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Virtual Workshops and Certifications with Premier Training

Premier Training by Premier Analytics Consulting delivers virtual hands-on workshops in Python, R, SAS®, and SQL/NoSQL for students, professionals, and organizations ready to master AI, machine learning, data science, big data, and analytics.

Our virtual workshops feature real coding exercises and applied examples that teach participants how to use programming languages and frameworks the way experts do in industry and research. Each workshop includes guided exercises, downloadable materials, and a Certificate of Completion to showcase your skills and share with colleagues.

Whether you’re advancing your career or strengthening your organization’s capabilities, Premier Training offers affordable, certification-basedvirtual workshops designed to help you learn, build, and innovate with confidence.

Log in using your free My Premier Account to register and track your workshops, access materials, and earn certificates. Create Your My Premier Account to get started today!

Premier Training: Master Real-World AI, Data, Programming, and Analytics Skills

Affordable Hands-On, Certification-Based Workshops in Python, R, SAS®, & SQL 

Through your My Premier Account, you can easily register, access workshop materials, and track your certifications across all Premier Training courses. Each workshop provides applied skills development, guided coding exercises, and non-redistributable PDF slides and code notebooks for continued practice. Upon completion, participants receive a Certificate of Completion to validate their skills and showcase professional growth, ideal for individual learners and organizational teams seeking structured, expert-led training in AI, machine learning, big data management, databases, and programming for data science and analytics.

Create Your Free My Premier Account

Start Learning, Earning, and Sharing Today. 
Empower your growth with free access to the Premier Training network. 

Create your My Premier Account to register for upcoming workshops, earn certificates, and build your portfolio of achievements, all in one place.

  • Register for upcoming training workshops in AI, ML, data science, programming and analytics sessions

  • Track your certifications and download badges to showcase your skills

  • Get early registration alerts and exclusive discounts on new workshops

  • Share your progress and inspire others by inviting your network to join

It’s free, secure, and takes less than a minute to get started.

Join a growing community of learners, students, professionals, and organizations advancing their careers through hands-on, real-world training.

Upcoming Virtual Training Workshops

Register Now to Save Your Spot

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A Python Workshop To Efficiently Access, Deliver, Visualize, and Analyze Big Environmental Data in the Cloud (2025)

Ryan Paul Lafler

Tuesday, December 2, 2025

10:00 am - 2:00 pm PT

Virtual 4-Hour Workshop (Half-Day)

$39.95

Unlock the power of Python to access, process, and visualize petabytes of environmental data in the cloud. In this 4-hour hands-on workshop, you’ll connect to real-world climatological and meteorological datasets, including the petabytes-large Coupled Model Intercomparison Project (CMIP6) and NOAA's hourly Real-Time Mesoscale Analysis (RTMA) data, stored in Amazon S3 and Google Cloud Storage. Learn to efficiently retrieve and analyze data using Dask, Xarray, and fsspec, all without downloading or storing massive files locally. From lazy loading and data chunking to spatiotemporal analysis and visualization, you’ll master the tools and workflows needed to work with big environmental data at scale.

Python, Big Data, Cloud Computing, Environmental Data, Amazon S3, Google Cloud Storage, Dask, Xarray, fsspec, Climate Data, Meteorology, NetCDF, GRIB2, Certificate, CMIP6, NOAA's RTMA

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Mastering the Machine Learning (ML) Toolkit: Training, Tuning, Evaluating, and Interpreting Predictive Models with Python

Ryan Paul Lafler

Wednesday, January 7, 2026

1:00 pm - 5:00 pm PT

Virtual 4-Hour Workshop (Half-Day)

$39.95

Unlock the power of machine learning with this hands-on, 4-hour Python workshop designed to turn data into actionable insights. You’ll learn how to build, train, and fine-tune predictive models using scikit-learn, mastering essential techniques for data preparation, model optimization, and interpretation. From exploratory data analysis to advanced ensemble methods, this session bridges theory and practice with real-world examples and clear instruction. Whether you’re a data scientist, programmer, researcher, student, or teacher, you’ll leave confident in your ability to create high-performing ML models, including a Certificate of Completion, fully documented Jupyter Notebook, and dataset to continue your journey independently.

Machine Learning, Data Science, Predictive Modeling, Scikit-Learn, Python, Certificate, Artificial Intelligence

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A Python Workshop To Efficiently Access, Deliver, Visualize, and Analyze Big Environmental Data in the Cloud

Ryan Paul Lafler

Tuesday, January 13, 2026

10:00 am - 2:00 pm PT

Virtual 4-Hour Workshop (Half-Day)

$39.95

Unlock the power of Python to access, process, and visualize petabytes of environmental data in the cloud. In this 4-hour hands-on workshop, you’ll connect to real-world climatological and meteorological datasets, including the petabytes-large Coupled Model Intercomparison Project (CMIP6) and NOAA's hourly Real-Time Mesoscale Analysis (RTMA) data, stored in Amazon S3 and Google Cloud Storage. Learn to efficiently retrieve and analyze data using Dask, Xarray, and fsspec, all without downloading or storing massive files locally. From lazy loading and data chunking to spatiotemporal analysis and visualization, you’ll master the tools and workflows needed to work with big environmental data at scale.

Python, Big Data, Cloud Computing, Environmental Data, Amazon S3, Google Cloud Storage, Dask, Xarray, fsspec, Climate Data, Meteorology, NetCDF, GRIB2, Certificate, CMIP6, NOAA's RTMA

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Mastering Statistical Hypothesis Testing: Comparative Statistical Programming, Analysis, and Modeling for R, Python, & SAS®

Ryan Paul Lafler

Thursday, January 15, 2026

10:00 am - 5:00 pm PT

Virtual 7-Hour Workshop (Full-Day)

$72.95

Master the art of statistical hypothesis testing in this engaging, 7-hour comparative workshop that shows a comparison between R, Python, and SAS. Learn how to select and interpret the right statistical tests for your data, assess assumptions, visualize findings, and apply power analysis to plan for robust study and experimental designs. From 2-sample t-tests to factorial ANOVA, this session bridges theory and practice with hands-on exercises, cross-platform demonstrations, and expert instruction. Participants will leave with clear workflows, reusable code, and the confidence to perform rigorous statistical testing in any professional or research context.

Statistics, Hypothesis Testing, ANOVA, Data Science, Python, R, SAS, Statistical Analysis, Power Analysis, Certificate, Statistical Models

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Corporate and Group Training Solutions

Save with corporate and group discounts through customizable, flexible training solutions built for teams, departments, and organizations.

Premier Training offers corporate and group pricing discounts for organizations registering multiple team members. Whether your goal is to upskill analysts, data scientists, or developers, we provide discounted rates and coordinated enrollment for company-wide participation.

Each participant receives full workshop access, non-redistributable materials, and a personalized Certificate of Completion. Group packages can also be customized to include targeted skill areas in AI, data engineering, machine learning, programming, and analytics.

We also develop custom-made workshops delivered either virtually or onsite tailored specifically to your organization’s schedule, data environment, and professional development objectives.

For more details or to organize a team registration, please contact rplafler@premier-analytics.com
 to discuss group discounts, custom workshop packages, and scheduling availability.

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