Welcome to Unit8 Academy

Your one-stop-shop for growing data, analytics, and AI competencies in your organization. From downright technical to high-level methodologies we offer tailored modules to cover a wide range of topics (e.g. NLP to Data Literacy). Whether its beginners or specialists our training programs are designed to equip your team with skills & insights from recent client projects and industry best practices.

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What is Unit8 Academy?

The enduring success of data, analytics, and AI in your company solely relies on your workforce’s ability to extract the most value from such tools. Building a solid foundation for sustainable value creation entails your employees’ comprehensive understanding and trust in these technologies. 
We offer guidance in cultivating technical and methodological proficiencies while fostering data competencies and a data-driven culture.

Our approach involves developing and implementing customized training modules and cross-functional workshops. We are committed to translating your vision into tangible results and ensuring your team gains long-lasting value.

Who is it for?

Our training program is designed to cater to a diverse audience, with courses tailored to meet the needs of executive managers, business stakeholders and data users, as well as technical stakeholders.

Executive managers

Executive managers will benefit from courses that help them define their data strategy, build a data roadmap, and manage data projects.

Business Stakeholders and Data Users

Business Stakeholders and Data Users can take advantage of courses on AI, data science use cases, data visualisation, and data governance to gain a deeper understanding of the potential of data-driven decision making.

Technical Stakeholders

For Technical Stakeholders, there are courses on data engineering, data science, architecture, and data platforms to help them develop the technical skills required to succeed in their roles.

Discover Modular Approach

Module Approach

Kick-off your training journey with focus on a single specific topic.

  • What to Expect: A subject-specific training adapted to you and your industry
  • Typical Duration: 0.5-2 days

Track Approach

Combine several modules into a tailored training track

  • What to Expect: A comprehensive deep-dive into the selected subject, tailored to your learning goals.
  • Typical Duration: 1-4 weeks

Full Journey Approach

Transform specific teams or upskill the entire organisation

  • What to Expect: A full training journey combining several tracks, events, workshops and seminars. You can select the methods, topics, and technologies that best fit your training needs
  • Typical Duration: Several months

Our trainings

Our tailor-made training catalogue offers a comprehensive range of courses that can be customized to meet the specific needs of your employees and teams, ensuring that they receive the knowledge and skills necessary to excel in their roles and drive business success.

GenAI 101

Embrace the transformative potential of General Artificial Intelligence (Gen AI). This course provides an introduction to Gen AI, exploring its applications across industries, and discussing the ethical considerations that arise as we harness the power of this technology.

Success stories

In the dynamic world of AI, General Artificial Intelligence (Gen AI) emerges as a game-changer, offering unprecedented transformative power across industries. Dive into the heart of Gen AI with our GenAI 101 course, uncovering its vast applications and ethical implications. Gen AI represents a paradigm shift, moving beyond narrow AI to embrace adaptable intelligence akin to human cognition. Explore its impact across sectors like healthcare, finance, and entertainment, gaining insights into its potential to reshape entire industries. Discover how Gen AI goes beyond automation, redefining what’s possible and prompting critical reflections on ethical considerations. Join us on this thrilling journey where innovation meets discovery, and together, let’s shape a brighter future with Gen AI.

Course Content:

  • Introduction to Gen AI: Gain a foundational understanding of General Artificial Intelligence (Gen AI), exploring its core principles and capabilities that differentiate it from narrow AI systems.
  • Industry Applications: Explore the multifaceted applications of Gen AI across diverse industries, from healthcare and finance to manufacturing and entertainment, uncovering its transformative potential to revolutionize traditional workflows and processes.
  • Ethical Considerations: Engage in thought-provoking discussions on the ethical implications of Gen AI adoption and deployment, addressing key considerations such as privacy, bias, accountability, and transparency.
  • Case Studies: Delve into real-world case studies showcasing successful implementations of Gen AI across various sectors, providing valuable insights into its practical applications and impact on organizational outcomes.
  • Interactive Simulations and Demonstrations: Immerse yourself in interactive simulations and demonstrations, allowing you to interact with Gen AI systems, experiment with cutting-edge technologies, and envision future possibilities in a dynamic learning environment.

Join us on this transformative journey into the realm of General Artificial Intelligence, where innovation knows no bounds, and the quest for knowledge propels us toward a brighter tomorrow.

