MOS Excel
1 **Excel Basics**
1 Introduction to Excel
2 Understanding the Excel Interface
3 Navigating Worksheets
4 Working with Ranges and Cells
5 Entering and Editing Data
6 Saving and Opening Workbooks
7 Basic Formatting Techniques
2 **Data Entry and Management**
1 Entering Text, Numbers, and Dates
2 Using AutoFill and Flash Fill
3 Validating Data
4 Using Data Types
5 Working with Tables
6 Sorting and Filtering Data
7 Using Find and Replace
3 **Formulas and Functions**
1 Introduction to Formulas
2 Using Basic Arithmetic Operators
3 Understanding Cell References
4 Using Named Ranges
5 Introduction to Functions
6 Common Functions (SUM, AVERAGE, COUNT, etc )
7 Logical Functions (IF, AND, OR)
8 Text Functions (LEFT, RIGHT, MID, CONCATENATE)
9 Date and Time Functions (TODAY, NOW, DATE, TIME)
10 Lookup and Reference Functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
4 **Data Analysis**
1 Using Conditional Formatting
2 Creating and Using PivotTables
3 Analyzing Data with PivotCharts
4 Using What-If Analysis Tools
5 Creating and Using Scenarios
6 Using Goal Seek
7 Introduction to Solver
5 **Advanced Formulas and Functions**
1 Array Formulas
2 Using Nested Functions
3 Advanced Logical Functions (IFS, SWITCH)
4 Advanced Text Functions (FIND, SEARCH, REPLACE)
5 Advanced Date and Time Functions (DATEDIF, NETWORKDAYS)
6 Financial Functions (PMT, FV, PV)
7 Statistical Functions (STDEV, VAR, CORREL)
6 **Charts and Graphics**
1 Introduction to Charts
2 Creating and Customizing Charts
3 Using Chart Types (Bar, Line, Pie, etc )
4 Adding and Formatting Chart Elements
5 Creating and Using Sparklines
6 Using Shapes and SmartArt
7 Adding and Formatting Pictures
7 **Data Visualization and Reporting**
1 Creating Dashboards
2 Using Slicers and Timelines
3 Creating and Using Power View
4 Using Power Map
5 Creating and Using Power Pivot
6 Exporting Data to Other Formats
8 **Collaboration and Sharing**
1 Sharing Workbooks
2 Using Excel Online
3 Co-authoring in Real-Time
4 Protecting Workbooks and Worksheets
5 Using Comments and Track Changes
6 Using Excel with OneDrive and SharePoint
9 **Macros and Automation**
1 Introduction to Macros
2 Recording and Running Macros
3 Editing and Debugging Macros
4 Using VBA (Visual Basic for Applications)
5 Automating Tasks with Macros
6 Security Considerations with Macros
10 **Advanced Excel Features**
1 Using Power Query
2 Using Power BI Integration
3 Advanced Data Validation Techniques
4 Using Advanced Filtering
5 Working with External Data Sources
6 Using Excel with Big Data
7 Performance Optimization Techniques
Using Power Query in Excel

Using Power Query in Excel

Power Query is a powerful data transformation and preparation tool integrated into Excel. It allows you to connect to various data sources, clean and shape the data, and load it into your Excel workbook. This webpage will cover three key concepts related to using Power Query: Data Import, Data Transformation, and Data Loading.

1. Data Import

Data Import is the process of connecting to various data sources such as databases, CSV files, web pages, and more. Power Query supports a wide range of data sources, making it versatile for different data extraction needs.

Example: Suppose you need to import data from a CSV file. To do this, go to the "Data" tab, click on "Get Data", and select "From Text/CSV". Browse to your CSV file, select it, and click "Import". Power Query will open, allowing you to preview and transform the data before loading it into Excel.

2. Data Transformation

Data Transformation involves cleaning and shaping the data to make it more usable. Power Query provides a variety of tools to filter, sort, merge, pivot, and modify data. This step is crucial for ensuring the data is in the correct format for analysis.

Example: After importing a dataset, you might notice that some columns contain unnecessary information or are in the wrong format. You can use Power Query to remove unwanted columns, split columns, change data types, and filter out irrelevant rows. For instance, if you have a column with full names and you want to separate them into first and last names, you can use the "Split Column" feature.

3. Data Loading

Data Loading is the final step where the transformed data is loaded into your Excel workbook. Power Query allows you to load the data as a table, PivotTable, or directly into cells. You can also choose to load the data as a connection only, which means the data will be refreshed whenever the source data changes.

Example: Once you have transformed your data, click "Close & Load" in Power Query. You can choose to load the data into a new worksheet, an existing worksheet, or as a PivotTable. If you select "Close & Load To...", you can specify additional options such as loading the data as a connection only, which is useful for large datasets that you want to refresh periodically.