Category: Computer Course
Data Visualization with Python
Month 1: Python Fundamentals
Goal: Establish a strong foundation in Python programming.
• Class 1-2: Introduction to programming, Python basics (variables, data types, operators).
• Class 3-4: Control structures (if-else, loops), input/output operations.
• Class 5-6: Functions and modules, code organization, introduction to Python standard library.
• Class 7-8: Basic data structures (lists, tuples, dictionaries, sets).
Month 2: Advanced Python Concepts
Goal: Prepare students for data analysis with Python.
• Class 1-2: File handling (read/write operations).
• Class 3-4: Error handling, debugging, and logging.
• Class 5-6: Classes and objects (OOP concepts).
• Class 7-8: Introduction to libraries (NumPy basics).
Month 3: Data Handling with Python
Goal: Equip students with skills to manipulate and analyze data.
• Class 1-2: NumPy (arrays, operations, indexing).
• Class 3-4: Pandas (data frames, series, data cleaning).
• Class 5-6: Pandas (data manipulation, merging, grouping).
• Class 7-8: Pandas (handling missing data, exporting data).
Month 4: Data Visualization Basics
Goal: Transition into creating basic visualizations.
• Class 1-2: Introduction to data visualization, why it matters, Matplotlib basics.
• Class 3-4: Matplotlib (line plots, bar plots, scatter plots).
• Class 5-6: Customizing plots (titles, legends, annotations).
• Class 7-8: Introduction to Seaborn, comparing it with Matplotlib.
Month 5: Intermediate Data Visualization
Goal: Enhance understanding with more advanced visualizations.
• Class 1-2: Seaborn (histograms, KDE plots, categorical plots).
• Class 3-4: Seaborn (pair plots, heatmaps, correlation matrices).
• Class 5-6: Advanced customization in Seaborn and Matplotlib.
• Class 7-8: Saving and exporting visualizations for presentations.
Month 6: Interactive and Specialized Visualization
Goal: Learn to create interactive visualizations.
• Class 1-2: Introduction to Plotly (scatter plots, line charts).
• Class 3-4: Plotly (interactive dashboards, maps).
• Class 5-6: Advanced Plotly (subplots, styling).
• Class 7-8: Introduction to specialized tools like Geopandas (maps) or WordCloud (text data).
Month 7: Real-world Data Visualization Projects
Goal: Apply skills to real-world scenarios.
• Class 1-2: Exploratory data analysis (EDA) basics.
• Class 3-4: Case study 1: Visualizing sales data.
• Class 5-6: Case study 2: Analyzing survey results.
• Class 7-8: Case study 3: COVID-19 data visualization.
Month 8: Dashboard and Reporting
Goal: Learn to create dashboards and automate reports.
• Class 1-2: Introduction to dashboards (dash with Plotly).
• Class 3-4: Creating interactive dashboards (filters, callbacks).
• Class 5-6: Automating reports with Python.
• Class 7-8: Best practices for effective reporting and storytelling.
Month 9: Final Project and Advanced Topics
Goal: Conclude with projects and advanced topics.
• Class 1-2: Advanced techniques (animations).
• Class 3-4: Final project planning (defining objectives and datasets).
• Class 5-6: Final project development (guidance and troubleshooting).
• Class 7-8: Project presentations, review, and feedback.
