Find out how Data and AI are revolutionizing the new business paradigm.

Join the Revolution!

Consider Attending if You Are:

Advancing Your Career

Changing careers

Transitioning from Academia

Looking for a job

supplementing a skillset

We deliver the most relevant and sought-after data skills to students at every point in their data science careers. From data dabblers to PhDs and professionals looking to increase their data skills, you can take your career to the next level or make that leap into data you've been looking to take with help from Pragmatic Institute.

Success stories

Yutong P.
Machine Learning Engineer
Apple

"I´m working as a Machine Learning Engineer at Apple, and my job is to use machine learning to help Apple improve its products. So far, I´m absolutely loving the experience."

Marc E.
Computational Linguist
Google

"Now I´m working at Google, after doing a year at an ad-tech company, coming out of the Fellowship. I´m helping to build out capabilities for Google Assistant, Read more so that it becomes more and more like speaking to a person, and can cover more and more capabilities that people might actually want from their digital assistants." Less

Wendy N.
Data Scientist in Analytics
Facebook

"I am going to be a data scientist in analytics at Facebook. In this role, I will be collaborating with engineers and product managers to create and improve Facebook products. Read more I look forward to helping my team use data to drive decision making in a rigorous and evidence-based manner." Less

Aurora L.
Data Scientist
Verizon Wireless

"Currently, I am a Data Scientist at Verizon Wireless. At Verizon Wireless we build predictive models to determine, among things, who is most likely to Read more stop using our service (i.e. churn). With these models, we have achieved the lowest churn rate of telecommunication companies around the world (~1%). I make use of many Machine Learning concepts along with programming languages (R) and relational databases (Teradata SQL Assistant) to complete both short and long-term goals." Less

Lindsay B.
Data Scientist
DuPont Pioneer

"I´m a data scientist in the Data Science & Informatics department of a large agricultural company ­ DuPont Pioneer. I´m currently focused on understanding and improving Read more models for predicting field nitrogen content for growers. I work remotely from my home office in Pittsburgh, and I love what I do. I never envisioned myself working towards big-data solutions for farmers, mostly becauseI´d never considered how many issues they face that can be improved by data science endeavors. I´m glad that Pioneer persuaded me to think twice about it! The data science of agronomy is picking up pace, and there are so many complex, interesting problems left to solve. Though I love what I do, the best thing about my company is absolutely the people ­ they have universally shown themselves to be kind, clever, and generous with their time. I feel valued, and I´m thankful for finding such a great fit." Less

Armand Q.
Data Scientist
KPMG

"I have been hired by KPMG, a professional service company and one of the Big Four auditors. KPMG has hired me as a data scientist in their Lighthouse Data Read more & Analytics Center of Excellence. I will be helping KPMG execute their strategy in helping leaders embed data and analytics in every aspect of their businesses, including how decisions are made, how processes are operated, and how people are enabled." Less

Data science courses

Designed for data enthusiasts by data enthusiasts, our five data science courses built on the skills from the previous course to give you a cohesive, comprehensive education. Our live, hands-on instruction with real data scientist instructors and real-world data ensures that you walk away with actionable skills and techniques that you can use immediately.

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Data Science I: Essential Tools

Answer complicated questions, uncover greater insights and learn in-demand skills with Python and the power of data science.

Data Science II: Practical Machine Learning

Deliver data-driven results and predict the future by building machine learning models that change every aspect of your business.

Advanced Machine Learning

Explore a larger world of analytical opportunities through advanced machine learning techniques and master unstructured data.

AI with TensorFlow

Deepen your understanding of machine learning, neural networks, deep learning and AI, and apply them to your business.

Data Visualization with Python

Develop and communicate dynamic and data-driven insights for all audiences.

Why attend?

Experienced Teachers

Analysts and related positions who have reached the limits of spreadsheets and desire to expand, as well as those interested in pursuing a career in data science.

Jumpstart Your Career

Learn the most sought-after tools and techniques in the industry to help jumpstart your data analyst career.

Designed for Working Professionals

This course was designed for the busy lives of working professionals with a part-time schedule and recorded lectures.

Build a Series of Miniprojects

Gain hands-on experience applying the tools employers value to real-world data sets. All powered by a 100-node cluster.

