Course information

Generative AI for Data Analyst Training Course Outline

Module 1: Introduction to Generative AI

  • What is Generative AI?
  • Role of Generative AI in Data Analysis
  • Applications of Generative AI in Data Analysis
  • Generative AI Techniques

Module 2: Generative Models

  • Understanding Generative Models
  • Types of Generative Models
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Flow-Based Models

Module 3: Natural Language Processing (NLP) with Generative AI

  • Generative AI in NLP
  • Text Generation with GPT-3
  • Language Modelling
  • Sentiment Analysis
  • Text Summarisation

Module 4: Image Generation

  • Image Generation with GANs
  • Image-to-Image Translation
  • Image Super-Resolution
  • Data Augmentation

Module 5: Time-Series Data Analysis

  • Time-Series Prediction
  • Sequence Generation
  • Anomaly Detection
  • Financial Forecasting
  • Real-world Applications

Module 6: Data Privacy and Ethics

  • Privacy Concerns in Generative AI
  • Ethical Considerations
  • GDPR and Data Protection
  • Bias and Fairness
  • Responsible AI Practices

Module 7: Model Evaluation and Interpretability

  • Evaluating Generative Models
  • Metrics for Model Assessment
  • Interpreting Model Outputs
  • Debugging and Fine-Tuning
  • Model Explainability

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Who should attend this Generative AI for Data Analyst Training Course?

The Generative AI for Data Analyst Course is intended for anyone seeking to enhance their data analytics skills with generative AI techniques. This course is especially advantageous for the following professionals:

  • Data Scientists
  • Business Analysts
  • Data Engineers
  • Machine Learning Enthusiasts
  • Business Intelligence Analysts
  • Marketing Analysts
  • Financial Analysts

Prerequisites of the Generative AI for Data Analyst Training Course

There are no formal prerequisites for attending this Generative AI for Data Analyst Training.

Generative AI for Data Analyst Training Course Overview

Generative AI enables analysts to create synthetic data, including natural language and images, enhancing their ability to analyse and interpret diverse datasets. By incorporating generative AI, Data Analysts can contribute significantly to improved decision-making processes within organisations.

Understanding Generative AI is imperative for Data Analysts, and mastering this subject is particularly crucial for professionals seeking to stay at the forefront of Artificial Intelligence. Those aiming to navigate the complexities of modern data analysis will find this training invaluable, as it opens doors to diverse career opportunities. From Data Scientists to Analysts, individuals can gain a competitive edge in their respective roles by acquiring expertise in generative AI.

The Knowledge Academy's 1-day Generative AI for Data Analyst Training is a transformative experience for delegates, offering a comprehensive understanding of generative AI's practical applications. Delegates will learn to create and manipulate data using generative models, enabling them to analyse patterns, interpret data effectively, and construct predictive models.

Course Objectives

  • To understand the fundamental principles of Generative AI for Data Analysis
  • To explore various Generative AI models and their applications in data analytics
  • To learn how to generate and manipulate textual data using AI techniques
  • To gain proficiency in applying generative models for image data analysis
  • To develop various skills to interpret data patterns and anomalies using AI
  • To learn how to apply Generative AI to enhance predictive modelling capabilities
  • To prepare Data Analysts for a career enriched with generative AI expertise

Upon completion of this Generative AI For Data Analyst Training, delegates will emerge with a profound understanding of Generative AI, equipped to apply advanced techniques in data analysis. This newfound expertise positions them as valuable assets in their organisations, capable of driving innovation and contributing significantly to the evolving field of AI in data analysis.

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What’s included in this Generative AI for Data Analyst Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Generative AI for Data Analyst Certificate
  • Digital Delegate Pack