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Data Literacy: Interpreting the Language of Data

Empower yourself to effectively interpret and communicate data. This course equips you with the essential skills of data literacy, enabling you to understand data concepts, critically evaluate data sources, and effectively communicate data insights to others. You will learn how to effectively visualize data, identify patterns and trends, and make informed decisions based on data-driven insights.

Empower yourself with essential data literacy skills to effectively interpret, communicate, and derive actionable insights from data in this immersive course. In today’s data-driven world, the ability to understand and interpret data is critical for informed decision-making and driving organizational success. Whether you’re a business professional, analyst, or aspiring data scientist, mastering the language of data enables you to unlock valuable insights, identify trends, and communicate findings with confidence and clarity. Through a combination of theoretical concepts, practical demonstrations, and interactive exercises, you’ll explore the core principles and techniques of data interpretation, from understanding data concepts to critically evaluating data sources and effectively communicating insights to stakeholders. Whether you’re navigating complex datasets, designing compelling visualizations, or deriving meaningful insights from data, Interpreting the Language of Data equips you with the essential skills and knowledge needed to thrive in today’s data-driven landscape.

Course Content:

  • Data Literacy Essentials: Dive into the foundational concepts and principles of data literacy, including data types, measurement scales, descriptive statistics, and inferential statistics, providing a solid foundation for interpreting and analyzing data effectively.
  • Data Visualization Techniques: Explore a variety of data visualization techniques and tools, including charts, graphs, maps, and dashboards, to effectively communicate complex data insights in a clear, concise, and visually compelling manner.
  • Pattern Recognition: Learn to identify patterns, trends, and anomalies within datasets through exploratory data analysis techniques, such as clustering, classification, and regression analysis, enabling you to uncover hidden insights and actionable intelligence.
  • Decision-Making Frameworks: Discover practical frameworks and methodologies for making informed decisions based on data-driven insights, including hypothesis testing, A/B testing, and decision trees, ensuring sound decision-making and strategic alignment with organizational goals.
  • Interactive Data Interpretation Exercises: Put theory into practice through a series of interactive data interpretation exercises, where you’ll analyze real-world datasets, derive meaningful insights, and communicate findings through interactive visualizations and presentations.

By immersing yourself in “Interpreting the Language of Data” course, you’ll emerge with the expertise and confidence needed to navigate the complexities of data with ease and precision, enabling you to unlock the full potential of your data assets and drive informed decision-making in today’s data-driven world. Whether you’re presenting findings to stakeholders, developing data-driven strategies, or leveraging data for innovation, mastering the language of data empowers you to thrive in a rapidly evolving digital landscape.

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Data Manipulation Basics

Master the art of organizing and transforming data for analysis. This course provides a hands-on introduction to data manipulation techniques using popular tools such as Python and SQL. You will learn how to clean, prepare, and manipulate data to ensure its accuracy and relevance for analysis. You will gain proficiency in data wrangling, data cleaning, and data transformation, laying the foundation for further data analysis.

Dive into the fundamental skills of organizing and transforming data for analysis with precision and efficiency in this immersive course. Whether you’re a novice or an experienced data practitioner, mastering the art of data manipulation is essential for unlocking valuable insights and driving informed decision-making in today’s data-driven world. Through a blend of theoretical concepts, practical demonstrations, and hands-on exercises, you’ll explore the core techniques and tools used for cleaning, preparing, and transforming data for analysis, with a focus on popular programming languages like Python and SQL. From data cleaning and preprocessing to advanced manipulation techniques, you’ll gain the skills and confidence needed to wrangle even the messiest of datasets, ensuring accuracy, consistency, and relevance for downstream analysis. Whether you’re an aspiring data scientist, analyst, or business professional, Data Manipulation Basics provides the essential foundation for harnessing the full potential of your data assets and driving meaningful business outcomes with confidence and precision.

