Data Science Bootcamps Nashville, TN

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 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.

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.

Launch your data science career with this nine-month bootcamp. Motivated working professionals with a background in software engineering, quantitative research, and/or statistical reasoning benefit most from this class. Data science essentially combines all three of these disciplines. Through hands-on learning, students apply mathematical, analytical, and statistical skills to real-world business problems, using tools such as Python, AWS, Spark, and Hadoop. Overall concepts include curating and managing data, exploratory data analysis, supervised and unsupervised machine learning, data visualization, and natural language processing.

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 six-month part-time data analytics boot camp effectively prepares working professionals for a new career in this emerging field. Through hands-on learning in widely-used tools, such as SQL, Power BI, Tableau, Python, and Excel, students apply statistical reasoning to everyday business problems. This process uses actual data from local companies in a variety of business lines. Participants also examine concepts like analytics workflow and exploratory data analysis. Finally, students learn how to use storytelling, dashboards, and report-building to effectively present their findings.

Ready yourself for a data analytics career with this fifteen-week bootcamp. Through hands-on learning in commonly used tools, such as Power BI, Tableau, Excel, SQL, and Python, students use statistical reasoning to solve everyday problems in the business world. This bootcamp also covers analytics workflow, exploratory data analysis, and reporting techniques. Participants learn more than theories. They also use real information from area businesses to perfect their data analytics skills.

This program provides a comprehensive foundation in data analytics in 24-weeks. This course covers the fundamentals of statistics, Python, Tableau, SQL, and HTML/CSS. Graduates of this program will have a robust professional portfolio to share with their current employer or a prospective employer if they are searching for a new career.