What is the fundamental of data analytics?

aarush

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).
Please visit our website:- Data Analytics Classes in Pune
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
What does the data say?
How can it inform business or strategic decision-making?
Please visit our website:-Data Analytics Course in Pune
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, beginning with tools such as Excel and SQL.

Please visit our website:- Data Analytics Training in Pune