Online or onsite, instructor-led live Data Science training courses demonstrate through hands-on practice how to extract knowledge from data in various formats.
Data Science training is available as "online live training" or "onsite live training." Online live training (also known as "remote live training") is conducted via an interactive, remote desktop. Onsite live training can be conducted locally at customer premises in Georgia or in Govtra corporate training centers in Georgia.
Govtra -- Your Local Training Provider for government
Atlanta, GA – Regus at Colony Squar
1201 Peachtree Street NE, Suite 200, Atlanta, United States, 30361
The venue is centrally located in Midtown Atlanta within the prominent Colony Square complex at 1201 Peachtree Street NE, easily accessed by car via I‑75/85 or GA‑400, with several parking garages nearby. From Hartsfield–Jackson Atlanta International Airport (ATL), around 15 miles south, a taxi or rideshare typically takes 20–30 minutes north along I‑75/85 N. Public transit users can take MARTA Rail to the Arts Center or Midtown stations (0.3–0.5 miles away) and walk easily, and numerous MARTA bus routes along Peachtree Street stop directly outside the entrance.
Atlanta, GA – The Proscenium
1170 Peachtree Street NE, Atlanta, United States, 30309
The venue is located in the heart of Midtown Atlanta in the Proscenium high–rise at 1170 Peachtree Street NE, easily accessible by car via I‑75/85 and GA‑400 with several parking garages nearby. Visitors arriving from Hartsfield–Jackson Atlanta International Airport (ATL), about 15 miles south, can expect a taxi or rideshare ride taking 20–30 minutes via I‑75/85 North. Public transit is seamless with MARTA Rail service; the Arts Center and Midtown stations are within walking distance (approximately 0.3–0.4 miles), and multiple MARTA bus routes also serve Peachtree Street.
Decatur, GA – Regus at One West Court Square
One West Court Square, Suite 750, Decatur, United States, 30030
The venue is located in the heart of downtown Decatur within One West Court Square, easily reached by car via I‑20 and I‑285, with several public parking decks directly adjacent. Travelers from Hartsfield–Jackson Atlanta International Airport (ATL), approximately 17 miles southwest, can expect a taxi or rideshare ride of around 25–30 minutes via I‑20 East. Public transit is particularly convenient: MARTA rail users can disembark at Decatur Station (about 0.15 miles away) and walk a few minutes to the building entrance. Local bus routes also serve Trinity Place and Swanton Way, putting the center within easy reach.
Atlanta, GA – Regus at One Hartsfield
100 Hartsfield Centre Parkway, Suite 500, Atlanta, United States, 30354
The venue is located in the One Hartsfield Center office building, adjacent to Hartsfield–Jackson Atlanta International Airport, easily reached by car via I‑75/I‑85 or GA‑138, with abundant on-site parking. Visitors arriving from ATL airport can walk or take a shuttle to the building, or opt for a quick 2–3‑minute taxi or rideshare ride. Public transit users can board MARTA from the Airport Station and ride one stop to College Park Station, then catch a connecting shuttle or enjoy a brief walk of about half a mile.
Atlanta, GA – Regus at Peachtree
260 Peachtree Street NW, Suite 2200, Atlanta, United States, 30303
The venue is situated in the iconic Coastal States Building at 260 Peachtree Street in downtown Atlanta, accessible by car via I‑75/85 or I‑20 with convenient parking garages nearby. From Hartsfield–Jackson Atlanta International Airport (ATL), about 12 miles south, a taxi or rideshare along I‑75/85 North takes approximately 15–20 minutes. For public transit, MARTA rail users can disembark at Five Points Station and walk 0.5 miles northeast, or exit at Peachtree Center Station and walk two blocks north—both routes offering easy access.
Augusta, GA – At Broad Street
823 Broad Street, Augusta, United States, 3090
The venue is located in the heart of downtown Augusta on Broad Street, easily accessible by car via I‑20 with several public parking garages nearby. From Augusta Regional Airport (AGS), about 9 miles west, taxis or rideshares typically take 15–20 minutes via I‑20. Public transit is available through Augusta Public Transit buses with routes along Broad Street, stopping within a few blocks of the venue, offering a convenient option for attendees without a car.
