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Course Outline

Day 1

  1. Understanding Data Science Team Composition (Data Scientist, Data Engineer, Data Visualizer, Process Owner)
  2. Large Language Models
    1. Common libraries for model deployment (Transformers, PyTorch, Ollama)
    2. Automating the creation of reports with LLMs
    3. Automatically generating reports using LLMs
  3. Business Intelligence
    1. Types of Business Intelligence
    2. Developing Business Intelligence Tools
    3. The Relationship between Business Intelligence and Data Visualization
  4. Data Visualization
    1. The Importance of Data Visualization
    2. Visual Data Presentation Techniques
    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 Numerical Painting and Color Strategy
  5. Activity

Day 2

  1. Data Visualization in Python Programming
    1. 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, Arrays, Classes, Objects, Inheritance, and Iterators
  6. Scope, Modules, Dates, JSON, RegEx, and PIP
  7. Try / Except, Command Input, and String Formatting
  8. File Handling
  9. Activity

Day 3

  1. Integrating Python and MySQL
  2. Creating Database and Table Structures
  3. Manipulating Database Data (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. Using Matplotlib for Basic Plotting
    2. Working with Dictionaries and Pandas
    3. Logic, Control Flow, and Filtering
    4. Manipulating Graph Properties (Font, Size, Color Scheme)
  10. Activity

Day 4

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

Day 5

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

Requirements

  • A foundational understanding of Data Structures.
  • Prior experience with Programming.

Audience

  • Programmers
  • Data Scientists
  • Engineers
 35 Hours

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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

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