The AI+ Data certification equips professionals with vital skills for data science. It covers key concepts like Data Science Foundations, Statistics, Programming, and Data Wrangling. Participants delve into advanced topics such as Generative AI and Machine Learning, preparing them for complex data challenges.  Purchase our self-paced online course, or Request a Quote for your team. Course Overview The program includes a hands-on capstone project focusing on Employee Attrition Prediction. Emphasis is placed on Data-Driven Decision-Making and Data Storytelling for actionable insights. Personalised mentorship, immersive projects, and cutting-edge resources ensure a transformative learning journey, preparing individuals for success in AI and data science. 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. Why AI+ Data Demand for Certified Experts: Organisations 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 optimise 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 Modules Module 1: Foundations of Data Science 1.1 Introduction to Data Science 1.2 Data Science Life Cycle 1.3 Applications of Data Science Module 2: Foundations of Statistics 2.1 Basic Concepts of Statistics 2.2 Probability Theory 2.3 Statistical Inference Module 3: Data Sources and Types 3.1 Types of Data  3.2 Data Sources 3.3 Data Storage Technologies Module 4: Programming Skills for Data Science 4.1 Introduction to Python for Data Science 4.2 Introduction to R for Data Science Module 5: Data Wrangling and Preprocessing 5.1 Data Imputation Techniques 5.2 Handling Outliers and Data Transformation Module 6: Exploratory Data Analysis (EDA) 6.1 Introduction to EDA 6.2 Data Visualisation Module 7: Generative AI Tools for Deriving Insights 7.1 Introduction to Generative AI Tools 7.2 Applications of Generative AI Module 8: Machine Learning Refresher  8.1 Introduction to Supervised Learning Algorithms 8.2 Introduction to Unsupervised Learning 8.3 Different Algorithms for Clustering 8.4 Association Rule Learning Module 9: Advance Machine Learning 9.1 Ensemble Learning Techniques 9.2 Dimensionality Reduction 9.3 Advanced Optimization Techniques Module 10: Data-Driven Decision-Making 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 Module 11: Data Storytelling 11.1 Understanding the Power of Data Storytelling 11.2 Identifying Use Cases and Business Relevance 11.3 Crafting Compelling Narratives 11.4 Visualising Data for Impact Module 12: Capstone Project - Employee Attrition Prediction 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 Learning Outcomes Data Visualization Techniques. Data Quality and Bias Mitigation. Deep Learning for Data Processing. Statistical Modeling. Big Data Technologies. AI Tools You will master the following AI tools in our AI+ Data course Who Should Attend 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. Delivery options AI+ Data is available as a self-paced online course or instructor-led.  Instructor-led: Held over 5 days, it is an intensive week of training which includes live demos, hands-on labs, real-time Q&A and peer collaboration. This course can be delivered onsite at your premises or in our virtual classroom. Request a quote for your team  Self-Paced online: 40-hours of on-demand video lessons, e-book and podcasts. Access to your own online learning portal for 12-months to work through and certify. Learn anywhere, anytime, with modular quizzes to track progress. Pre-requisites Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.  Exam & Certification This course prepares participants for the examination leading to AI+ Data certification. The exam is held online via a proctored exam platform.  Duration: 90 minutes Questions: 50 multiple-choice/multiple-response Passing mark: 70% (35 questions correct out of 50 questions) Delivery: completed online via your AI Certs learning portal A digital certification will be provided upon passing Exam Blueprint: Foundations of Data Science – 5% Foundations of Statistics – 5% Data Sources and Types – 6% Programming Skills for Data Science – 10% Data Wrangling and Preprocessing – 10% Exploratory Data Analysis – 12% Generative AI Tools for Deriving Insights – 6% Machine Learning – 10% Advance Machine Learning – 10% Data-Driven Decision-Making – 10% Data Storytelling – 6% Capstone Project - Employee Attrition Prediction – 10% Course Materials & Inclusions One-year subscription to the AI+ course materials, these are regularly updated to ensure the latest developments are included in your courseware. This includes: High-Quality Videos, E-book (PDF & Audio), and Podcasts  AI Mentor for Personalised Guidance  Quizzes, Assessments, and Course Resources  Comprehensive Exam Study Guide  Official AI+ Certification Online Proctored Exam   One Free Exam Retake  You will receive a digital certification upon passing the online examination.