Data Classes Denver, CO

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.

This one-day intermediate Excel class is designed to teach Excel users how to use more advanced Excel functionalities. Participants will learn more advanced text functions, data validation, sorting and filtering techniques, lookup functions, IF statements, PivotTables, and navigation shortcuts to become more powerful Excel users. This course also offers free access to CoWorking space on class days and one month of technical support.

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 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 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 1-day introduction to Excel is designed for beginners to get up and running with Excel. The course starts with basic Excel functionality and builds up a variety of foundational skills. Topics include data entry, calculation, text functions, formatting, charts, and Excel tips for efficiency. This course also offers free access to CoWorking space on class days and one month of technical support.

This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.

Go beyond basic Microsoft Excel spreadsheets in this one-day course on Functions and Formulas. Students will explore advanced topics such as auditing tools, text functions, reference functions, name ranges, logical functions, trendlines, and secondary axes. This course also offers free access to CoWorking space on class days and one month of technical support.

This 1-day introduction to Microsoft Excel teaches participants how to create, manage and work with spreadsheets. Throughout this experience, students will learn how to use Microsoft Excel to organize and analyze data. They will gain practice with writing formulas, creating tables, and presenting data in charts and reports.

Intermediate Microsoft Excel users can improve their skills with this 1-day program. This program explores the advanced editing tools of Excel, such as text-wrapping, borders, and effects. Students will learn how to adjust page layouts, insert page and section breaks, and handle multiple window views.