Live Lectures

Live lectures allow you to ask your instructor questions and interact with your classmates.

Small Class Sizes

Small class sizes ensure you have plenty of access to your instructor and can receive personalized feedback on your progress.

Why attend?

The Data Incubator Connection

Pragmatic Institute's data science curriculum is powered by leading data scientists at The Data Incubator who bring an understanding of the latest and most versatile tools and technologies, as well as hands on experience working with hundreds of companies and universities worldwide.

Frequently Asked Questions

What is the Data Science Curriculum?

Pragmatic Institute's data science curriculum is a set of 5 courses designed to enhance the skill of every data science practitioner. These 5 courses were created by our leading data scientists using the latest tools and programs so you can harness the power of data. Each course builds on the information learned in the course previous, and students of every skill level can benefit from these courses. Whether you are new to data science, are an academic looking to move into the business world or are a seasoned data expert who wants to expand your skills, our data science curriculum will help you achieve your goals.

Are there prerequisites for the Data Science Curriculum courses?

Our courses are designed to build on the knowledge and skills learned in the previous course. We recommend that budding data science experts begin with our Data Science I: Essential Tools course, which is the foundation for out other courses. If you believe that your current data science skills already surpass this class, please feel free to take the assessments located on any of our data science course pages and see which course is best for you.

For those interested in Data Science I: Essential Tools, we recommend that you possess the following skills in order to get the most out of this class:

  • Basic boolean algebra such as concepts of "or" and "and"
  • Understanding conditional statements
  • Basic statistical definitions (mean, median, mode)
  • Basic linear algebra (metrics, arrays)
  • Common file formats like Comma Separated Values (CSV)

How much do the online practical data science courses cost?

Our online data science courses range in price depending on the length of the course. Please visit the specific course pages to find more information.

What is the Pragmatic Data Certification?

The Pragmatic Data Certification tells the world that you have now reached a certain level of data science expertise. Each of our practical data science courses is integrated with ongoing lab and project work that lets you put what you've learned to the test and for us to assess your proficiency. When you pass, you'll become Pragmatic Data Certified and will receive a certificate and digital badge you can use to showcase your newly-earned skills.

Thousands of companies are looking for highly-trained and qualified data scientists, and your Pragmatic Data Certification will proudly display that you have the skills they're looking for.

Do I have to bring my own computer or purchase tools and programs before the course?

Yes, you will need to bring a laptop, but you won't need to purchase any tools or programs for the course. We'll provide you with a cloud-based system that has all of the tools and programs you will need to complete the course. It is included in the cost of your registration.

What are the different benefits of training in-person or online?

Online training allows you to maintain your usual work schedule while building your skills in the evening when things are less hectic. We design our online classes to be convenient for our students, so you only have to make yourself available for a few hours each week in the evening to learn and master your new data skills. This is a great option for those who want to learn new data skills but don't have the ability to take time from work to attend training.

Public, in-person training is just as impactful as online training, but instead of spread out over multiple weeks, you get all the same great education in 3 days. We design our public courses to help you master top tools and techniques as quickly as possible so you can start implementing your skills at work immediately. This is a great option for those who want to have one-on-one time with their instructors, network with other data professionals and want to learn and apply their training quickly.

How does Pragmatic's Data Science Curriculum compare to a traditional academic degree program?

Pragmatic's Data Science Curriculum was created by The Data Incubator's expert data scientists with real-world industry experience and PhDs in advanced mathematics or computer science topics. In terms of content and complexity, our curriculum is closely comparable to academic degree programs, however we focus on real-world examples and hands-on learning that won't be found anywhere else. While academic degree programs tend to focus more on theory, Pragmatic's curriculum focuses on practical skills that industry-leading companies are training their organizations in.

Why should I take data science training from Pragmatic Institute?

Pragmatic Institute is the world leader in product management and data science training. For over 25 years, we've trained more than 150,000 students from over 8,000 companies in 25 countries to become stronger product managers, product marketing managers, business leaders and data scientists.

Our courses have been designed and perfected by the experienced data scientists from places like MIT, Cornell, Verizon and JPMorgan Chase. Each of our data instructors has gone through our rigorous training and has worked as a data scientist at some of the biggest companies in the world.

We've worked with companies of every size to harness the power of data and improve the way they do business. Let us help you.

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