20 modules available
This lesson provides an overview of data analytics, its importance in modern businesses, and how dat...
This lesson introduces NumPy, a powerful Python library for numerical computing. Students will learn...
This lesson covers essential NumPy operations such as array manipulation, broadcasting, aggregation...
This lesson introduces Pandas, a powerful Python library for data manipulation and analysis. Student...
This lesson focuses on cleaning and preparing raw data using Pandas. Students will learn how to hand...
This lesson teaches students how to analyze datasets using Pandas by applying filtering, grouping, a...
This lesson introduces the fundamentals of data visualization and its importance in communicating in...
This lesson explores advanced data visualization techniques to present complex data clearly and effe...
This lesson introduces tuples in Python, an ordered and immutable data structure used to store multi...
This lesson covers essential statistical concepts such as mean, median, variance, probability, distr...
This lesson introduces SQL as a powerful tool for querying and managing data in relational databases...
This lesson focuses on analyzing and summarizing datasets to uncover patterns, trends, and relations...
This module allows students to apply their knowledge to a real-world dataset by performing data clea...
This lesson introduces Power BI as a business intelligence tool for data visualization and reporting...
This lesson focuses on transforming raw data into a structured and analysis-ready format using Power...
This lesson introduces DAX (Data Analysis Expressions) for creating powerful calculations in Power B...
This lesson introduces the core features of Microsoft Excel, including worksheets, formulas, functio...
This lesson covers essential Excel functions used for data analysis, including logical functions (IF...
This lesson focuses on analyzing datasets to identify trends, patterns, and insights, and presenting...
Data Analysis - Project
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