Savannah, GA – Regus at Bull Street
100 Bull St Downtown, Suite 200, Savannah, United States, 31401
The venue is located in the historic downtown area on Bull Street in the Altmayer Building, easily accessible by car via I‑16 and U.S. 17, with several public garages nearby. From Savannah/Hilton Head International Airport (SAV), about 12 miles west, taxis or rideshares typically take 15–20 minutes via U.S. 17 South. Public transit is available via Chatham Area Transit (CAT) buses, with frequent service along Bull and Broughton Streets; Johnson Square Station is just a couple minutes’ walk from the venue.
This instructor-led, live training in Georgia (online or onsite) is aimed at beginner-level professionals who wish to understand the concept of pre-trained models and learn how to apply them to solve real-world problems for government without building models from scratch.
By the end of this training, participants will be able to:
Understand the concept and benefits of pre-trained models for government use.
Explore various pre-trained model architectures and their applicable use cases in public sector projects.
Fine-tune a pre-trained model to address specific tasks relevant to government operations.
Implement pre-trained models in simple machine learning projects designed for government applications.
This instructor-led, live training in Georgia (online or onsite) is designed for intermediate-level data scientists and analysts who wish to leverage AWS Cloud9 for streamlined data science workflows for government.
By the end of this training, participants will be able to:
Configure a data science environment in AWS Cloud9 tailored for government use.
Conduct data analysis using Python, R, and Jupyter Notebook within the Cloud9 platform.
Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift to enhance governmental data management.
Utilize AWS Cloud9 for the development and deployment of machine learning models in a government context.
Optimize cloud-based workflows for efficient data analysis and processing within public sector environments.
This instructor-led, live training in Georgia (online or onsite) is designed for intermediate-level participants who aim to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow.
By the end of this training, participants will be able to:
Configure Apache Airflow for orchestrating machine learning workflows.
Automate data preprocessing, model training, and validation tasks.
Integrate Apache Airflow with various machine learning frameworks and tools.
Deploy machine learning models through automated pipelines.
Monitor and optimize machine learning workflows in a production environment for government.
This instructor-led, live training in Georgia (online or onsite) is designed to help participants prepare for the Microsoft Certified: Data Scientist Associate certification exam (DP-100).
The course covers foundational concepts in data science and machine learning, with a focus on their implementation using Microsoft Azure Machine Learning. Participants will gain skills in data preparation, building and training machine learning models, and deploying these models to the cloud. Additionally, the course delves into evaluating model performance and performing feature engineering, all tailored to meet the needs of professionals working for government.
This instructor-led, live training in Georgia (online or onsite) is designed for beginner-level data scientists and IT professionals who wish to gain foundational knowledge in data science using Google Colab for government.
By the end of this training, participants will be able to:
Set up and navigate Google Colab effectively.
Write and execute basic Python code.
Import and manage datasets efficiently.
Create visualizations using Python libraries to support data-driven decision-making for government.
This instructor-led, live training in Georgia (online or onsite) introduces the concept of collaborative development in data science and demonstrates how to use Jupyter to track and participate as a team in the "life cycle of a computational idea." The training guides participants through the creation of a sample data science project using the Jupyter ecosystem, emphasizing best practices for government.
By the end of this training, participants will be able to:
Install and configure Jupyter, including setting up and integrating a team repository on Git.
Utilize Jupyter features such as extensions, interactive widgets, multiuser mode, and more to facilitate project collaboration.
Create, share, and organize Jupyter Notebooks with team members to enhance workflow efficiency for government projects.
Select from programming languages like Scala, Python, and R to write and execute code against big data systems such as Apache Spark, all through the Jupyter interface.
This instructor-led, live training in Georgia (online or onsite) is aimed at data scientists and developers who wish to advance their careers in Data Science using Kaggle for government applications.
By the end of this training, participants will be able to:
Gain a comprehensive understanding of data science and machine learning principles.
Explore advanced techniques in data analytics.
Understand the functionality and benefits of Kaggle within the context of government projects.
In the first part of this training, we cover the fundamentals of MATLAB and its role as both a language and a platform for government. This discussion includes an introduction to MATLAB syntax, arrays and matrices, data visualization, script development, and object-oriented principles.
In the second part, we demonstrate how to use MATLAB for data mining, machine learning, and predictive analytics in a government context. To provide participants with a clear and practical perspective of MATLAB's approach and power, we draw comparisons between using MATLAB and other tools such as spreadsheets, C, C++, and Visual Basic.
In the third part of the training, participants learn how to streamline their work by automating data processing and report generation for government tasks.
