Data Analytics Classes Baltimore, MD

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.

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

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 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 get them started in their careers.

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs. This course is offered in person and live online, in a remote classroom setting.

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 data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

In this comprehensive data analytics program, students will learn the technical and analytical skills they need to turn data into actionable insights. This 12-week program combines on-campus classes with online coursework for busy professionals looking to advance their skills outside of work hours. This course covers programming tools for data analysis and visualization, data analysis for decision-making, communication of results, statistical analysis, and more.

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 get them started in their careers.

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 data analytics course is a 1-day bootcamp designed for individuals interested in learning the best practice of working with data and understanding the data analytics roadmap. In this hands-on bootcamp, students will learn how data can help inform decision making, understand the data analytics workflow, and gain exposure to some of the most common tools used for data analysis. Students will also learn how to ask the right questions that can be answered with data, clean and analyze data with standard spreadsheet software (Excel/Google Sheets), and use Tableau to create dynamic visuals.

This course teaches basic SQL Querying in 2-days. Students learn online, attending live training provided by professional instructors. The course explores database concepts such as grouping and summarizing data, joining tables, and clauses. Working in the online lab environment, students will get hands-on experience writing simple SELECT queries and using built-in functions and expressions.

This 1-day online course teaches students how to compose Advanced queries in SQL. Based on Microsoft’s SQL Server, this program is delivered live by experienced instructors, allowing for real-time feedback. Students will learn how to write advanced queries, advanced WHERE clauses, and create advanced joining tables. They will practice these schools in an online lab environment, where they can collaborate with other students.

This course is a 4-day comprehensive workshop on MySQL workbench data modeling and development. This program uses an online lab environment to allow students to practice what they are learning. The live training covers topics such as creating an ERD, defining the physical schemata, reverse engineering a database, managing security, and more. Students will also learn how to use MySQL Workbench to create and maintain MySQL databases effectively.

In this 2-day course, students can learn how to use Tableau Desktop’s advanced tools to create data visualizations. While attending this online program, students will learn how to interact with Tableau Server, get their data ready, improve their level of detail calculations, and integrate with R. This course uses live instruction by experienced professionals. Students get to learn and gain hands-on experience in an online lab environment.

This 2-day course teaches the basics of Tableau Desktop. Live online instruction will cover topics such as advanced visualizations, forecasting, distributions, trends, and using row-level, aggregate, and level of detail calculations. Students will get hands-on experience working with Tableau in the online lab environment. At the end of the program, students will be able to build and customize their own data visualizations.

This 2-day course teaches students how to use Tableau 10 to create data visualizations. Covering topics such as data preparation, analytics, interactivity and story points, students will learn how to organize, analyze and visualize data. Business professionals who take this course will acquire the skills to use data to drive strategic decision-making.

Develop a solid design foundation in this two-day beginner-level Tableau training class. Through a combination of hands-on learning, instructor guidance, and class discussions, students import data from multiple sources and use it to create strong visualizations and engaging stories. Specific topics include Tableau interfaces, understanding techniques and best practices, leveraging the Tableau paradigm, workflow management, data analysis, data breakdowns, basic calculations, and guided data presentation.