Mastering Data Magic : Power BI + Tableau + SQL , Analytics

1. Knowledge Analytics: Knowledge analytics is the method of inspecting, cleansing, remodeling, and deciphering information to extract significant insights, patterns, and traits. It helps organizations make knowledgeable selections and enhance their enterprise efficiency by leveraging information.
2. Why Knowledge Analytics: Knowledge analytics is essential for companies to make data-driven selections. It allows organizations to:
   • Establish traits and alternatives.
   • Enhance operational effectivity.
   • Improve buyer expertise.
   • Make knowledgeable strategic selections.
   • Predict future outcomes.
3. Kinds of Knowledge Analytics: There are 4 predominant varieties of information analytics:
   • Descriptive Analytics: Summarizes historic information to offer insights.
   • Diagnostic Analytics: Analyzes information to know why sure occasions occurred.
   • Predictive Analytics: Makes use of historic information to foretell future outcomes.
   • Prescriptive Analytics: Recommends actions primarily based on predictive analytics.
4. Steps Concerned in Knowledge Analytics: The standard steps in information analytics embody information assortment, information cleansing, information exploration, information modeling, information visualization, and interpretation of outcomes.
5. Instruments for Knowledge Analytics: There are numerous instruments for information analytics, together with Energy BI, Tableau, Excel, Python (with libraries like Pandas and Matplotlib), R, and extra.
6. Expertise for Knowledge Analytics: To excel in information analytics, it’s best to have abilities in information manipulation, statistical evaluation, information visualization, area information, and problem-solving. Gentle abilities like communication and teamwork are additionally important.
7. Downloading and Putting in Energy BI Desktop: You possibly can obtain Energy BI Desktop from the official Microsoft web site. After downloading, run the installer and comply with the set up directions.
8. Understanding Interface, Choices, and Settings: Energy BI Desktop has a user-friendly interface with choices and settings to customise your workspace, information sources, and report layouts.
9. Knowledge Supply and Importing Pattern Knowledge: You possibly can join Energy BI to varied information sources, resembling databases, Excel recordsdata, and net providers. You can too import pattern information to apply.
10. Understanding Knowledge and Primary Knowledge Sorts: In Energy BI, you could perceive your information’s construction, information varieties (e.g., textual content, numbers, dates), and clear and rework it for evaluation.
11. Constructing Charts: Energy BI lets you create varied visualizations, together with bar charts, line charts, pie charts, and extra, to characterize your information successfully.
12. Visible Interactions: You possibly can arrange interactions between visuals to create dynamic experiences the place deciding on one visible influences others.
13. Formatting: You possibly can format visuals, fonts, colours, and backgrounds to make your experiences visually interesting and simpler to know.
14. Internet Scraping: Energy BI can extract information from web sites utilizing net scraping methods, permitting you to include exterior information sources.
15. Knowledge Modeling: You possibly can create relationships between tables, outline measures, and construct a knowledge mannequin for correct evaluation and reporting.
16. RDBMS Introduction: Relational Database Administration Methods (RDBMS) like SQL Server, MySQL, and Oracle may be linked to Energy BI to fetch information.
17. Map Visualization: Energy BI helps mapping visualizations to show information geospatially, making it helpful for location-based evaluation.
18. Saving Energy BI Information: It can save you your Energy BI experiences as .pbix recordsdata, which may be shared and opened by others utilizing Energy BI Desktop.
19. Scatter Plot and Different Options: Scatter plots are helpful for visualizing the connection between two numeric variables. Energy BI additionally gives many different options like filtering, drill-through, and customized visuals.
20. Conditional Formatting: You possibly can apply conditional formatting to visuals to focus on particular information factors primarily based on predefined guidelines.
21. Hiding Tables in Report View: You possibly can conceal tables or fields that you just don’t need to show within the report view to declutter your workspace.
22. Grouping, Bar Charts, Column Charts, Ribbon Charts, Small Multiples: These are varied visualization varieties which you can create in Energy BI to characterize your information in numerous methods, resembling grouping information, utilizing bar or column charts, ribbon charts, and displaying small multiples for comparative evaluation.

Energy BI is a robust device for information analytics, and mastering these matters will enable you create informative and visually interesting experiences for data-driven decision-making.