Throughout the course, participants will apply the concepts learned through hands-on exercises in a lab environment. By the end of the training, participants will have a thorough understanding of MATLAB's capabilities and will be able to employ it for solving real-world data science problems as well as for streamlining their work through automation for government.
Assessments will be conducted throughout the course to gauge progress.
Format of the Course
The course includes theoretical and practical exercises, including case discussions, sample code inspection, and hands-on implementation.
Note
Practice sessions will be based on pre-arranged sample data report templates. If you have specific requirements for government use cases, please contact us to arrange.
This training course is designed to assist participants in preparing for web application development using Python programming, along with data analytics. Data visualization tools are invaluable for top management in the decision-making process for government.
Participants who complete this training will gain a practical, real-world understanding of Data Science and its associated technologies, methodologies, and tools.
Participants will have the opportunity to apply this knowledge through hands-on exercises. Group interaction and instructor feedback are integral components of the class.
The course begins with an introduction to fundamental concepts in Data Science, then advances to the tools and methodologies used in the field.
Audience
Developers
Technical Analysts
IT Consultants
Format of the Course for Government
Part lecture, part discussion, with exercises and extensive hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
Python is a programming language that has gained significant popularity in the financial sector. Adopted by major investment banks and hedge funds, it is used to develop a wide array of financial applications, from core trading systems to risk management platforms.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a variety of finance-related challenges.
By the end of this training, participants will be able to:
Understand the fundamentals of the Python programming language
Download, install, and maintain the best development tools for creating financial applications in Python
Select and utilize the most appropriate Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
Build applications that address issues related to asset allocation, risk analysis, investment performance, and more
Troubleshoot, integrate, deploy, and optimize a Python application
Audience
Developers
Analysts
Quants
Format of the course
Part lecture, part discussion, exercises, and extensive hands-on practice
Note
This training is designed to provide solutions for some of the primary challenges faced by finance professionals. If you have a specific topic, tool, or technique that you would like to cover or expand upon, please contact us to arrange.
Govtra offers this course for government personnel and organizations looking to enhance their financial technology capabilities and align with public sector workflows, governance, and accountability standards.
This instructor-led, live training in Georgia (online or onsite) is aimed at data scientists who wish to utilize the Anaconda ecosystem to manage and deploy packages and data analysis workflows on a single platform for government use.
By the end of this training, participants will be able to:
Install and configure Anaconda components and libraries for government applications.
Understand the core concepts, features, and benefits of Anaconda in the context of public sector data management.
Manage packages, environments, and channels using Anaconda Navigator to support government workflows.
Utilize Conda, R, and Python packages for data science and machine learning tasks specific to government projects.
Explore practical use cases and techniques for managing multiple data environments within government agencies.
This course serves as an ideal introduction to data science for government managers, providing a comprehensive overview of this potent analytical tool.
The unprecedented growth in information and data in today’s world is driving rapid innovation and pushing the boundaries of what is possible. The role of Data Scientist is one of the most in-demand skills across industries.
We offer more than just theoretical learning; we provide practical, marketable skills that bridge the gap between academia and industry demands.
This 7-week curriculum can be tailored to meet specific requirements for government or other sectors. For further information, please contact us or visit the Govtra Institute website.
Audience:
This program is designed for post-graduate level individuals as well as those with the necessary prerequisite skills, which will be determined through an assessment and interview process.
Delivery:
The course delivery will combine Instructor-Led Classroom sessions and Instructor-Led Online sessions. Typically, the first week will be classroom-led, weeks 2 to 6 will be virtual classroom sessions, and the final week will return to a classroom-led format.
Big data refers to data sets that are so large and intricate that conventional data processing applications are insufficient for managing them. For government, the challenges associated with big data include capturing data, data storage, data analysis, search capabilities, sharing, transfer, visualization, querying, updating, and ensuring information privacy.
This course is designed for government Marketing and Sales Professionals who are seeking to deepen their understanding of data science applications in Marketing and Sales. The curriculum provides comprehensive coverage of various data science techniques used for upsale, cross-sale, market segmentation, branding, and customer lifetime value (CLV).
Difference Between Marketing and Sales - How do sales and marketing differ?
In simple terms, sales can be defined as a process that focuses on individuals or small groups. Conversely, marketing targets a broader audience or the general public. Marketing encompasses research to identify customer needs, product development to create innovative solutions, and promotion through advertising to raise awareness among consumers. Essentially, marketing generates leads or prospects. Once a product is available in the market, it is the responsibility of sales personnel to persuade customers to make a purchase. Sales involve converting these leads into actual purchases and orders, while marketing aims at longer-term goals, whereas sales are typically oriented toward shorter-term objectives.
