Data Analytics isn't SQL.
Data Analytics isn't Python.
Data Analytics isn't Tableau.
Data Analytics isn't Power BI.
Data Analytics isn't R.
Data Analytics isn't Statistics.
Data Analytics isn't even spreadsheets.

Data Analytics is exporting dashboards to Excel for people who make 3 times your salary.

Here are some Excel shortcuts that are commonly used by data analysts:

1. Ctrl + C: Copy
2. Ctrl + V: Paste
3. Ctrl + X: Cut
4. Ctrl + Z: Undo
5. Ctrl + Y: Redo
6. Ctrl + S: Save
7. Ctrl + F: Find
8. Ctrl + H: Replace
9. Ctrl + Arrow Keys: Navigate to the edge of data
10. Ctrl + Shift + Arrow Keys: Select data range
11. Ctrl + Home: Go to cell A1
12. Ctrl + End: Go to last cell with data
13. Ctrl + Shift + L: Toggle filters
14. Alt + ; : Select visible cells only
15. F2: Edit active cell
16. Ctrl + Shift + Enter: Enter an array formula
17. Ctrl + D: Fill down
18. Ctrl + R: Fill right
19. Ctrl + 1: Format cells dialog box
20. Ctrl + Shift + 1, 2, 3, etc.: Apply different number formats

These shortcuts can significantly increase your efficiency when working with Excel as a data analyst.

One of the very important tool that a data analyst must be aware of is Excel

Complete step-by-step syllabus of #Excel for Data Analytics

Introduction to Excel for Data Analytics:
Overview of Excel's capabilities for data analysis
Introduction to Excel's interface: ribbons, worksheets, cells, etc.
Differences between Excel desktop version and Excel Online (web version)

Data Import and Preparation:
Importing data from various sources: CSV, text files, databases, web queries, etc.
Data cleaning and manipulation techniques: sorting, filtering, removing duplicates, etc.
Data types and formatting in Excel
Data validation and error handling

Data Analysis Techniques in Excel:
Basic formulas and functions: SUM, AVERAGE, COUNT, IF, VLOOKUP, etc.
Advanced functions for data analysis: INDEX-MATCH, SUMIFS, COUNTIFS, etc.
PivotTables and PivotCharts for summarizing and analyzing data
Advanced data analysis tools: Goal Seek, Solver, What-If Analysis, etc.

Data Visualization in Excel:
Creating basic charts: column, bar, line, pie, scatter, etc.
Formatting and customizing charts for better visualization
Using sparklines for visualizing trends in data
Creating interactive dashboards with slicers and timelines

Advanced Data Analysis Features:
Data modeling with Excel Tables and Relationships
Using Power Query for data transformation and cleaning
Introduction to Power Pivot for data modeling and DAX calculations
Advanced charting techniques: combination charts, waterfall charts, etc.

Statistical Analysis in Excel:
Descriptive statistics: mean, median, mode, standard deviation, etc.
Hypothesis testing: t-tests, chi-square tests, ANOVA, etc.
Regression analysis and correlation
Forecasting techniques: moving averages, exponential smoothing, etc.

Data Visualization Tools in Excel:
Introduction to Excel add-ins for enhanced visualization (e.g., Power Map, Power View)
Creating interactive reports with Excel add-ins
Introduction to Excel Data Model for handling large datasets

Real-world Projects and Case Studies:
Analyzing real-world datasets
Solving business problems with Excel
Portfolio development showcasing Excel skills

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90% of jobs require Excel skills.

But most people underestimate its importance.

Here're 7 Excel hacks you don't want to miss: 🧵 👇🏻

1. Quick Data Analysis:

• Select a cell in your data.
• Home > Analyze Data.
• Choose an option and click Insert PivotChart.

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Excel for Data Analysis

2. Freeze columns/rows:

• Select the cell below and to the right of what you want to freeze
• Click View > Freeze Panes > Freeze Panes

Excel for Data Analysis

3. If Function

• Open Excel and choose a cell.
• Insert IF function.
• Apply and repeat conditions.
• Close bracket and press Enter.

4. Quick Data Analysis:

• Select a cell in your data.
• Home > Analyze Data.
• Choose an option (Rank, Trend, Outlier, Majority) and click Insert PivotChart.

Excel for Data Analysis

5. Format numbers in cells:

• Press CTRL + 1 and select Number.
• Right-click the cell or cell range, select Format Cells… , and select Number.
• Select the small arrow, dialog box launcher, and then select Number.

Excel for Data Analysis

6. Creating Excel formulas:

• Select a cell and Type "="
• Type a cell or function (e.g., SUM)
• Add an operator or range
• Press Enter to see the result in the cell; the formula appears in the Formula bar

7. SUMIFS function:

• Select an empty cell.
• Determine the initial cell range.
• Determine the SUMIF criteria.
• Determine your sum_range criteria.

Excel for Data Analysis

Ask smart questions
The right question can reveal more than a hundred answers. Make them think while you gather intel.

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Roadmap to learn EXCEL

Step 1 - Master Basic Formulas
Step 2 - Data Visualization
Step 3 - Pivot Tables and Analysis
Step 4 - Advanced Functions
Step 5 - Automation with Macros
Step 6 - Power Query and Power Pivot
Step 7 - Collaboration and Sharing
Step 8 - Excel Tips and Tricks

10 Must-Have Excel Skills for Professionals

1.Pivot Table
2. Xlookup
3. Pivot Charts
4. Flash Fill
5. Quick Analysis
6. Power View
7. Conditional Formatting
8. Moving Columns into Rows
9. IF Formulas
10. Auditing Formulas

#excel

🧵 10 Basic Excel Formulas Everyone Needs to Know 👇

🔵 SUM =SUM(A1:A10) — Adds values.
🔵 AVERAGE =AVERAGE(A1:A10) — Finds average.
🔵 COUNT =COUNT(A1:A10) — Counts numbers.
🔵 COUNTA =COUNTA(A1:A10) — Counts non-empty cells.
🔵 IF =IF(A1>10, "Yes", "No") — Conditional result.
🔵 MIN =MIN(A1:A10) — Smallest value.
🔵 MAX =MAX(A1:A10) — Largest value.
🔵 VLOOKUP =VLOOKUP(B1, A1:D10, 2, FALSE) — Looks up value.
🔵 & =A1 & " " & B1 — Joins text.
🔵 LEN =LEN(A1) — Counts characters.

#ExcelTips

If you want to be an Advanced Excel User, do this...

1. Autofit All Columns Alt + H + O + I
2. Flash Fill - CTRL+E
3. Pivot Table - Alt + N + V
4. Conditional Formatting - Alt + H + L
5. Auto Spell - F7

#Excel

5 Must-Have Excel Skills for Professionals

1. Pivot Table
2. Xlookup
3. Pivot Charts
4. Flash Fill
5. Quick Analysis

#Excel

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Mastering Excel can feel like a superpower for any aspiring data analyst.

This versatile tool lets you organize, analyze, and visualize data with ease—giving you a strong foundation in data analysis.

Explore this Excel Cheatsheet to help you get started.

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