Data Science, Data Analysis & AI Diploma
Dive deep into the world of Artificial Intelligence and explore the latest advancements in machine learning, neural networks, and natural language processing. Our hands-on workshops cover a wide range of topics, including computer vision, predictive modeling, and intelligent automation.
Introduction to AI
- What is AI?
- The definition of large language models
- What is Generative AI?
- AI in the Market
Data Analysis For AI
- Fundamentals of Data Analysis
- Types of Data (Structured vs. Unstructured)
- Overview of the Data Analysis Workflow
- Industry Applications of Data Analysis
Programming With Python
- Intro to Programming
- Basics of Python (Variables, loops, inputs, conditions)
- Functions with Python
- Data structure (Lists, tuples, sets, dictionaries)
- Python packages (NumPy, Pandas, Matplotlib, Sklearn)
Data Handling
- Data reading (all files)
- Data preprocessing
- Data visualization
- Features selection
SQL and Databases
- Introduction to Databases and SQL
- Data Retrieval with SELECT Statements
- Filtering, Aggregation, and Joins
- Subqueries and Common Table Expressions (CTEs)
- Data Cleaning and Manipulation in SQL
Data Visualization with Power BI
- Introduction to Business Intelligence Tools
- Power BI:
- Data Modeling in Power BI
- Creating Interactive Dashboards
- Using DAX for Advanced Calculations
- Connecting Power BI with SQL and Python
Stats of Machine Learning
- Descriptive Statistics
- Probability Distributions
- Correlation and Covariance
- Sampling Methods
- Dimensionality Reduction
- Outliers and Anomalies
AI Foundations & Hands-On Tools
- Introduction to AI: Facts, concepts, workflow, and impact in business
- AI most important Tools & prompt engineering
Machine Learning
- Supervised learning (Regression, Classification, dimensionality reduction)
- Unsupervised learning (Clustering techniques)
Deep Learning
- Artificial Neural Networks "ANN"
- Convolutional neural networks "CNN"
- Large language models
- Transfer learning
- Object Detection "YOLO"
Soft Skills
- Interviewing skills
- Career planning
- How to set your linkedIn to success
- How to present your ideas
- Free lancing
Graduation
- Final project presentation
- Certificate ceremony
