Data Science

BrainStation’s Data Science course was created to help you develop job-ready data skills. Earn a Data Science certificate while learning the foundations of data science, how to create dynamic data visualizations, data modeling, machine learning techniques, Python for data analysis, and more.

With the rise of big data, top companies around the world need teams of data scientists to collect, organize, model, and examine large amounts of data. In BrainStation’s data science courses, you will learn the foundations of data science and perform an end-to-end statistical analysis, learn to make data-driven predictions, and present results in a data visualization.

Introduction to Data Science

The Python programming language has emerged as an essential tool for data scientists. In the first unit of BrainStation’s Data Science certification course, you will learn Python for data science through a series of hands-on data science projects. You will learn data manipulation techniques, how to analyze data, and how to use NumPy, Pandas, and the best Python libraries for data science, helping you to build a strong foundation for what you’ll learn throughout the rest of the Data Science course.

Python for Data Science

Python is one of the most important tools for a data scientist. Through real-world projects, quickly get up to speed with the Python and programming basics you'll need in the field of data and as a future data scientist.

Python Libraries for Data Science

Learn how to apply Python packages like NumPy and Pandas to perform practical, real-world data analysis and uncover business analytics insights.

Data Analysis Techniques

Discover how a data scientist can integrate different data sets in order to discover new actionable insights by using techniques such as joins, sorting and grouping, and transforming and aggregating.

Data Wrangling and Data Cleaning

A Data Scientist requires great data to perform great data analysis. Learn data cleaning and data wrangling techniques to ensure your data is organized, structured, and consistent. Learn to translate raw data into interesting data visualizations, and use Python packages to facilitate additional statistical analysis, so you can understand how to tell a story with data and get the most out of your work.

Beautiful Data Visualization

Using Python packages, learn to create different types of data visualization. Understand the use cases for different data visualization examples so you know when to use them.

Prepare Data

Learn the essentials of data cleaning and data wrangling so you can prepare your data sets for statistical analysis, modeling, and decision making.

Data Modeling

Review important statistical analysis concepts and learn how they apply to data modeling and decision making. Using real data problems encountered in the data science field, learn to build both linear and categorical models, and understand when to use them. Practice applying these techniques 

Statistics for Data Science

Review statistics foundations like the measures of central tendency and dispersion, covariance, and correlation, and understand how to incorporate them into your data analysis.

Hypothesis Testing

Practice how Data Scientists perform hypothesis testing as part of their exploratory data analysis. Learn how to calculate and apply statistical significance, and more.

Data Models

Learn different modeling techniques for numerical and non-numerical data. Build and run various types of data science models on real datasets to uncover patterns and make predictions.

Introduction to Machine Learning

Machine learning has emerged as a truly disruptive technology and data science capability. Discover common machine learning techniques and machine learning algorithms, and learn how they’re applied in practical, real-world scenarios.

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

BrainStation's Data Science course is a flexible, professional development course offered on a part-time basis. Taught by industry experts, the Data Science course is a project-based, hands-on learning experience, allowing you to develop high-demand data science 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, data mining, big data, natural language processing, and practical machine learning skills. By the end of the program, graduates will have the skills, experience, and portfolio needed to dive into a career in data as Data Scientists.