Data Classes Baltimore, MD

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.

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.

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.

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 1-day Excel course is crafted to introduce beginners to the fundamentals of Excel in order to enable them to feel comfortable working with spreadsheets. This course covers the basics of spreadsheets, the layout of Excel, entering data, using common formulas and functions, and a variety of other helpful tips and tricks.

This 1-day Excel course is designed for individuals familiar with Excel but who are looking to bolster their knowledge of building professional looking charts. This course covers a lot of broad chart-related content, including creating and working with charts, incorporating various styles and themes, using print options, and best practices around using excel data in other office applications, like Word or PowerPoint.

This 1-day Excel course is designed for individuals familiar with Excel but who are looking to bolster their knowledge of the various database and PivotTables features. This course covers a variety of PivotTable essentials, such as using lists, table features, working with data, making and enhancing PivotTables, and much more.

This 2-day Excel course is designed for individuals with a strong background using Excel but want to refresh their skills and learn some of the newest features to enhance your Excel mastery. This course moves at a fast pace and covers many of the most widely used and popular Excel techniques that will make students faster, more dynamic, and less error prone when working with spreadsheets. Some of the topics include short-cuts, formatting charts and graphs, database features, PivotTables, Formulas, Macros, and more.

This 4-day Tableau Desktop course is designed for students who have no prior knowledge of Tableau but are interested in learning common techniques to create great visualizations and dashboards. This course will help students get started with tableau and covers the basics of working with data, visualization best practices, plus a variety of ad hoc and table calculations. This course also covers dashboard design, advanced analytics like clustering and forecasting, data cleansing, storytelling with data, and more.

This 2-day Tableau Desktop course is designed for students who understand the fundamentals of working in Tableau and are interested in learning advanced techniques to become a Tableau superuser. This course will start with a quick review of the basics and then move on to many more advanced topics, like data preparation, complex joins, data densification, advanced calculations, and moving beyond basic chart types. The course also covers mapping, best practices for presentations, advanced visualizations and dashboarding, interacting with the Tableau server, integrating with R, and more.