Microsoft Certified: Data Scientist Associate Exam Preparation (DP-100) Training Course

This instructor-led, live training in US (online or onsite) is aimed at data scientists who wish to utilize the Anaconda ecosystem to manage and deploy packages and data analysis workflows within a single platform for government. By the end of this training, participants will be able to: - Install and configure Anaconda components and libraries. - Understand the core concepts, features, and benefits of Anaconda for government use. - Manage packages, environments, and channels using Anaconda Navigator. - Utilize Conda, R, and Python packages for data science and machine learning tasks. - Explore practical use cases and techniques for managing multiple data environments in a public sector context.

This instructor-led, live training (conducted online or onsite) is designed for field ecologists and conservation managers who aim to develop spatial data projects using ArcGIS. By the end of this training, participants will be able to: - Generate visualizations from spatial data. - Perform geostatistical analyses on real-world datasets. - Execute spatial data analysis, data processing, and mapping with ArcGIS. - Analyze spatial data for various projects in ArcGIS, ensuring alignment with public sector workflows and governance standards for government.

This instructor-led, live training in US (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for government for collecting, organizing, managing, and analyzing geographic information.

By the end of this training, participants will be able to:

• Understand the fundamentals of ArcMap and ArcGIS for government.
• Collect, organize, manage, and analyze geographic information related to social and archaeological elements.
• Conduct spatial queries to evaluate impacts.

This instructor-led, live training in [location] (online or onsite) is designed for government GIS professionals and analysts at all levels who wish to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management. By the end of this training, participants will be able to: - Navigate and utilize ArcGIS tools for geospatial data management. - Create and customize maps with layers and attributes. - Perform advanced spatial analysis and geoprocessing tasks. - Automate workflows using ModelBuilder and Python for government applications.

This instructor-led, live training in US (online or onsite) is designed for beginner-level IT support personnel who aim to provide robust support for ArcGIS Enterprise, effectively addressing any anomalies or failures. By the end of this training, participants will be able to: - Understand the architecture and components of ArcGIS Enterprise. - Learn how to install, configure, and manage ArcGIS Enterprise. - Acquire skills in troubleshooting and resolving common issues. - Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments. - Master techniques for backup, recovery, and performance optimization, ensuring reliable service delivery for government operations.

This instructor-led, live training in [location] (online or onsite) is designed for government professionals at the beginner level who wish to learn the fundamental concepts and tools of ArcGIS. By the end of this training, participants will be able to: - Understand the basic principles of Geographic Information Systems (GIS) and spatial data. - Navigate the ArcGIS interface effectively. - Create and manage spatial datasets. - Conduct basic spatial analysis. - Produce maps and visualizations for government use.

By the end of this training, participants will be able to:

• Understand GIS concepts and spatial data types using the latest version of ArcGIS Pro for government.
• Examine the user interface and assess its applications.
• Explore ArcGIS Pro and learn how to leverage online content.
• Manage, manipulate, and analyze their own data effectively.
• Present and share their data in meaningful and innovative ways.

Note: The training will utilize the latest version of ArcGIS Pro for government.

ArcGIS Professional Plus is an advanced version of ArcGIS Pro, designed to provide enhanced capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration. This instructor-led, live training (available online or on-site) is tailored for intermediate-level GIS professionals who aim to deepen their expertise in spatial data analysis, automation, and sharing using the tools provided by ArcGIS Professional Plus. By the end of this training, participants will be able to: - Utilize ArcGIS Pro Plus tools for advanced data visualization and analysis. - Develop 2D and 3D maps with sophisticated symbology and geoprocessing techniques. - Automate workflows through the use of ModelBuilder and Python scripting. - Integrate ArcGIS with external data services and enterprise systems. **Format of the Course** - Interactive lectures and discussions. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options for Government** - To request a customized training program tailored to specific needs, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is designed for advanced-level GIS professionals who wish to utilize ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios. By the end of this training, participants will be able to: - Develop advanced skills in spatial analysis techniques using ArcGIS Pro. - Utilize Python scripting for automation and complex data processing tasks. - Apply spatial modeling to address real-world challenges. - Conduct geostatistical analysis for advanced data interpretation. - Integrate external data sources and leverage 3D spatial data analysis, ensuring alignment with the specific needs of public sector workflows for government.

This instructor-led, live training in US (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes for government. By the end of this training, participants will be able to: - Build GIS applications using Python and ArcGIS tools. - Develop with the ArcGIS package ArcPy, utilizing Python. - Apply the ArcGIS modules for map automation by leveraging object classes in Python.

This instructor-led, live training in [location] (online or onsite) is aimed at data scientists and developers who wish to advance their careers in Data Science using Kaggle. By the end of this training, participants will be able to: - Gain a comprehensive understanding of data science and machine learning. - Explore various techniques in data analytics. - Learn about Kaggle and its functionalities, specifically tailored for government applications.

This instructor-led, live training in US (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis. By the end of this training, participants will be able to: - Set up the necessary environment to start developing Pandas workflows at scale with Modin. - Understand the features, architecture, and advantages of Modin for government applications. - Differentiate between Modin, Dask, and Ray in terms of their suitability for various data processing tasks. - Perform Pandas operations more efficiently using Modin. - Implement the entire Pandas API and functions to enhance data analysis capabilities.

This instructor-led, live training (online or onsite) is designed for government earth sciences and engineering professionals at the beginner level who wish to utilize Python for geospatial analysis in both ArcGIS and QGIS environments.

By the end of this training, participants will be able to:

• Master Python syntax and control structures to efficiently execute geospatial tasks.
• Utilize Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS applications.
• Manage and analyze vector data using Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Create custom Python-based geoprocessing tools for ArcGIS and QGIS to enhance task efficiency.

A geographic information system (GIS) is designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is sometimes used interchangeably with geographic information science (GIScience), which refers to the academic discipline that studies these systems and is a significant domain within the broader field of geoinformatics. QGIS functions as geographic information system (GIS) software, enabling users to analyze and edit spatial information, as well as compose and export graphical maps. QGIS supports both raster and vector layers; vector data can be stored as point, line, or polygon features. The software accommodates multiple formats of raster images and can georeference these images. In summary, QGIS allows users to create, edit, visualize, analyze, and publish geospatial information on Windows, Mac, Linux, and BSD. This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, it covers PyQGIS—the Python libraries of QGIS that enable the integration of GIS functionalities into Python code or applications. This allows users to develop their own Python plugins around specific GIS functionalities, enhancing capabilities for government and other sectors.

This instructor-led, live training in [location] (online or onsite) is aimed at data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, applying machine learning algorithms such as XGBoost and cuML. By the end of this training, participants will be able to: - Set up the necessary development environment to build data models with NVIDIA RAPIDS. - Understand the features, components, and advantages of RAPIDS for government applications. - Leverage GPUs to accelerate end-to-end data and analytics pipelines. - Implement GPU-accelerated data preparation and ETL processes using cuDF and Apache Arrow. - Learn how to perform machine learning tasks with XGBoost and cuML algorithms. - Build data visualizations and execute graph analysis with cuXfilter and cuGraph.