Data Analysis using MS Excel

Name: Data Analysis using MS Excel
Start: 2024-07-06T09:00:00+08:00
End: 2024-07-06T16:00:00+08:00
Location: 222 Vivaldi Residences, 628 EDSA c.or Aurora Blvd,Quezon City,1109,PH

Schedule

Sat Jul 06 2024 at 09:00 am to 04:00 pm

UTC+08:00

Location

222 Vivaldi Residences, 628 EDSA c.or Aurora Blvd,Quezon City,1109,PH | Quezon City, MM

Use MS Excel as a tool for data analysis. This training focuses on performing descriptive, statistical, and predictive analysis.
This training aims to use MS Excel as a tool for data analysis. This training focuses on performing descriptive analysis, statistical analysis, and predictive analysis using tools such as Forecast, What If Analysis, Analysis Toolpak, and Power Pivot.
VENUE
-Mpower Training Center
-222 Vivaldi Residences, EDSA cor Aurora Blvd.., Cubao, Quezon City
-Bring own laptop
INCLUSIONS
F or onsite:
-printed handout
-printed certificate
-AM and PM snacks
-fastfood lunch
-candies and coffee
-WIFI access
F or via Zoom:
-PDF handout
-PDF certificate
O UTLINE
Part 1. Fundamentals of Data Analytics •Data Analytics Process Flow and Cycle •Types of Data Analytics •Descriptive Analytics •Statistical Analytics •Predictive Analytics Part 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 Area Part 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 Formulas Part 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-Test Part 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)