Data Science Bootcamps Dallas, TX

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.

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.

Data Science Flex is a 6-month part-time program that will prepare you to to be a data scientist. This program comes with a tuition back guarantee if you can't land a job within 6 months after your graduation. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.

This course offers a rigorous introduction to data science in 24-weeks. This program is intended for beginners and will prepare them to take on careers as database administrators, data scientists, and data engineers. The curriculum covers Python, SQL, Excel, Tableau, and JavaScript, giving students a foundation in data science and visualizations. Students will leave the program with a valuable professional portfolio, ready to show future employers.

This data science bootcamp offers the ability to learn online with a 16-week full-time schedule or a 24-week part-time schedule. Students will learn how to use tools such as Python, R, Hadoop, and AWS to facilitate data visualization and analysis, machine and deep learning, and building statistical models. This program culminates in a professional capstone experience.

This immersive 20-week data science program will teach students with no prior data science experience the foundational skills needed to launch a career as a data analyst or data scientist. The program covers a wide range of data science concepts and tools, including an introduction to data science, applied statistics, SQL, Python, regression analysis, classification, clustering, time series analysis, anomaly detection, natural language processing, and more. The program concludes with a full stack web application capstone project, where students have the opportunity to showcase the skills they developed throughout the length of the program. The final weeks also include career preparation, including soft skills training, resume writing, online branding, and interview preparation.

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

Data Science is a 8-week part-time remote course taught from 6PM-9PM on Tuesdays and Thursdays. It introduces Python and its data science packages to clean, analyze, and visualize data. It also teaches you how to train machine learning algorithms. On the last week, you'll have a chance to work on your capstone project and present your work to your peers.