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Certificate (Online)

Data Science

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Professional Certificate

Data Science Course Online

  • Live Classroom
  • Part-Time
  • Expert Instructors

Earn a Data Science certificate to accelerate your data career with high-demand skills. Learn the foundations of Data Science, Python, data visualizations, modeling, machine learning, and more.

View the Course Package to access:

  • Tuition details and scholarships
  • Financing options
  • Employer sponsorship

Next Kickoff:

July 20

6:30 pm - 9:30 pm EDT

Enroll Now

Limited Capacity

Find a class that fits your schedule.

4.4 out of 5 stars Google
4.5 out of 5 stars Course Report
4.7 out of 5 stars Switchup

Learn Essential Data Science Skills Live, Led by Experienced Data Leaders

With the rise of big data, top companies around the world need Data Scientist teams that can collect, organize, model, and examine large amounts of data. In this course, 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.

Format

Online classroom. Live and expert-led.

Skill Level

Ideal for learners looking to upskill.

Real Outcomes

Build an interview-ready portfolio project.

Professional Certificate

Earn a BrainStation Data Science Certificate.

Upcoming Course Dates & Campuses

Due to COVID-19, some courses are currently being held online.

First Class Last Class # of Classes Class Times
July 20 September 21 September 21 10 Wednesdays 6:30pm - 9:30pm EDT Enroll Now
August 16 October 18 October 18 10 Tuesdays 6:30pm - 9:30pm EDT Enroll Now
August 17 October 19 October 19 10 Wednesdays 1:30pm - 4:30pm EDT Enroll Now
September 13 November 15 November 15 10 Tuesdays 6:30pm - 9:30pm EDT Enroll Now
September 13 November 15 November 15 10 Tuesdays 1:30pm - 4:30pm EDT Enroll Now
September 14 November 16 November 16 10 Wednesdays 9:30pm - 12:30am EDT Enroll Now
October 12 December 14 December 14 10 Wednesdays 6:30pm - 9:30pm EDT Enroll Now
October 12 December 14 December 14 10 Wednesdays 9:30pm - 12:30am EDT Enroll Now
November 14 February 6 February 6 10 Mondays 6:30pm - 9:30pm EST Enroll Now
November 14 February 6 February 6 10 Mondays 9:30pm - 12:30am EST Enroll Now
November 15 January 31 January 31 10 Tuesdays 1:30pm - 4:30pm EST Enroll Now
December 7 February 22 February 22 10 Wednesdays 6:30pm - 9:30pm EST Enroll Now
First Class Last Class # of Classes Class Times
September 20 November 22 November 22 10 Tuesdays 6:30pm - 9:30pm EDT Enroll Now
September 24 October 29 October 29 5 Saturdays 10:30am - 5:30pm EDT Enroll Now
Campus classroom preparing for class

This Course is Offered Online in Miami

First Class Last Class # of Classes Class Times
September 21 November 23 November 23 10 Wednesdays 6:30pm - 9:30pm BST Enroll Now
September 24 October 22 October 22 5 Saturdays 10:30am - 5:30pm BST Enroll Now
November 13 December 11 December 11 5 Sundays 10:30am - 5:30pm GMT Enroll Now
First Class Last Class # of Classes Class Times
September 20 November 22 November 22 10 Tuesdays 6:30pm - 9:30pm EDT Enroll Now
September 24 October 29 October 29 5 Saturdays 10:30am - 5:30pm EDT Enroll Now
November 13 December 11 December 11 5 Sundays 10:30am - 5:30pm EST Enroll Now
November 24 February 9 February 9 10 Thursdays 6:30pm - 9:30pm EST Enroll Now
First Class Last Class # of Classes Class Times
September 19 November 28 November 28 10 Mondays 6:30pm - 9:30pm PDT Enroll Now
September 24 October 29 October 29 5 Saturdays 10:30am - 5:30pm PDT Enroll Now
November 13 December 11 December 11 5 Sundays 10:30am - 5:30pm PST Enroll Now
November 24 February 9 February 9 10 Thursdays 6:30pm - 9:30pm PST Enroll Now

Unit 1

Data Science Foundations

Python programming has emerged as an essential tool for data science. Launch into the course by learning the Python programming language, and use leading data science packages like NumPy and Pandas. With these tools in place, you’ll complete a variety of hands-on projects with code and learn to query data and perform data manipulation, building a strong foundation for what you’ll learn throughout the rest of the course.

  • Python
  • Anaconda
  • Notebooks
  • NumPy
  • Pandas
Key Skills:
Python Fundamentals
Data Queries & Data Manipulation
Data Organization
Programming Fundamentals

Learn Python Fundamentals

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.

Explore Essential Data Science Tools

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

Manage and Analyze Data

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.

Unit 2

Data Cleaning, Visualization, & Analysis

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 your data into a compelling data visualization, and use Python packages to facilitate additional statistical analysis, so you can tell an effective story with your data and get the most out of your work.

  • Python
  • Seaborn
  • Unit 2 tool: bokeh.svg
  • Unit 2 tool: matplotlib.svg
Key Skills:
Data Analysis
Data Wrangling
Data Visualization

Create Data Visualizations

Using Python packages, learn to create a variety of data visualizations. Understand the use cases for each data visualization so you know when to use them.

Clean and 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.

Unit 3

Statistics & 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 to create models that help you make a predictive analysis.