Why choose us

Our Detroit venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Detroit is the largest city in the state of Michigan, United States. It is located on the United States-Canada border and has a population of around 680,000 people. Denver’s growth is mostly to be credited to the expansion of the automobile industry as they supplied a lot of automotive support for the Allied powers during World War II. Detroit Public Schools govern 66,000 students and it is the largest district in Michigan. Detroit also has a population of charter school students at a rate of about 56,000 pupils. There are many private schools in Detroit including 110 Roman Catholic grade schools which are operated by the Archdiocese of Detroit. Detroit is home to many further education establishments including Wayne State University, University of Detroit Mercy, University of Detroit Mercy School of Law and Sacred Heart Major Seminary. Wayne State University is a national research university which focuses on medical and law majors but offers hundreds of other different academic programs. The University of Detroit Mercy is a Roman Catholic co-educational facility which is affiliated with Sisters of Mercy and Society of Jesus. It provides a wide variety of different academic degrees in a range of different subjects including dentistry, law, architecture and nursing. Sacred Heart Major Seminary is affiliated with the Pontifical University of Saint Thomas Aquinas, Angelicum in Rome. It was founded in 1919 and provides students with pontifical degrees and civil graduate or undergraduate degrees. Students are welcome to be clerical or lay. The University of Michigan was originally established in Detroit in 1817 but was then moved to Ann Arbor in 1837. Other further education facilities include the College for Creative Studies, Lewis College of Business and Marygrove College. The Michigan State University College of Osteopathic Medicine based in East Lansing also has a satellite campus based in the Detroit Medical Center. 

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Address

Detroit, Michigan

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Artificial Intelligence Tools Training | Generative AI For Data Analyst Training Course in Detroit. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Artificial Intelligence Tools Training | Generative AI For Data Analyst Training Course in Detroit, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Artificial Intelligence Tools Training | Generative AI For Data Analyst Training Course in Detroit FAQs

AI stands for Artificial Intelligence, which refers to the simulation of human intelligence in machines that are programmed to think, learn, and solve problems like humans.
AI can assist Data Analysts in automating data preprocessing, predictive modelling, and gaining insights from large datasets more efficiently.
This Generative AI for Data Analyst Training equips individuals with advanced skills to harness generative AI, empowering them to create synthetic data, automate reporting, and enhance data analysis capabilities.
Organisations benefit from improved data analysis efficiency and the ability to generate synthetic datasets for research, development, and testing. This Generative AI For Data Analyst Training enhances analytical capacity and fosters data-driven decision-making.
Common use cases include generating synthetic data for testing, creating predictive models, automating data cleaning processes, and enhancing data visualisation.
Challenges include ensuring data quality, handling biases in generated data, integrating with existing systems, and maintaining model transparency and explainability.
Python and R are the most commonly used programming languages for implementing Generative AI solutions in data analysis.
Emerging trends include advancements in deep learning models, improved natural language processing capabilities, increased use of synthetic data, and the integration of Generative AI with Big Data technologies.
Data Analysts can validate data quality by using statistical methods, cross-referencing with real data, conducting consistency checks, and applying domain-specific validation techniques.
This Generative AI For Data Analyst Training comes with valuable training sessions led by experienced instructors, a digital delegate pack, and a certificate upon completion.
The duration of this Generative AI For Data Analyst Training spans 1 day.
The Generative AI For Data Analyst Training cover topics such as data collection, data cleaning, statistical analysis, data visualisation, SQL, Python/R programming, and Machine Learning basics.
The Generative AI For Data Analyst Certification Courses cover topics such as data collection, data cleaning, statistical analysis, data visualisation, SQL, Python/R programming, and Machine Learning basics.
Yes, we provide 24/7 support for the Generative AI For Data Analyst Certification Course. Our customer service team will be available to assist you before and after the course, with any queries, technical issues, or additional support you may require. We are committed to ensuring your learning experience is seamless and that you have access to assistance whenever you need it.
Career opportunities after completing this Generative AI For Data Analyst Certification Course include roles such as Data Analyst, Business Analyst, Data Scientist, and Data Engineer in various industries like finance, healthcare, and technology.
Yes, you will receive a certification upon successfully completing the Generative AI For Data Analyst Course, validating your expertise and skills.
If you're unable to access your Generative AI For Data Analyst Course in Detroit, please reach out to our support team for assistance. They can be contacted via our phone or e-mail. They will help you resolve any issues and ensure you can access your course without any problems.
In this Generative AI for Data Analyst Training, you will learn to create synthetic data, automate reporting, and gain proficiency in Generative AI tools. You will understand how to employ generative models for data analysis, contributing to enhanced data-driven insights.
The Knowledge Academy in Detroit stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this Generative AI For Data Analyst Course.
The training fees for Generative AI for Data Analyst Training Coursein Detroit starts from $2495
The Knowledge Academy is the Leading global training provider for Generative AI for Data Analyst Training Course.
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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