Course Content:

  • Data Manipulation Techniques: Explore a diverse array of data manipulation techniques, including filtering, sorting, aggregating, joining, and transforming data using popular libraries and functions in Python and SQL.
  • Python and SQL Basics: Learn the fundamentals of Python and SQL programming languages, including syntax, data types, control structures, and functions, enabling you to write efficient and readable code for data manipulation tasks.
  • Cleaning and Preparation Methods: Master the art of data cleaning and preparation, including handling missing values, outlier detection, data imputation, and standardization, ensuring the integrity and quality of your datasets for analysis.
  • Hands-on Coding Exercises: Put theory into practice through a series of hands-on coding exercises, where you’ll tackle real-world data manipulation challenges, write and execute Python and SQL code, and troubleshoot common errors under the guidance of experienced instructors.
  • Real-world Data Manipulation Scenarios: Gain insights from real-world data manipulation scenarios and case studies, where you’ll apply your newfound skills to clean, prepare, and transform messy datasets from various domains, such as finance, healthcare, marketing, and more.

By immersing yourself in “Data Manipulation Basics” course, you’ll emerge with the expertise and confidence needed to master the art of data manipulation and unlock the full potential of your data assets for analysis and decision-making. Whether you’re extracting insights from structured databases, wrangling unstructured data from web sources, or preparing data for machine learning models, mastering the art of data manipulation empowers you to navigate the complexities of data with precision and efficiency, driving innovation and driving organizational success.

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Architecting Data Landscapes: Scalability

Design and implement scalable and performant data architectures that support your organization's data-driven initiatives. This course guides you in selecting the appropriate data storage and processing technologies, ensuring that your data architecture can accommodate the growing volume and complexity of your organization's data.

Embark on a transformative journey into the realm of data architecture as you explore the art and science of designing scalable and performant data landscapes that lay the foundation for your organization’s data-driven initiatives. In this comprehensive course, you’ll delve deep into the principles, technologies, and best practices essential for architecting data landscapes capable of accommodating the ever-growing volume and complexity of data in today’s digital age. From selecting the optimal data storage and processing technologies to addressing scalability considerations and implementing resilient architectures, you’ll gain invaluable insights into building data landscapes that empower innovation, drive efficiency, and unlock actionable insights from your data assets. Whether you’re a data architect, engineer, or strategist, mastering the art of architecting scalable data landscapes is essential for achieving sustainable growth and competitive advantage in today’s dynamic business landscape.

Course Content:

  • Scalable Data Architectures: Explore the principles and methodologies behind designing scalable data architectures that can seamlessly adapt to the evolving needs of your organization, from distributed databases and data lakes to microservices and serverless computing.
  • Storage and Processing Technologies: Navigate the diverse landscape of data storage and processing technologies, including relational databases, NoSQL databases, cloud storage solutions, and distributed computing frameworks, understanding their strengths, limitations, and optimal use cases.
  • Scalability Considerations: Learn how to identify and address key scalability considerations, such as data partitioning, sharding, replication, and caching, to ensure your data architecture can handle increasing data volumes, user loads, and application demands.
  • Best Practices: Gain access to industry best practices and design patterns for building resilient and scalable data landscapes, from data modeling and indexing strategies to data partitioning and replication strategies, ensuring optimal performance, reliability, and maintainability.
  • Case Studies: Draw inspiration from real-world case studies showcasing successful implementations of scalable data architectures across various industries and use cases, highlighting the transformative impact of scalable data architectures on organizational growth and innovation.
  • Architectural Design Exercises: Put theory into practice through hands-on architectural design exercises, where you’ll tackle real-world data architecture challenges, design scalable solutions, and receive personalized feedback from experienced instructors.

By immersing yourself in “Architecting Data Landscapes: Scalability” course, you’ll emerge with the expertise and confidence needed to architect scalable and performant data landscapes that serve as the bedrock of your organization’s data strategy. Whether you’re architecting data warehouses, building data lakes, or designing real-time analytics platforms, mastering the art of architecting scalable data landscapes empowers you to unlock the full potential of your data assets and drive innovation with unparalleled agility and efficiency.

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Practical Data Science

Practically apply data science techniques to extract valuable insights from data. This course introduces you to the fundamentals of data wrangling, exploratory data analysis, model building, and evaluation, enabling you to leverage data science for making informed business decisions.

Embark on a transformative journey into the realm of practical data science, where you’ll acquire the essential skills and techniques needed to extract valuable insights from data and drive informed business decisions. In this dynamic course, you’ll delve deep into the data science lifecycle, from data wrangling and exploratory data analysis to model building and evaluation, equipping you with the tools and knowledge to tackle real-world data challenges with confidence and precision. Through a blend of theoretical concepts, hands-on exercises, and real-world case studies, you’ll gain practical experience in leveraging data science techniques to uncover hidden patterns, trends, and relationships within complex datasets, empowering you to unlock actionable insights and drive organizational success.

