kabir
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| What is the fundamental of data analytics? (13th Aug 25 at 9:47am UTC)
The fundamentals of data analytics are learning to gather | | Data Analytics Classes in Pune The fundamentals of data analytics are learning to gather, process, analyze, and interpret data to make decisions. Here's a basic breakdown:
1. Understanding the Data
What is data? Raw facts and numbers.
Types of data:
Structured: Data in rows/columns (e.g., spreadsheets, databases).
Unstructured: Text, images, videos.
Quantitative: Numerical (e.g., sales, age).
Qualitative: Descriptive (e.g., customer feedback).
2. Key Steps in Data Analytics
a. Data Collection
Collect data from sources such as surveys, databases, APIs, or web scraping.
b. Data Cleaning
Correct errors, deal with missing data, and structure data to be analyzed.
Tools: Excel, Python (Pandas), SQL.
c. Data Exploration and Analysis
Find patterns, trends, or outliers.
Use statistics and visualizations.
Techniques: mean, median, correlation, frequency, etc.
d. Data Visualization
Tools: Excel, Tableau, Power BI, matplotlib/seaborn (Python).
e. Interpretation and Insight Data Analytics Course in Pune
What does the data say?
How can it inform business or strategic decision-making?
3. Simple Tools and Skills
Excel – For spreadsheets and simple analysis.
SQL – To pull data out of databases.
Python or R – For complex analysis and automations.
4. Types of Data Analytics
Descriptive: What happened? (e.g., monthly sales report)
Diagnostic: Why did it happen? (e.g., decline in customer satisfaction)
Predictive: What could we expect to happen? (e.g., predicting future sales)
Prescriptive: What do we do next? (e.g., how to maximize marketing strategy)
✅ Summary:
The fundamentals of data analytics include gathering, cleaning, analyzing, and displaying data to discover helpful insights.
just develop your skills step by step, Data Analytics Training in Pune beginning with tools such as Excel and SQL. | |
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