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Course Outline

Day 1

  1. Composition of the Data Science Team (Data Scientist, Data Engineer, Data Visualizer, Process Owner)
  2. Large Language Models
    1. Essential libraries for model deployment (Transformers, PyTorch, Ollama)
    2. Automating the creation of reports using LLMs
    3. Auto-generating reports with LLMs
  3. Business Intelligence
    1. Types of Business Intelligence
    2. Developing Business Intelligence Tools
    3. Connecting Business Intelligence with Data Visualization
  4. Data Visualization
    1. The Importance of Data Visualization
    2. Principles of Visual Data Presentation
    3. Data Visualization Tools (infographics, dials and gauges, geographic maps, sparklines, heat maps, and detailed bar, pie, and fever charts)
    4. Crafting Visual Stories through Color and Numeric Representation
  5. Practical Activity

Day 2

  1. Data Visualization within Python Programming
    1. Applying Data Science with Python
    2. Review of Python Fundamentals
  2. Variables and Data Types (str, numeric, sequence, mapping, set types, Boolean, binary, casting)
  3. Operators, Lists, Tuples, Sets, and Dictionaries
  4. Conditional Statements
  5. Functions, Lambda expressions, Arrays, Classes, Objects, Inheritance, and Iterators
  6. Scope, Modules, Dates, JSON, RegEx, and PIP
  7. Exception Handling (Try/Except), Command Input, and String Formatting
  8. File Handling
  9. Practical Activity

Day 3

  1. Integrating Python with MySQL
  2. Creating Databases and Tables
  3. Database Manipulation (Insert, Select, Update, Delete, Where Clause, Order By)
  4. Dropping Tables
  5. Using the Limit Clause
  6. Joining Tables
  7. Removing Duplicates from Lists
  8. Reversing a String
  9. Data Visualization with Python and MySQL
    1. Utilizing Matplotlib for Basic Plotting
    2. Leveraging Dictionaries and Pandas
    3. Implementing Logic, Control Flow, and Filtering
    4. Customizing Graph Properties (Font, Size, Color Scheme)
  10. Practical Activity

Day 4

  1. Plotting Data in Various Graph Formats
    • Histogram
    • Line Chart
    • Bar Chart
    • Box Plot
    • Pie Chart
    • Donut Chart
    • Scatter Plot
    • Radar Chart
    • Area Chart
    • 2D / 3D Density Plot
    • Dendrogram
    • Maps (Bubble, Heat)
    • Stacked Chart
    • Venn Diagram
    • Seaborn Library
  2. Practical Activity

Day 5

  1. Data Visualization with Python and MySQL
    1. Group Work: Developing a Data Visualization Presentation for Top Management Using ITDI Local ULIMS Data
    2. Presentation of Final Output

Requirements

  • A solid understanding of Data Structures.
  • Prior experience in Programming.

Audience

  • Programmers
  • Data Scientists
  • Engineers
 35 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 6500 € + VAT*

Contact us for an exact quote and to hear our latest promotions

(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)

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Testimonials (1)

Trainer was accommodative. And actually quite encouraging for me to take up the course.

Grace Goh - DBS Bank Ltd
Course - Python in Data Science

Provisional Upcoming Courses (Contact Us For More Information)

Python in Data Science

2026-05-29 09:30
35 hours
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