1. Data Analysis with Spreadsheets-Overview.pptx

This presentation will guide you through the fundamentals of data analysis using tools like Excel, Google Sheets, and more.

1. Data Analysis with Spreadsheets: From Zero to Insights Unlock the power of your data using spreadsheets. Turn raw information into actionable insights without coding. This presentation will guide you through the fundamentals of data analysis using tools like Excel, Google Sheets, and more. by Dr. K Hussain Associate Professor and Head Dept. of EE SITCOE

2. What is Data Analysis? Data analysis involves examining raw data to draw meaningful conclusions. It's about identifying trends, patterns, and anomalies within data to support decision-making.

3. Spreadsheets: Your Data Analysis Toolkit 1 Microsoft Excel, Google Sheets, and LibreOffice Calc are popular spreadsheet software options. 2 Spreadsheets offer a familiar interface with rows, columns, and cells, making them easy to use. 3 They come with built-in functions and formulas for performing calculations, making data analysis more efficient.

4. Essential Spreadsheet Functions SUM() Adds up values in a range. AVERAGE() Calculates the mean of a range. COUNT()/COUNTA() Counts numeric or non-blank cells. IF() Performs conditional logic.

5. Data Cleaning and Preparation Remove duplicate entries to ensure accurate results. Handle missing values by replacing them with zeros, averages, or other appropriate methods. Standardize data formats for consistency. Remove Duplicates

6. Sorting and Filtering Data 1 Sort data in ascending or descending order to arrange it logically. 2 Filter data to display only rows that meet specific criteria.

7. Pivot Tables: Summarizing Data Create dynamic summaries from large datasets using pivot tables. Calculate sums, averages, counts, and other metrics. Group data by different categories to understand trends and patterns.

8. Data Visualization: Charts and Graphs Bar charts Compare categories. 1 Line charts Show trends over time. 2 Pie charts Represent proportions. 3 Scatter plots Visualize relationships between variables. 4

9. Advanced Techniques 1 VLOOKUP/HLOOKUP Find data in tables. 2 INDEX/MATCH More flexible lookup options. 3 Conditional formatting Highlight cells based on criteria. 4 Statistical functions Perform advanced statistical calculations.

10. Conclusion: Unleash the Power of Spreadsheets 1 Versatility Spreadsheets are powerful and adaptable tools for data analysis. 2 Insights Master basic functions to unlock valuable insights from your data. 3 Continuous Learning Continuous learning and practice are essential for effective data analysis.