Here are some commonly asked questions about Data Analytics to help you get started
Structured data has a predefined format (tables, spreadsheets). Unstructured data lacks a defined format (text, images). Understanding these differences is crucial for data handling.
Histograms, scatter plots, bar charts, and box plots are commonly used to visualize data distributions, relationships, and identify patterns in EDA.
Data cleaning involves handling missing values, identifying and correcting outliers, dealing with inconsistencies, and transforming data for analysis.
Python offers a large community, extensive libraries, versatility, open-source nature, and cross-platform compatibility, making it a popular choice for data science tasks.
Use simple language, focus on storytelling, utilize visualizations, and keep the message concise to effectively communicate data insights to non-technical audiences.
Yes, upon successfully completing the module, you will receive a certificate of completion, which can enhance your resume and LinkedIn profile.
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