Pragmatic Data
Reshaping the future of data-driven success.
Experience data science training that translates into actionable data skills and embraces a business-oriented approach, empowering you to seamlessly integrate data into everyday decision-making.
Elevate your team’s capabilities and drive success in the dynamic landscape of today’s data-driven business environments.
The Data Incubator Bootcamps
The Data Incubator Bootcamps
The Data Incubator Bootcamps
Corporate Data Science Training from Pragmatic
Our data science courses cater to a wide range of professionals, from business leaders seeking practical data training to technical training for business analysts, data analysts, data scientists, and software engineers.
Elevate your team’s capabilities with data courses designed for business leaders with little to no experience with data. These courses will empower you to confidently utilize data in day-to-day business operations and decision making.
Deepen your knowledge and enhance your career with data science courses developed by industry experts. These courses are designed for those with a strong educational background and analytical skills.
Take your skills further with our technical data science courses. Designed for data professionals, these expert-led courses offer hands-on guidance and practical knowledge you can immediately apply in your work.
Data Training for Business Leaders
Empower your business leaders and teams with practical and powerful data harnessing skills. Our data courses provide practical data skills and hands-on instruction led by industry experts.
Data Science for Business Leaders
This 7-hour data science online course helps business leaders learn how to partner with data professionals to uncover opportunities and drive results. Created for those with little or no data experience, this course will empower you to better understand and leverage data.
Business-Driven Data Analysis
This 8-week online course shows you how to translate business problems into actionable insights and communicate those insights to diverse stakeholders. Designed for experienced data analysts, this data course arms you with a proven and repeatable approach to data analysis.
Navigating Ethics in Analytics
This course explores the ethical, privacy, and legal dimensions of data and analytics. Taken as a half- or full-day live online course, it is ideal for professionals who use analytics, including risk management, legal, and compliance leaders. You’ll explore the challenges of collecting and analyzing data responsibly, ethical decision-making, and legal frameworks around data practices.
Winning the Room with Data-Driven Presentations
This course delves into the art of crafting impactful data-driven presentations for a non-technical audience. Available as a half- or full-day live online course, it’s designed for business or technical professionals that present data and analytics content. You’ll learn to communicate complex data in engaging ways, focusing on storytelling, clarity, and visual effectiveness while maintaining accuracy and credibility.
Generative AI For Business Leaders
This course is for executives that want to understand the business impact of AI and gAI. Ideal for those without an analytics or data background, you’ll get a foundational understanding of how the technology works and how to use it to meet business objectives. By the end of this course you’ll be able to weigh the benefits of AI and gAI, as well as understand the limitations, tradeoffs, and legal and ethical implications.
Data Science Semi-Technical Courses
Embark on a 4-week data wrangling journey tailored for those with little to no data experience. This online course will guide you through the basics of Python and pandas, enabling you to transform raw data into more readily used formats and apply basic data analysis techniques to solve real-world problems. This course will prepare you with the necessary tools to ingest, process, and analyze numeric data from a variety of sources.
By the end of the course, you’ll be equipped with practical and powerful data-wrangling skills you can immediately apply.
Discover the dynamic landscape of AI and Machine Learning (ML) in our hands-on 4-week online course. Designed for those with basic Python and pandas experience, you’ll learn how to apply data science skills to solve everyday business challenges. The course will deepen your understanding of key ML concepts, including regression, classification, and clustering, using advanced tools like scikit-learn.
By the end of the course, you’ll grasp machine learning fundamentals, construct and train models, automate data transformations, and evaluate ML algorithm performance.
Explore the world of generative AI and Large Language Models (LLMs) in our engaging 4-week online course. Created for those with basic Python and pandas experience who want to use data science skills to solve business problems. This course will introduce you to the practical applications of LLMs, including prompt crafting and natural language processing.
By the end of this course, you’ll understand LLMs, craft prompts, extract sentiment and topics from text, and process and analyze data with confidence.
Data Science Technical Courses
This 4-week online course is for analysts or those pursuing a data science career. It covers the fundamentals of machine learning and how to apply them with scikit-learn. You will learn how to build models that will be useful in a business context, including regression, classification, clustering, and dimensionality reduction. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will have a thorough understanding of machine learning including linear and logistic regression, model evaluation, and strategies to prevent overfitting.
