“Statistics with Python Using NumPy, Pandas, and SciPy” explores how to apply statistical and mathematical techniques to data science problems. Throughout the first half of the course, you’ll work on reviewing vector dot products, interpreting text as vectors, and matrix multiplication. You’ll also explore the basics of probability, laying the groundwork for statistical … [Read more...] about Statistics with Python Using NumPy, Pandas, and SciPy
Data Analysis
Data I/O and Preprocessing with Python and SQL
This course focuses on collecting and preprocessing real-world data, moving beyond the clean datasets that learners have encountered in earlier coursework. The core narrative is about handling data as it exists "in the wild" - messy, inconsistent, and coming from various sources. The course includes three modules focusing on data from different sources: web scraping, APIs, and … [Read more...] about Data I/O and Preprocessing with Python and SQL
Exam Prep DP-600: Microsoft Fabric Analytics Engineer
The DP-600 certification course is designed for data professionals, analysts, and developers who want to master Microsoft Fabric for implementing robust analytics solutions. This course covers key concepts such as data ingestion, transformation, modeling, and visualization, enabling learners to design and deploy scalable end-to-end analytics solutions within the Microsoft … [Read more...] about Exam Prep DP-600: Microsoft Fabric Analytics Engineer
BiteSize Python: NumPy and Pandas
This course delves into advanced data structures in Python, focusing on the powerful capabilities of the NumPy and Pandas libraries. It introduces the ndarray, a multidimensional array object provided by NumPy, enabling efficient storage and manipulation of large datasets. Additionally, learners will explore the Series and DataFrame structures offered by Pandas, which … [Read more...] about BiteSize Python: NumPy and Pandas
BiteSize Python: Data Visualization
This course focuses on data visualization, an essential skill for effectively communicating insights derived from data. It introduces three widely used Python packages: Matplotlib, Seaborn, and Plotly, each known for its unique capabilities in data visualization. The course covers the basics of these libraries and demonstrates how to create a variety of visualizations, from … [Read more...] about BiteSize Python: Data Visualization
