Description

Here are the basic points of data analytics, explained in simple terms:
1. Data Collection
Tools: Excel, SQL, web scraping, APIs.

2. Data Cleaning
Deleting errors, duplicates, and unnecessary information.
Makes data accurate, consistent, and usable.

3. Data Exploration (EDA)
Learning data patterns through summaries and visualization.
Tools: Python (Pandas, Matplotlib), Excel, Tableau.

4. Data Analysis
Applying statistical or computational methods to derive insights.
Examples: averages, trends, correlation, regression analysis.

5. Data Interpretation
Interpreting the results and concluding.
Answers business questions or informs decision-making.

6. Data Visualization
Representing data in charts, graphs, or dashboards for better understanding.
Tools: Power BI, Tableau, Matplotlib, Excel.

7. Decision Making
Making decisions based on data-driven insights to inform strategy, enhance performance, or resolve problems.
Bonus: Common Tools & Skills
Skills: Critical thinking, statistics, communication, problem-solving
If you'd prefer, I can make a visual summary or a plain study guide from this as well.
https://www.sevenmentor.com/data-analytics-courses-in-pune.php