This 4-week online course is for analysts or those pursuing a data science career. It explores advanced machine learning and specialized areas like natural language processing, time series forecasting, and recommendation engines. The course includes hands-on experience, two projects, and office hours for additional support.
By the end of the course, you will have expanded your ML knowledge and gained practical experience by building a recommendation engine and time series forecasting model.
This 4-week online course is designed for analysts, those pursuing a data science career, and those looking to improve their data communication skills. It focuses on transforming complex data into clear, visual narratives using Python visualization libraries and tools like Matplotlib, Seaborn, and Altair. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of the course, you will have a deeper understanding of how humans interpret visual information and how to create powerful graphs and interactive visualizations.
This 4-week online course is for analysts or those pursuing a data science career. You’ll get hands-on experience in building, training, and customizing models using TensorFlow and Keras. Starting from implementing simple networks by hand, this course builds to making use of advanced pre-trained models with transfer learning. You’ll complete a practical mini-project on image classification, with the help of guidance during office hours.
By the end of the course, you’ll be familiar with convolutional neural networks, recurrent neural networks, and adversarial noise.
This 4-week online course is for analysts or those pursuing a data science career. It covers the fundamental concepts of distributed computing, working with PySpark using DataFrames and RDDs, and SparkML for machine learning. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will know how to use PySpark to process large data sets, analyze both structured and unstructured data, build machine learning models on large scale data, and deploy Spark jobs to cloud services.
This 4-week online course is for analysts or those pursuing a data science career. It starts from the basics of SQL queries and builds to advanced techniques, table management, integrating SQL into Python, and window functions. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will understand the foundations of SQL queries and know how to interface Python with SQL for effective data analysis.
Data Engineering Technical Courses
This 4-week online course is ideal for technical professionals with a foundation in analytics or data management. It dives into the role of databases in AI applications, covering the design and management of relational database systems (RDBMS) coupled with practical SQL query training. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will have a thorough understanding of the role of RDBMS in AI, relational database fundamentals, and SQL querying.
This 4-week online course is for technical professionals interested in transitioning data analytical workloads to the cloud. It offers a comprehensive introduction to cloud computing, covering key concepts, services, and best practices, with a focus on Amazon Web Services (AWS). The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will be proficient in using cloud-based storage and compute resources, particularly AWS S3 and Lambda, to solve business problems.
This 4-week online course is designed for technical professionals interested in mature machine learning practices (MLOps). It covers the essentials of managing, deploying, and monitoring machine learning in production, with a focus on practical applications. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will be well-versed in the steps of MLOps, know how to track experiments in scikit-learn, and understand how to identify common anti-patterns.
This 4-week online course is tailored for technical professionals including software engineers, data scientists, and big data architects. It delves into the core principles and practical applications of modern data storage solutions, including data lakes, data warehouses, and vector databases. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will have a comprehensive understanding of contemporary data storage architectures, including the construction of data lakes and data warehouses on AWS.
This 4-week online course is ideal for technical professionals interested in large-scale data engineering. With a focus on Apache Spark and its applications in data processing and analysis, you will gain practical skills in using it for data processing, transformation, and analysis. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will have practical Apache Spark skills for data engineering, focusing on ETL processes, data transformation, and analysis.
This 4-week online course is designed for technical professionals interested in real-time data processing. It offers a comprehensive introduction to building streaming data systems using Apache Kafka and Apache Spark, both separately and in tandem. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will have a thorough understanding of streaming data concepts and the practical skills to architect and implement real-time data processing systems.
This 4-week online course is ideal for technical professionals aiming to enhance their data pipeline skills. It focuses on building scalable pipelines using Apache Airflow and AWS Lambda Service, teaching you to orchestrate, automate, and scale ETL workloads. The course includes hands-on experience, mini-projects, and office hours for additional support.
By the end of this course, you will have a solid understanding of data pipeline fundamentals, proficiency in Apache Airflow, and practical skills in utilizing AWS Lambda.
What Our Pragmatic Data Alumni Are Saying
The projects allowed me to make the transition from part-time programmer/data scientist to adopting and using analytical problem solving and programming skills full time. I find I learn best by doing things myself, and these projects effectively provided me with that opportunity.
ERIC JAEHNIG, DATA SCIENTIST
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