

# Event Details

- **Event Name**: Data Analysis using MS Excel
- **Event Start and End Date**: Mon, 04 May, 2026 at 08:00 am – Mon, 04 May, 2026 at 05:00 pm (+08:00)
- **Event Description**: Use MS Excel as a tool for data analysis.  This training focuses on performing descriptive, statistical, and predictive analysis.About this EventThis training program positions Microsoft Excel as a practical and powerful data analysis tool for business and operational decision-making. Participants progress from understanding the data analytics process to performing descriptive, statistical, and predictive analysis using built-in Excel tools such as PivotTables, Power Query, Power Pivot, Analysis Toolpak, What-If Analysis, and forecasting functions. The course emphasizes hands-on analysis, proper interpretation of results, and confidence in handling real-world datasets across multiple Excel versions.​Excel 2007, Excel 2010, Excel 2013, Excel 2016, Excel 2019, Office 365, Microsoft 365By the end of this training, participants will be able to:Understand the end-to-end data analytics process and distinguish between descriptive, statistical, and predictive analyticsAnalyze and summarize large datasets efficiently using advanced PivotTable techniquesPrepare and model data using Power Query and Power Pivot for scalable analysisPerform statistical analysis using Excel’s Analysis Toolpak and interpret results correctlyApply forecasting and predictive techniques to identify trends, relationships, and future outcomesPresent analytical results clearly to support business decisionsWho This Course Is ForProfessionals involved in reporting, analysis, and decision supportAnalysts, supervisors, and managers working with operational or performance dataExcel users who want to move beyond formulas into structured analyticsTeams preparing for advanced reporting, forecasting, or dashboard developmentMethodologiesHands-on analytical exercises using realistic datasets to reinforce concepts in PivotTables, statistics, and forecasting.Guided interpretation and validation sessions to ensure participants understand results, assumptions, and limitations of each analytical method.INCLUSIONSF or onsite:printed handoutprinted certificateAM and PM snacksfastfood lunchcandies and coffeeWIFI accessBring own laptopF or via Zoom:PDF handoutPDF certificateWhere in Cubao:Mpower Learning Manila222 Vivaldi Residences, 628 EDSA cor Aurora Blvd., Cubao, Quezon CityO UTLINEOutlinePart 1. Fundamentals of Data Analytics•Data Analytics Process Flow and Cycle•Types of Data Analytics•Descriptive Analytics•Statistical Analytics•Predictive AnalyticsPart 2. Deep Dive on PivotTables•Review of Basic Pivot Table Features• Grouping Dates and Text Data• Formatting Numbers• Creating Slicers and Timelines• Changing Data Presentation• Show Values as• Changing Calculation• Creating Formulas: Calculated Fields and Items• Adding Texts in the Pivot Table Value AreaPart 3. Data Modeling using Power Query and PowerPivot• Importing Data to Power Pivot• Introduction to Power Query• Choosing Only Needed Columns• Basic Data Wrangling in Power Query• Modifying Text Data• Creating Conditional Columns• Creating PivotTables from PowerPivot• Creating Calculated Columns in a Power Pivot Table• Introduction to DAX FormulasPart 4. Performing Statistical Analysis•. Using the Analysis Toolpak• Descriptive Statistics• Understanding Standard Deviation• Understanding the Empirical Rule (68-95-99.7 Rule)•. Visualizing Data Distribution using Histogram•. Using Skewness and Kurtosis to Analyze Data• Analyzing Variance• Understanding Variance and Formulating the Null Hypothesis• ANOVA Test• Performing F-TestPart 5. Forecasting or Predictive Analysis• Using What If Analysis Tools• Goal Seek and Solver• Scenario Manager• Forecasting Tools in. MS Excel• Types of Forecast: Regression Analysis and Exponential Smoothing• Analyzing Trend using Excel Functions (FORECAST.LINEAR, CORREL, etc.)• Regression Analysis using Analysis Toolpak• Identifying the R-Square​ • P-Value• Calculating Trend Manually• Presenting Regression using Scatter Chart• Creating a Forecast Sheet (Exponential Smoothing)
- **Event URL**: https://allevents.in/mandaluyong-city/data-analysis-using-ms-excel/100001982104471832
- **Event Categories**: workshops, performances, entertainment
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details

- **Ticket URL**: https://consumer.pxf.io/c/1339408/3151484/39691?partnerpropertyid=1191892&MediaPartnerPropertyId=1191892&svlink=14105511&level=1&u=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Fdata-analysis-using-ms-excel-tickets-1982104471832
- **Ticket Price Range**: min: 1153.84, max: 2599, currency: PHP

## Event venue details

- **city**: Mandaluyong City
- **state**: MM
- **country**: Philippines
- **location**: Mpower Learning Manila
- **lat**: 14.6210878
- **long**: 121.0505905
- **full address**: Mpower Learning Manila, 222 Vivaldi Residences, 628 EDSA c.or Aurora Blvd, Mandaluyong City, Philippines

## Event Organizer details

- **affiliate_id**: 10
- **organizer**: Insights Training (https://allevents.in/org/insights-training/22581225)

## Event gallery

- **Alt text**: banner
  - **Image URL**: https://cdn-az.allevents.in/events10/banners/6885cb40b0d3b03efb5a44b37f2fc175049d3bd29a9d16b7320a7c7dcfa37795-rimg-w1200-h678-dc0166ea-gmir.jpg?v=1771828300
- **Alt text**: thumbnail
  - **Image URL**: https://dyn-image.allevents.in/generate-image?v=4&title=Data+Analysis+using+MS+Excel&date=04+May

## FAQs

- **Q**: When is the event happening?
  - **A:** Mon, 04 May, 2026 at 08:00 am (+08:00)
- **Q**: Where is the event happening?
  - **A:** Mpower Learning Manila, 222 Vivaldi Residences, 628 EDSA c.or Aurora Blvd, Mandaluyong City, Philippines
- **Q**: What is the ticket price?
  - **A:** starting from 1153.84 up to 2599 PHP
- **Q**: Who is organizing the event?
  - **A:** Insights Training
- **Q**: What type of event is this?
  - **A:** workshops, performances, entertainment
- **Q**: Where can I find ticket details about Data Analysis using MS Excel ?
  - **A:** You can find ticket details about this event on AllEvents.

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