Data Science Classes California

The Data Science Bootcamp from Flatiron is designed to be a comprehensive data science program for students to start careers in data science. The program runs for 15-weeks and 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. In addition to the coursework, students will receive career coaching and job support during the program.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

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.

Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.

This 24-week course teaches students the fundamental principles of data science and visualization. Using authentic, real-world data sets from government and business sectors, students will learn how to use Python, JavaScript, HTML/CSS, Tableau, and more. Students will have access to extensive tutoring and career services. They will produce a portfolio of work to show future employers.

This data science program is a beginner-friendly bootcamp designed for individuals interested in learning the best practice of working with data and understanding how to gain insights from large data sets. In this hands-on bootcamp, students will get an overview of data science, including the various roles within data science and how to recognize and solve problems with data science. Students will also discuss how to use some well-known statistical models and how models fit into a data science project. Finally, students will explore various tools, including data visualization, analytical, and modeling tools essential in the field of 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.