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Week - 1 |
Introduction: Data Life Cycle, Data Sources and Open Data Platforms (Kaggle, UCI, etc.). |
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Week - 2 |
Web Scraping I: HTML/DOM Structure, Parsing Pages and Data Extraction (BeautifulSoup). |
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Week - 3 |
Web Scraping II: Dynamic Pages, Automation Tools and Advanced Scraping (Selenium, Scrapy). |
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Week - 4 |
Network and Service Integration: RESTful Architecture, HTTP Requests and Fetching Data from APIs (JSON/XML). |
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Week - 5 |
IoT and Sensor Data: Concept of Time-Series Data, Reading Data from Sensor Networks. |
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Week - 6 |
Real-Time Data Streams: Introduction to Message Queues and Stream Management. |
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Week - 7 |
Data Preprocessing I: Data Quality Criteria, Noisy Data and Smoothing Techniques. |
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Week - 8 |
Data Preprocessing II: Missing Data Management (Deletion, Statistical Imputation Methods). |
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Week - 9 |
Data Preprocessing III: Outlier Detection and Management (Z-Score, IQR Method). |
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Week - 10 |
Data Transformation: Scaling, Normalization (Min-Max) and Standardization (Z-score Scaling). |
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Week - 11 |
Data Integration: Combining Data from Different Sources and Formats (Merge, Join Operations). |
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Week - 12 |
Dimensionality Reduction: Curse of Dimensionality, Principal Component Analysis (PCA). |
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Week - 13 |
Unstructured Data Storage: NoSQL Databases and Document-Oriented Storage (MongoDB). |
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Week - 14 |
Preparation for Analysis: Fundamentals of Exploratory Data Analysis (EDA) and Generating Preprocessing Reports. |