PROFICIENCY CERTIFICATE COURSE IN DATA ANALYTICS WITH EXCEL

PROFICIENCY CERTIFICATE COURSE IN DATA ANALYTICS WITH EXCEL

Course Duration and Cost

  • Total Duration: 8-12 weeks (2-3 months)
  • Weekly Commitment: 2 hours per day
  • Course Fee: 15,000 Kenya Shillings

Course Overview

This certificate course focuses on developing essential data analysis skills using Microsoft Excel. Participants will learn to manipulate and analyze data effectively, create insightful visualizations, and derive meaningful conclusions. The course covers basic to intermediate Excel functions and tools commonly used in data analytics, preparing individuals for roles in business analytics, reporting, and decision support.

Course Outline

Week 1: Introduction to Excel for Data Analysis

  • Overview of Excel interface and functionalities
  • Setting up data for analysis
  • Basic formulas and functions (SUM, AVERAGE, COUNT, etc.)
  • Formatting data and cells

Week 2: Data Cleaning and Preparation

  • Importing data into Excel from different sources
  • Cleaning and transforming data (text functions, filtering, removing duplicates)
  • Handling missing values and errors

Week 3: Data Analysis with PivotTables

  • Creating PivotTables for data summarization
  • Filtering and sorting PivotTable data
  • Calculated fields and items in PivotTables
  • Visualizing data with PivotCharts

Week 4: Advanced Data Analysis Tools

  • Using Excel functions for statistical analysis (COUNTIF, SUMIF, AVERAGEIF)
  • Performing data validation and conditional formatting
  • What-if analysis with Goal Seek and Scenario Manager

Week 5: Introduction to Data Visualization

  • Creating charts (bar, line, pie, scatter plots) in Excel
  • Formatting and customizing charts
  • Using Sparklines for quick visual insights

Week 6: Advanced Data Visualization

  • Creating dynamic charts with PivotCharts
  • Using slicers and timelines for interactive dashboards
  • Visualizing trends and patterns in data

Week 7: Statistical Analysis in Excel

  • Descriptive statistics (mean, median, mode, standard deviation)
  • Correlation and regression analysis
  • Using Excel's Data Analysis ToolPak for advanced statistical analysis

Week 8: Business Intelligence with Excel

  • Introduction to Power Query and Power Pivot
  • Creating data models and relationships
  • Building interactive dashboards with Power BI

Week 9: Data Mining and Forecasting

  • Using Excel for data mining techniques
  • Forecasting trends and predictions
  • Time series analysis with Excel

Week 10: Automation with Macros and VBA

  • Recording and editing macros in Excel
  • Writing basic VBA (Visual Basic for Applications) code
  • Automating repetitive tasks

Week 11: Advanced Excel Tips and Tricks

  • Tips for improving efficiency in Excel
  • Excel productivity hacks
  • Integrating Excel with other applications

Week 12: Final Project and Presentation

  • Applying Excel skills to a real-world data analysis project
  • Presenting findings and insights effectively
  • Graduation and certificate award ceremony

Certification

Upon successful completion, students will receive a proficiency certificate in Data Analytics with Excel.

 

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