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Overview of Data Analysis ✒️

📊Five categories of Analytics:

➽ Descriptive analytics is the process of using current and historical data to identify trends and relationships.

➽ Diagnostic analytics is a form of advanced analytics that examines data or content to answer the question, “Why did it happen?” It is characterized by techniques such as drill-down, data discovery, data mining and correlations.

➽ Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques and machine learning

➽ Predictive Analytics predicts what is most likely to happen in the future.

➽Cognitive Analytics applies human-like intelligence to certain tasks, and brings together a number of intelligent technologies, including semantics, artificial intelligence algorithms, deep learning and machine learning.

In this video, we will cover:
00:00- Introduction
00:14- What Is Data Analysis?
00:55- Tasks Of A Data Analysis
02:02- Descriptive Analysis
03:05- Diagnostic Analysis
04:18- Predictive Analysis
06:14- Prescriptive Analysis
07:19- Cognitive Analysis
08:41- How To Register For Our FREE CLASS!

𝗦𝗼𝘂𝗻𝗱𝘀 𝗴𝗼𝗼𝗱? 🤔 Want to know more about the Microsoft Power BI Platform❓

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✔️ What is Microsoft Power BI Platform?
✔️Why choose Power BI?
✔️Advantages of Power BI

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