students learn how to tap into this knowledge. Students acquire real-world skills such as data science notebook server configuration, the R programming language, problem statement preparation, and the basics of machine learning. Students who have basic Python skills usually excel in this class.

Find evidence-based solutions to real-world problems with a four-class Data Science Certificate program. Students may choose from an intensive 10-week option or spread their learning out for up to twenty-four months. Students immerse themselves in concepts like machine learning, data management and visualization, and statistical models, which prepares them for successful careers. Furthermore, students get hands-on experience with industry tools like Python, NoSQL, and Hadoop. To master this area, which is partly science and partly art, students take Introduction to Data Science, Exploratory Visualization and Data ANalysis, Managing Big Data with Hadoop, and Machine Learning. Students with some data science experience or who have taken a basic data science course usually excel in this certificate program.

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

This immersive course prepares students to become Data Scientists with lessons in Python, machine learning, automation, and SQL. The courses are hands-on with multiple projects throughout that students can add to their portfolios.

This comprehensive 4-week computer science program was designed with experienced web developers in mind to help achieve a deeper understanding for data structures, algorithmic thinking, and modern blockchain applications. The course covers a broad range of advanced computer science concepts and tools, including JavaScript syntax, Arrow Functions, Hash tables, algorithms, whiteboarding, building a Node app, working with APIs, Web sockets, Task automation, MongoDB, ORMs, a database review, and more. The course concludes with a final project, where students will have an opportunity to showcase the knowledge they gained in the program by building a complex full-stack application.