Python for Data Science & AI - Comprehensive Bootcamp
$800.00
Course Title: Python for Data Science & AI - Comprehensive Bootcamp
Course Code: DATA-PY-2025-003
Start Date: December 20, 2025
End Date: December 24, 2025
Duration: 5 Days Intensive (50 Hours)
Mode: In-Person / Virtual Option Available
Price: 2,800 SAR
Certification: Python Data Science Professional Certificate
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Course Synopsis:
Transform raw data into actionable insights. This intensive bootcamp
covers Python programming, data analysis, visualization, and machine
learning fundamentals - everything you need to launch a data science career.
Ideal For:
✅ Aspiring Data Scientists
✅ Business Analysts
✅ Engineers transitioning to data roles
✅ Researchers and academics
✅ Anyone interested in AI/ML careers
What You'll Master:
- Python programming fundamentals
- Data manipulation with Pandas & NumPy
- Statistical analysis and hypothesis testing
- Data visualization (Matplotlib, Seaborn, Plotly)
- Machine Learning basics with Scikit-learn
- Real-world data science projects
Complete Course Outline:
Day 1: Python Fundamentals for Data Science
- Python setup and Jupyter Notebooks
- Variables, data types, and operators
- Control flow (if/else, loops)
- Functions and modules
- List comprehensions and lambda functions
- Hands-on: Building your first data script
Day 2: Data Manipulation & Analysis
- Introduction to NumPy arrays
- Pandas DataFrames and Series
- Reading data (CSV, Excel, JSON, SQL)
- Data cleaning and preprocessing
- Handling missing values
- Filtering, sorting, and grouping data
- Project: Analyzing real-world datasets
Day 3: Data Visualization Mastery
- Matplotlib basics and customization
- Seaborn for statistical plots
- Interactive visualizations with Plotly
- Creating dashboards
- Best practices for visual storytelling
- Workshop: Building executive dashboards
Day 4: Statistical Analysis & Machine Learning
- Descriptive and inferential statistics
- Probability distributions
- Hypothesis testing
- Correlation and regression analysis
- Introduction to Machine Learning
- Supervised vs. Unsupervised learning
- Building your first ML model
Day 5: Advanced ML & Capstone Project
- Classification algorithms (Logistic Regression, Decision Trees)
- Clustering techniques (K-Means)
- Model evaluation and validation
- Cross-validation and hyperparameter tuning
- Feature engineering
- Capstone: End-to-end data science project
- Final assessment and certification
Real-World Projects:
1. Customer segmentation analysis
2. Sales forecasting model
3. Sentiment analysis dashboard
4. Predictive maintenance system
5. Final capstone: Choose your own dataset
Software & Tools:
- Python 3.11+
- Jupyter Notebook / Google Colab
- Pandas, NumPy, Scikit-learn
- Matplotlib, Seaborn, Plotly
- Git/GitHub for version control
Course Materials:
✅ 400+ page comprehensive manual
✅ 50+ datasets for practice
✅ Video recordings of all sessions
✅ Cheat sheets and quick references
✅ Career guidance and job interview prep
✅ 6-month access to online learning platform
Prerequisites:
- Basic computer skills
- High school mathematics
- No prior programming experience required
- Laptop with 8GB+ RAM (required for in-person)
Instructor:
Dr. Mohammad Al-Zahrani - PhD in Computer Science, 10+ years experience
in data science and AI, worked with Microsoft and Google Cloud teams.
Class Size: Limited to 25 students for personalized attention
Certification:
- Completion certificate
- Digital badge
- Project portfolio for job applications
Payment Plans Available: Split into 3 installments
Keywords: Python data science course, data analysis training,
machine learning bootcamp, Python certification Saudi Arabia
