What is Certified Artificial Intelligence for Data Analysts Training?

The Certified Artificial Intelligence for Data Analysts Training is designed to provide Learners with a comprehensive understanding of artificial intelligence (AI) applications in data analysis. This course covers AI-driven tools and techniques, including machine learning, natural language processing, and predictive modelling, enabling learners to optimise data workflows and generate deeper insights.

Learners will gain hands-on experience using AI tools such as Python, R, and TensorFlow to automate data analysis tasks and solve complex business challenges. Practical exercises and real-world case studies prepare learners to integrate AI into data analysis processes and improve decision-making outcomes.

This comprehensive 1-day Certified AI for Data Analysts Training Course by Oakwood International empowers professionals to leverage AI in analytics, positioning them as leaders in data-driven decision-making.
 

Course Objectives
 

  • To understand the fundamentals of AI and its applications in data analysis
  • To develop skills in implementing machine learning models for predictive analytics
  • To explore AI-driven tools for data visualisation and automation
  • To gain expertise in natural language processing (NLP) for text analysis
  • To integrate AI techniques into traditional data workflows
  • To ensure data accuracy, reliability, and ethical use of AI tools
  • To apply AI solutions to real-world business challenges

Upon completion, Learners will be equipped to harness AI for advanced data analysis, driving innovative and strategic insights.

Course Outline

Certified Artificial Intelligence for Data Analysts Training

Module 1: Introduction to AI for Data Analysts

  • Understanding Artificial Intelligence and Machine Learning
  • Key AI Concepts and Terminologies for Data Analysts
  • Role of AI in Modern Data Analysis
     

Module 2: AI-Driven Data Collection and Preprocessing

  • Automated Data Collection with AI Tools
  • Data Cleaning and Preprocessing Using AI
  • AI Techniques for Data Normalisation and Transformation
  • Practical Applications of AI in Data Preprocessing
     

Module 3: Machine Learning Fundamentals

  • Introduction to Machine Learning and Its Types
  • Supervised vs. Unsupervised Learning
  • Key Algorithms and Models in Machine Learning
  • Practical Applications of Machine Learning in Data Analysis
     

Module 4: Advanced AI Techniques in Data Analysis

  • Deep Learning and Neural Networks
  • Natural Language Processing (NLP) for Text Analysis
  • Computer Vision for Image and Video Analysis
  • Case Studies of Advanced AI Techniques in Data Analysis
     

Module 5: AI in Predictive and Prescriptive Analytics

  • Prescriptive Analytics and Decision Making in AI
  • AI for Forecasting and Trend Analysis
  • Practical Applications of Predictive and Prescriptive Analytics
     

Module 6: AI Tools and Frameworks for Data Analysts

  • Overview of Popular AI Frameworks and Libraries
  • Best Practices for Using AI Libraries and APIs
  • Enhancing Data Analysis with AI Tools
     

Module 7: AI for Data Visualisation and Reporting

  • AI-Driven Data Visualisation Techniques
  • Enhancing Reporting with AI-Generated Insights
  • Case Studies of AI in Data Visualisation and Reporting
     

Module 8: Ethical and Legal Considerations in AI for Data Analysis

  • Understanding Ethical Implications of AI in Data Analysis
  • Legal Framework and Compliance Issues
  • Responsible Use of AI in Data Practices
  • Future Trends and Challenges in AI for Data Analysts

Included

Included

  • No course includes are available.

Offered In This Course:

  • vedio Video Content
  • elearning eLearning Materials
  • exam Study Resources
  • certificate Completion Certificate
  • study Tutor Support
  • workbook Interactive Quizzes
Individual Training

Individual Training fosters personal growth, enhances professional skills, and builds confidence.

Get a Quote rightblue-arrow
Corporate Training

Corporate Training improves employee skills, increases productivity, and aligns teams with company objectives.

Learning Options

Discover a range of flexible learning options designed to meet your needs. Select the format that best supports your personal growth and goals.

Online Instructor-Led Training

  • Live virtual classes led by experienced trainers, offering real-time interaction and guidance for optimal learning outcomes.

Online Self-Paced Training

  • Flexible learning at your own pace, with access to comprehensive course materials and resources available anytime, anywhere.

Build your future with Oakwood International

We empower you with the skills, knowledge, and confidence to excel in your career. Join us and take the first step towards realising your professional goals.

Frequently Asked Questions

Q. What topics are covered in the Certified AI for Data Analysts Training?

The course covers AI fundamentals, machine learning, NLP, predictive analytics, AI-driven visualisation, automation, and ethical considerations.

Q. How can this training benefit my career?

This certification validates your expertise in applying AI to data analysis, enhancing your qualifications for advanced analytics and AI-driven roles.

Q. Is AI applicable across industries?

Yes, AI is widely applicable and highly valued in industries such as finance, marketing, healthcare, and logistics for advanced data analysis and optimisation.

Q. What support is provided during the training?

Learners receive comprehensive study materials, hands-on exercises, and expert instructor guidance to ensure practical understanding and certification readiness.

Q. Is this course suitable for beginners?

No, this course is designed for professionals with foundational knowledge in data analysis, statistical techniques, or related fields.

Didn’t Find What You’re Looking For?