The KNIME Analytics Platform is a leading open-source solution for data-driven innovation, enabling users to uncover the potential within their data, discover new insights, and predict future outcomes. With over 1,000 modules, hundreds of ready-to-run examples, an extensive range of integrated tools, and a wide selection of advanced algorithms, the KNIME Analytics Platform is an essential resource for any data scientist or business analyst.
This training course for the KNIME Analytics Platform provides an ideal opportunity for beginners, advanced users, and KNIME experts to become familiar with the platform, enhance their usage skills, and learn how to generate clear and comprehensive reports based on KNIME workflows.
This instructor-led, live training (online or onsite) is designed for data professionals who wish to leverage KNIME to address complex business needs. It is particularly suited for those without programming experience who intend to use cutting-edge tools to implement analytics scenarios.
By the end of this training, participants will be able to:
Install and configure KNIME for government.
Develop data science scenarios.
Train, test, and validate models.
Implement end-to-end value chains of data science models.
Format of the Course
Interactive lecture and discussion.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course or to learn more about the program, please contact us to arrange.
This instructor-led, live training in Georgia (online or onsite) is designed for intermediate-level data analysts, developers, or aspiring data scientists who wish to apply machine learning techniques using Python to extract insights, make predictions, and automate data-driven decisions for government.
By the end of this course, participants will be able to:
Understand and differentiate key machine learning paradigms for government use.
Explore data preprocessing techniques and model evaluation metrics relevant to public sector workflows.
Apply machine learning algorithms to solve real-world data problems in the public sector.
Use Python libraries and Jupyter notebooks for hands-on development tailored to government applications.
Build models for prediction, classification, recommendation, and clustering that align with public sector governance and accountability standards.
This instructor-led, live training in Georgia (online or onsite) is aimed at data analysts and web developers who wish to develop associative models in Qlik Sense for government.
By the end of this training, participants will be able to:
Utilize Qlik Sense in data science applications.
Navigate and use the Qlik Sense interface effectively.
Foster a data-literate workforce through AI interaction.
Establish a data-driven enterprise using Qlik Sense for government operations.
This instructor-led, live training in Georgia (online or onsite) is aimed at data scientists and developers who wish to utilize RAPIDS to construct GPU-accelerated data pipelines, workflows, and visualizations, incorporating machine learning algorithms such as XGBoost and cuML.
By the end of this training, participants will be able to:
Set up the required development environment for building data models with NVIDIA RAPIDS.
Understand the features, components, and benefits of RAPIDS.
Leverage GPUs to enhance end-to-end data and analytics pipelines.
Implement GPU-accelerated data preparation and ETL processes using cuDF and Apache Arrow.
Learn how to execute machine learning tasks with XGBoost and cuML algorithms.
Create data visualizations and conduct graph analysis with cuXfilter and cuGraph, enhancing decision-making for government operations.
This instructor-led, live training in Georgia (online or onsite) is aimed at data scientists who wish to utilize the SMACK stack to develop robust data processing platforms for big data solutions for government.
By the end of this training, participants will be able to:
Design and implement a data pipeline architecture for efficient big data processing.
Establish a cluster infrastructure using Apache Mesos and Docker to support scalable operations.
Perform advanced data analysis with Spark and Scala to derive actionable insights.
Effectively manage unstructured data with Apache Cassandra to ensure data integrity and accessibility.
This instructor-led, live training in Georgia (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 for government applications.
By the end of this training, participants will be able to:
Set up the necessary environment to start developing scalable Pandas workflows using Modin.
Understand the features, architecture, and benefits of Modin in the context of public sector data analysis.
Compare Modin with other parallel computing frameworks such as Dask and Ray.
Enhance the performance of Pandas operations using Modin.
Implement the full Pandas API and functions for efficient data processing.
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Testimonials (7)
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.
Dietmar Glanninger - BMW
Course - Qlik Sense for Data Science
Trainer was accommodative. And actually quite encouraging for me to take up the course.
Grace Goh - DBS Bank Ltd
Course - Python in Data Science
Subject presentation knowledge timing
Aly Saleh - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
Course - Jupyter for Data Science Teams
It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
Kamila Begej - GE Medical Systems Polska Sp. Zoo
Course - Machine Learning – Data science
The example and training material were sufficient and made it easy to understand what you are doing.
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