AI+ Data™ - eLearning (exam included)
448,00 EUR
- 40 hours
The AI+ Data Certification provides a comprehensive learning journey, equipping professionals with core data science skills. It covers foundational topics like statistics, programming, and data wrangling, progressing to advanced modules in generative AI and Machine Learning (ML). The program emphasizes data-driven decision-making and storytelling to strengthen both analytical and communication abilities.
Key Features
Language
Course and material in English
Level
Beginner-Intermediate level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
Google Colab, MLflow, Alteryx, KNIME
About the course
Unlock Data-Driven Innovation with AI
- Core Knowledge: Foundations in Data Science, Python, Statistics, and Data Wrangling
- Advanced Learning: Explore Generative AI, Machine Learning, and Predictive Analytics
- Capstone Project: Apply AI to real-world challenges, such as predicting employee attrition
- Career Preparation: Gain practical skills for AI-focused data science roles with guided mentorship
Through hands-on capstone projects and personalized mentorship, learners gain practical experience applying data science techniques to real-world challenges. By combining theory with exercises in Python, R, and cutting-edge technologies, this certification prepares professionals to excel in data science, driving innovation and informed decision-making within their organizations.
Why This Certification Matters
Companies need certified professionals who can turn complex data into actionable insights while maintaining privacy and integrity.
Learning Outcomes
At the end of this course, you will be able to:
Advanced Data Analysis
Develop skills to clean, preprocess, and analyze data using statistical and exploratory methods to extract meaningful insights
Generative AI & Machine Learning
Utilize AI tools and machine learning algorithms to generate insights and create predictive models
Programming & ML Skills
Strengthen proficiency in Python and R, applying them to both basic and advanced machine learning tasks.
Data Storytelling & Decision-Making
Learn to communicate data effectively and make well-informed, data-driven business decisions
Course timeline
Foundations of Data Science
Lesson 1
- 1.1 Introduction to Data Science
- 1.2 Data Science Life Cycle
- 1.3 Applications of Data Science
Foundations of Statistics
Lesson 2
- 2.1 Basic Concepts of Statistics
- 2.2 Probability Theory
- 2.3 Statistical Inference
Data Sources and Types
Lesson 3
- 3.1 Types of Data
- 3.2 Data Sources
- 3.3 Data Storage Technologies
Programming Skills for Data Science
Lesson 4
- 4.1 Introduction to Python for Data Science
- 4.2 Introduction to R for Data Science
Data Wrangling and Preprocessing
Lesson 5
- 5.1 Data Imputation Techniques
- 5.2 Handling Outliers and Data Transformation
Exploratory Data Analysis (EDA)
Lesson 6
- 6.1 Introduction to EDA
- 6.2 Data Visualization
Generative AI Tools for Deriving Insights
Lesson 7
- 7.1 Introduction to Generative AI Tools
- 7.2 Applications of Generative AI
Machine Learning
Lesson 8
- 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
Advance Machine Learning
Lesson 9
- 9.1 Ensemble Learning Techniques
- 9.2 Dimensionality Reduction
- 9.3 Advanced Optimization Techniques
Data-Driven Decision-Making
Lesson 10
- 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
Data Storytelling
Lesson 11
- 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
Capstone Project - Employee Attrition Prediction
Lesson 12
- 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
AI Agents for Data Analysis
Optional Module
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Who Should Enroll in this Program?
Data Analysts & Scientists: Apply AI for predictive modeling and smarter decisions.
Business Intelligence Professionals: Use AI to extract insights from complex data.
IT Specialists & Integrators: Implement AI solutions for optimized data management.
Data Engineers: Build scalable AI-driven data pipelines and architectures.
Industry Growth
Driving Data-Driven Innovation Across Sectors
- Market Growth: Global AI data science market projected to grow at a CAGR of 37.4% from 2023 to 2030 (Grand View Research).
- Industry Transformation: AI-powered analytics is revolutionizing finance, marketing, retail, and other sectors.
- Real-Time Insights: Organizations increasingly use AI for predictive insights and real-time data analysis.
- Automation & Efficiency: AI-driven automation streamlines workflows and improves operational efficiency.
- Enhanced Decision-Making: Sectors like e-commerce, supply chain, and customer service leverage AI for smarter, data-driven decisions.
More Details
Prerequisites
- Fundamental understanding of computer science and statistics (helpful but not required).
- Strong interest in data analysis.
- Openness to learning programming languages like Python and R.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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