Course Content:

  • Data Wrangling: Master the art of data wrangling, where you’ll learn techniques for cleaning, transforming, and preparing raw data for analysis, ensuring its accuracy, completeness, and relevance for downstream tasks.
  • Exploratory Data Analysis (EDA): Dive deep into exploratory data analysis techniques, where you’ll uncover hidden patterns, trends, and anomalies within your data through visualizations, statistical summaries, and hypothesis testing, gaining valuable insights into your data’s underlying structure and characteristics.
  • Model Building: Explore the process of building predictive models using machine learning algorithms, from selecting the appropriate model architecture and features to training, validating, and fine-tuning your models for optimal performance and generalization.
  • Evaluation Techniques: Learn how to assess the performance of your models using a variety of evaluation metrics and techniques, enabling you to make informed decisions about model selection, refinement, and deployment.
  • Real-World Case Studies: Gain insights from real-world case studies and applications of data science techniques across diverse industry domains, from finance and healthcare to marketing and e-commerce, showcasing the transformative impact of data science on organizational decision-making and strategy.
  • Hands-on Projects: Apply your newfound knowledge and skills to hands-on projects and challenges, where you’ll tackle real-world data problems, develop and deploy data science solutions, and showcase your proficiency in practical data science techniques.

By immersing yourself in the “Practical Data Science” course, you’ll emerge with the expertise and confidence needed to harness the power of data science to drive innovation, solve complex problems, and unlock new opportunities for your organization. Whether you’re a data scientist, analyst, or business leader, mastering practical data science techniques empowers you to leverage data as a strategic asset and gain a competitive edge in today’s data-driven world.

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Data Governance Frameworks

Establish a framework for managing and maintaining data quality and integrity. This course guides you in understanding the principles of data governance, implementing policies and procedures, and ensuring that your organization's data remains reliable, compliant, and accessible as your data ecosystem evolves.

Delve into the intricacies of establishing a robust framework to effectively manage data quality and integrity within your organization. Throughout this comprehensive course, you will embark on a journey to understand the core principles, strategies, and compliance measures essential for ensuring the reliability and accessibility of your organization’s data assets. From conceptualizing data governance frameworks to implementing policies and procedures, you’ll gain invaluable insights into fostering a data-centric culture that empowers decision-making and drives organizational success. Whether you’re a data steward, analyst, or C-suite executive, this course equips you with the knowledge and tools necessary to navigate the complexities of data governance in today’s rapidly evolving digital landscape.

Course Content:

  • Principles of Data Governance: Explore the foundational principles underpinning effective data governance, including data quality management, metadata management, and data lifecycle management.
  • Policy Implementation: Learn how to translate data governance principles into actionable policies and procedures tailored to your organization’s unique needs and regulatory requirements.
  • Compliance Measures: Navigate the complex regulatory landscape surrounding data governance, including GDPR, CCPA, and other industry-specific compliance standards.
  • Case Studies: Delve into real-world case studies highlighting successful data governance initiatives across various industries, offering valuable insights and lessons learned.
  • Best Practices: Gain access to best practices and industry standards for designing, implementing, and maintaining data governance frameworks that drive organizational value.
  • Interactive Exercises: Engage in hands-on, interactive exercises designed to reinforce key concepts and principles, allowing you to apply newfound knowledge in practical scenarios and enhance your understanding of data governance fundamentals.

With a focus on practical application and real-world relevance, this course empowers you to champion data governance initiatives within your organization, fostering trust, transparency, and accountability across the entire data lifecycle. Whether you’re aiming to mitigate risks, improve decision-making, or unlock the full potential of your data assets, Data Governance Frameworks provides the essential guidance and expertise needed to succeed in today’s data-driven world.

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The Art of Data Modeling

Uncover the fundamentals of data modeling and develop the skills to create accurate and efficient data models that power data-driven applications. This course provides a comprehensive overview of conceptual, logical, and physical data modeling, equipping you with the knowledge and tools to model data effectively in any context.

