Learn Data Analytics

BrainStation's data analytics courses will help you build the job-ready data skills that are indispensable in today's modern workplace. With more and more data being generated every day, businesses need data analysts to analyze data and communicate insights with data visualization tools.

Led by experienced data professionals, BrainStation's online Data Analytics Course will allow you to learn data analysis, teach you how to work with industry tools and complex datasets, and help you develop essential data skills and knowledge.

When you complete BrainStation's data analytics courses, you'll graduate with a polished portfolio of real-world data projects.

Intro to Data Analytics

BrainStation's Data Analytics courses begin with an introduction to data that covers data concepts and techniques. You'll start your data learning journey by developing a framework for solving data problems and learning how to prepare and collect data for data analysis. Translate your learnings into job-ready skills by solving real-world problems with a variety of data sets.

Apply a Data Strategy.

Set yourself up for success by approaching data analysis correctly. Learn data analysis and apply strategic principles with an interactive problem-solving methodology to analyze data.

Learn Data Cleaning

Learn essential techniques to help you prepare and clean raw data, as well as reduce bias, in order to support effective data analysis. Explore the critical statistical analysis concepts used in data analysis.

Excel Data Analysis

Take your Microsoft Excel skills to the next level, exploring everything from basic formulas to advanced functions and powerful tools that drive efficient data analysis and accurate results.

Database Operations and Advanced Data Analytics

In the next unit of BrainStation's Data Analysis course, you'll go beyond the spreadsheet with relational databases. By learning how to use MySQL, a data industry-standard tool used by companies like Tesla, Netflix, and more, you'll discover how databases are constructed and organized for data analysis. Learn how to write SQL queries through real-world projects to explore a database and perform more advanced operations and analysis.

Data Visualization

Completing your data analysis is only the start. In the final unit of BrainStation's Data Analyst course, you'll discover how to present actionable insights effectively through data visualizations by using Tableau, the world's leading business analytics platform.

Go beyond simply presenting analysis results by learning best practices in storytelling with data and helping drive effective decision-making informed by real data insights.

Learn Database Fundamentals

Working with larger data sets and performing more complex data analysis requires an understanding of relational databases, schemas, and other core data concepts used by data analysts as part of many industry tools.

SQL for Data Analysis

Explore the foundations of programming languages and learn Structured Query Language (SQL), the best programming language for data analysis.

Advanced Data Analytics

Learn how to write advanced expressions to help you surface key data points, highlight patterns, and augment your search capabilities within large data sets.

Large Data Sets

Speed up your analysis and reduce complexity by learning a systematic approach to normalizing data, along with important techniques for combining and sorting information.

What Is The Difference Between Brainstation's Data Analytics Course And The Data Science Bootcamp? 

BrainStation's Data Analytics course is a flexible, professional development course offered part-time. Taught by industry experts, the Data Analytics certificate program is a project-based, hands-on learning experience, allowing you to develop data analysis skills and learn the latest data tools and technologies.

BrainStation's Data Science bootcamp, on the other hand, is an intensive learning experience designed to transform your skillset and help you launch a new career in data.

Throughout the program, students develop and complete five projects including one major portfolio piece, using real-world data, big data, and machine learning. By the end of the bootcamp, graduates will have the skills, experience, and portfolio needed to dive into a career in data.