Opleiding: AI+ Data Practitioner™ eLearning

Formerly known as AI+ Data™

Mastering AI, Maximizing Data: Your Path to Innovation

• Core Concepts Covered: Data Science foundations, Python, Statistics, and Data Wrangling

• Advanced Topics: Dive into Generative AI, Machine Learning, and Predictive Analytics

• Capstone Application: Solve real-world problems like employee attrition with AI

• Career Readiness: Develop skills for AI-driven data science roles with hands-on mentorship

Data Analysts & Scientists: Enhance data analysis capabilities using AI for predictive modeling and decision-making.

Business Intelligence Professionals: Leverage AI to uncover insights, trends, and opportunities in complex data sets.

IT Specialists & System Integrators: Implement AI-powered solutions to optimize data management and infrastructure.

Data Engineers: Design and develop AI-driven data pipelines and architectures for scalable solutions.

Students & New Graduates: Build valuable AI and data science skills to thrive in an increasingly data-driven world.

• Demand for Certified Experts:Organizations seek certified experts who can transform complex data into actionable insights while ensuring data integrity and privacy.
• Mitigating Data and AI Risks:Poor handling of data and AI technologies can lead to inaccurate analysis and business risks. This certification helps professionals mitigate such challenges.
• Designing AI-Driven Data Strategies:Certified professionals play a crucial role in designing AI-driven data strategies that optimize performance and align with regulatory standards.
• Career Advancement:As AI-powered data solutions become essential for businesses, this certification provides professionals with a competitive edge in advancing their careers.

• Course Introduction Preview

• 1.1 Introduction to Data Science
• 1.2 Data Science Life Cycle
• 1.3 Applications of Data Science

• 2.1 Basic Concepts of Statistics
• 2.2 Probability Theory
• 2.3 Statistical Inference

• 3.1 Types of Data
• 3.2 Data Sources
• 3.3 Data Storage Technologies

• 4.1 Introduction to Python for Data Science
• 4.2 Introduction to R for Data Science

• 5.1 Data Imputation Techniques
• 5.2 Handling Outliers and Data Transformation

• 6.1 Introduction to EDA
• 6.2 Data Visualization

• 7.1 Introduction to Generative AI Tools
• 7.2 Applications of Generative AI

• 8.1 Introduction to Supervised Learning Algorithms
• 8.2 Introduction to Unsupervised Learning
• 8.3 Different Algorithms for Clustering
• 8.4 Association Rule Learning with Implementation

• 9.1 Ensemble Learning Techniques
• 9.2 Dimensionality Reduction
• 9.3 Advanced Optimization Techniques

• 10.1 Introduction to Data-Driven Decision Making
• 10.2 Open Source Tools for Data-Driven Decision Making
• 10.3 Deriving Data-Driven Insights from Sales Dataset

• 11.1 Understanding the Power of Data Storytelling
• 11.2 Identifying Use Cases and Business Relevance
• 11.3 Crafting Compelling Narratives
• 11.4 Visualizing Data for Impact

• 12.1 Project Introduction and Problem Statement
• 12.2 Data Collection and Preparation
• 12.3 Data Analysis and Modeling
• 12.4 Data Storytelling and Presentation

• 1. Understanding AI Agents
• 2. Case Studies
• 3. Hands-On Practice with AI Agents

• Google Colab
• MLflow
• Alteryx
• KNIME

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.

De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.