Immerse yourself in the intricate world of data modeling and unlock the key principles and techniques essential for creating efficient models that drive data-driven applications. This comprehensive course delves deep into the fundamentals of data modeling, equipping you with the knowledge and skills to conceptualize, design, and implement robust data models tailored to your organization’s unique needs. Through a blend of theoretical concepts, practical examples, and interactive sessions, you’ll explore the nuances of conceptual, logical, and physical data modeling, gaining a holistic understanding of how data models underpin the foundation of modern data architecture. Whether you’re a data architect, developer, or analyst, mastering the art of data modeling is essential for optimizing data quality, improving decision-making, and driving organizational success in today’s data-driven landscape.

Course Content:

  • Fundamentals of Data Modeling: Lay the groundwork for your data modeling journey by exploring core concepts such as entities, attributes, relationships, and normalization, gaining a solid understanding of the building blocks of effective data models.
  • Modeling Techniques: Learn advanced modeling techniques and methodologies, including entity-relationship modeling, dimensional modeling, and agile modeling approaches, to address diverse data modeling challenges with precision and agility.
  • Conceptual, Logical, and Physical Modeling: Navigate the three pillars of data modeling—conceptual, logical, and physical—learning how to translate high-level business requirements into detailed, implementable data structures optimized for performance, scalability, and maintainability.
  • Practical Examples: Gain insights from real-world case studies and practical examples illustrating the application of data modeling principles in diverse industry contexts, from e-commerce and finance to healthcare and manufacturing.
  • Interactive Modeling Exercises: Put theory into practice through hands-on modeling exercises and interactive sessions, where you’ll tackle real-world data modeling scenarios, collaborate with peers, and receive personalized feedback from experienced instructors.

By completing this course, you’ll emerge with the expertise and confidence needed to architect data models that serve as the cornerstone of your organization’s data strategy. Whether you’re designing transactional databases, building data warehouses, or developing analytics solutions, mastering the art of data modeling empowers you to unlock the full potential of your data assets and drive innovation with unparalleled precision and effectiveness.

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Palantir Foundry: Masterclass in Data Transformation

Embark on a comprehensive journey to acquire deep expertise in Palantir Foundry, a transformative data platform that empowers organizations to build and manage data products that drive business transformation. This course delves into the core functionalities of Foundry, guiding you through the process of building data products from concept to deployment.

Embark on an immersive journey into the transformative capabilities of Palantir Foundry, a cutting-edge data platform revolutionizing the way organizations harness the power of data. In this comprehensive masterclass, you’ll gain unparalleled expertise in leveraging Foundry to drive organizational transformation and unlock actionable insights from your data assets. Through a combination of in-depth exploration, hands-on exercises, and real-world examples, you’ll uncover the full spectrum of Foundry’s functionalities, from seamless data ingestion to agile product development and rapid deployment. Whether you’re a data engineer, analyst, or business leader, this masterclass equips you with the knowledge and skills needed to navigate the complexities of modern data transformation initiatives with confidence and precision.

Course Content:

  • Foundry Functionalities: Dive deep into the rich array of capabilities offered by Palantir Foundry, including data integration, visualization, analytics, and collaboration tools, to unleash the full potential of your data assets.
  • Data Ingestion: Learn best practices for seamlessly ingesting data from diverse sources into Foundry, ensuring data quality, integrity, and accessibility throughout the ingestion process.
  • Product Development: Explore the iterative process of developing data products within Foundry, from ideation and prototyping to refinement and deployment, leveraging advanced features such as workflows, pipelines, and transformations.
  • Deployment Strategies: Master the art of deploying data products and solutions within your organization, employing strategies to maximize user adoption, scalability, and sustainability while minimizing disruption and risk.
  • Case Studies: Gain insights from real-world case studies showcasing successful implementations of Palantir Foundry across various industries and use cases, illustrating its transformative impact on organizations of all sizes.
  • Hands-on Labs: Put your newfound knowledge into practice through hands-on labs and exercises, where you’ll tackle real-world data challenges, build custom workflows, and deploy data products within a simulated Foundry environment, under the guidance of experienced instructors.

By immersing yourself in the Palantir Foundry: Masterclass in Data Transformation, you’ll emerge with the confidence and expertise needed to drive data-driven innovation and organizational excellence. Whether you’re looking to streamline operations, uncover hidden opportunities, or solve complex business challenges, Palantir Foundry empowers you to turn data into action and drive meaningful change across your organization.

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