AI+ Business Intelligence Practitioner™ eLearning
Formerly known as AI+ Business Intelligence™
Empower Your Career with AI+ Business Intelligence Practitioner™ for Advanced Data Solutions
- AI-Powered Business Intelligence: Leverage advanced tools to turn raw data into actionable insights
- Smarter Decision-Making: Make faster, data-driven decisions that align with business objectives
- Strategic Growth: Identify trends, opportunities, and risks to drive sustainable growth
- Data-Driven Innovation: Empower your strategy with predictive analytics and data-informed decisions
Duur: 5 dag(en)
- Business Analysts: Sharpen your skills in data-driven strategies and AI-enhanced business intelligence for improved analysis.
- Data Professionals: Expand your expertise by merging AI with business intelligence to extract actionable insights.
- Executives and Leaders: Leverage AI and BI to craft smarter business strategies and boost organizational performance.
- Tech Enthusiasts: Explore the intersection of AI and business intelligence and understand how these technologies are transforming industries.
- Consultants: Add value to your clients by implementing AI and BI solutions to optimize business outcomes.
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Comprehensive Learning Experience:
Learn essential AI and BI concepts covering data preparation, predictive modeling, deep learning, and generative AI to strengthen your value in data-driven organizations.
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Learn High-Demand Skills:
Master Python, Power BI, Tableau, and machine learning techniques through practical exercises that prepare you to apply these tools in real-world scenarios.
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Real-World Applications:
Apply your knowledge through hands-on activities and a capstone project that strengthens your ability to make smarter, data-driven business decisions confidently.
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Stay Ahead in the Industry:
Gain expertise that positions you competitively in fast-growing AI and BI fields, helping you adapt and thrive in evolving business landscapes.
Inhoud
- 1.1 Overview of AI and BI Integration
- 1.2 Core Concepts in Business Intelligence
- 1.3 Data Analysis Process and AI’s Role
- 1.4 BI Trends and Challenges
- 1.5 Case Study
- 1.6. Hands on Activity
- 2.1 Python Programming Fundamentals
- 2.2 Advanced Python Libraries for BI
- 2.3 Visualization with Python
- 2.4 Hands on Activity
- 3.1 Data Collection Techniques
- 3.2 Data Quality & Evaluation
- 3.3 Advanced Data Preparation
- 3.4 Hands on Activity
- 4.1 ML Models for BI
- 4.2 Hands on Activity
- 5.1 Deep Learning and Neural Networks for BI
- 5.2 Generative AI for BI
- 5.3 Hands on Activity
- 6.1 Statistical Analysis for BI
- 6.2 Time Series Analysis
- 6.3 Hands on Activity
- 7.1 AI in BI Platforms
- 7.2 Power BI Essentials
- 7.3 Tableau Essentials
- 7.4 Hands on Activity
- 8.1 Introduction to Prompt Engineering
- 8.2 Crafting Effective Prompts
- 8.3 Hands on Activity
- 9.1 Data Storytelling & Communication
- 9.2 Solution Presentation
- 10.1 Capstone Project 1
- 10.2 Capstone Project 2
- 10.3 Capstone Project 3
- Scikit-learn
- TensorFlow
- ChatGPT
- Jupyter Notebooks
Lesmethode
Instructor-led OR Self-paced course + Official exam + Digital badge
Kenmerken
Online proctored exam included, with one free retake.
Exam format:
50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Voorkennis
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Familiarity with software applications, Basic knowledge of data analysis (beneficial, not mandatory), Suitable for all expertise levels, with an interest in AI, ML, and BI