  • Python
  • Pandas
  • NumPy
  • Unit 3 tool: matplotlib-white.svg
  • Statsmodels
Key Skills:
Statistics
Data Relationships
Hypothesis Testing
Data Modeling
Predictive Analytics & Extrapolation

Learn Essential Statistical Analysis Concepts

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

Define and Test Your Hypothesis

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

Create Data Science Models

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

Unit 4

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.

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • SciPy
Key Skills:
Machine Learning Fundamentals
Data Classification Models
Decision Trees
Model Evaluation
Categorical Predictions

Explore the Fundamentals of Machine Learning

Discover what machine learning is and how to apply it effectively within the real world. By understanding the constraints and techniques, you’ll be prepared to identify opportunities for machine learning, and take the steps to implement it.

Understand Machine Learning Models

Learn a variety of machine learning models and machine learning algorithms, along with the scenarios they are used in. Explore models like decision trees, Naive Bayes classification, regression model evaluation, cross-validation, and more.

Taught by Experienced Industry Experts

BrainStation Instructors are experienced practitioners who work at the world's most innovative companies. They're experts in their field, and enter the classroom with years of experience making sure you're learning the most up-to-date and practical skills companies around the world need.

Isaac White

Isaac White

Principal Measurement Lead at Google

Nada Salem

Nada Salem

Data Scientist & Product Manager at Spotify

Wenjie Sun

Wenjie Sun

Product Analyst at Google

Yann Kiraly

Yann Kiraly

Product Analyst, Data Science at Google

Olga Milkovska

Olga Milkovska

Senior Insights Analyst at LinkedIn

Isaac White

Isaac White

Principal Measurement Lead at Google

Nada Salem

Nada Salem

Data Scientist & Product Manager at Spotify

Wenjie Sun

Wenjie Sun

Product Analyst at Google

Yann Kiraly

Yann Kiraly

Product Analyst, Data Science at Google

Olga Milkovska

Olga Milkovska

Senior Insights Analyst at LinkedIn

Built With Experts From The World's Most Innovative Companies

BrainStation partners with industry experts when building all of our courses, ensuring every course covers the latest industry-relevant topics and tools businesses need. We continue to work with our network of experts to update our courses so they're always up to date.

Build and Showcase Your Data Science Portfolio Project

Showcase everything you’ve learned with a unique portfolio project by completing a real-world analysis on a data set of your choosing. Every week in your Data Science class, you’ll be provided with clear steps to develop your final project. By the end of the course, you’ll have used programming to collect data and complete data wrangling, developed a hypothesis, and modeled your data to prove or disprove it. Finally, you’ll construct a data visualization to present your insights in a meaningful way.

project screenshots

View Tuition, Financing Options, and More in the Course Package

View the Course Package to access:

  • Tuition details and scholarships
  • Financing options
  • Employer sponsorship

Earn a BrainStation Data Science Certificate

Upon completing BrainStation’s Data Science Course, you’ll receive an industry-recognized professional certificate to share with your network and showcase all that you’ve learned. BrainStation certificates are formatted for sharing on LinkedIn.

Learn in our State-of-the-Art Online Classroom

Instructor-Led, Live Online Courses, From the Comfort of Your Home

In all our online courses, learn from BrainStation's industry-expert instructors through real-time, interactive classes in an engaging classroom environment.

Interactive, Project-Based Learning

Join breakout room sessions in smaller teams as part of the hands-on projects in our online courses, where you will collaborate and learn together.

Community Beyond the Classroom

During your online course, engage with your classmates and instructors in BrainStation’s Slack community, where you’ll receive updates and support. Stay connected and in the loop throughout your online course.

What Our Graduates Are Saying

Dylan Hebb

Dylan Hebb

Senior Consultant at Content Bloom

When you take a BrainStation course, you're learning with some of the very best in the industry. You collaborate with product managers, digital strategists, UX designers, and all kinds of other backgrounds.

#brainstation #BeFutureProof #LearningAtBrainStation #remotelearning

Andrew Gosine

Andrew Gosine

Product Designer

Our instructor... was clear, detail oriented, and made the learning environment safe and collaborative. We got a lot of real world examples from him, and all the little details he shared made this entire course special, and more than simply reading a textbook.

Overall, I'm a big advocate for Brainstation's courses - they've proved to be extremely valuable in my career.

Chandni Shah

Chandni Shah

People Analytics Partner at AIG

The knowledge I gained through BrainStation supports my career by enabling me to do my role more confidently and efficiently... The most valuable skill I learned was being comfortable with being uncomfortable. Expanding your horizons can cause short-term discomfort in exchange for long-term growth.

Read Full Testimonial
Aiden Feltkamp

Aiden Feltkamp

The data science course is great... Through this class, I learned how to clean and model data, which is the basics of machine learning. The teachers were fantastic and they related everything to practical use. It's fast-paced, but the teachers are great at keeping you up to speed. I would highly recommend this class to anyone who's looking to start on machine learning and data modeling.

Join our growing community of 15,000+ alumni.

Frequently Asked Questions

Data Science 101

What Is the Difference Between Data Science and Data Analytics?

If you want to become a Data Scientist, you should know this is not the same thing as becoming a Data Analyst, which is typically a more junior position. A Data Scientist, generally speaking, has more technical knowledge and expertise, and data science positions are usually more senior in nature compared to data analysis positions.

BrainStation’s Data Science course can be considered an intermediate-level data science course, as it dives into prescriptive and predictive analytics, machine learning, artificial intelligence, statistical analysis, and programming languages. BrainStation’s Data Analytics course, on the other hand, is more beginner-friendly with a focus on descriptive analytics, business intelligence, and the industry-standard tools and software Data Analysts need to learn to use like Microsoft Excel and SQL databases.

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