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Data Analysis with Excel

Learn to analyze and manipulate large datasets using advanced Excel functions and tools.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1. Discover effective methods to utilize Excel for comprehensive data analysis.

  2. The course includes key techniques for data cleaning, statistical evaluation, and advanced functionalities.

  3. Gain expertise in Excel’s features like pivot tables and data visualization tools.

  4. Learn to apply Excel formulas for efficient data analysis and presentation.

  5. Enhance decision-making skills through the interpretation of complex datasets.

CERTIFICATION:

  1. Earn a Certified Data Analyst with Excel credential to demonstrate your proficiency in using Excel for data analysis and decision-making.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. Grasp essential Excel functionalities for data analysis, focusing on formulas, functions, and management tools.

  2. Utilize pivot tables, charts, and graphs for effective data analysis and visualization.

  3. Conduct statistical analyses and hypothesis testing with Excel’s integrated features.

  4. Streamline dataset cleaning and organization through Excel’s data manipulation capabilities.

  5. Enhance efficiency by automating repetitive tasks with macros and VBA, and develop impactful reports and dashboards for data insights.

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Course Curriculum

Introduction to Data Analysis and Excel
  1. Overview of Data Analysis
    • What is data analysis? Importance and applications.
    • Understanding the role of Excel in data analysis.
  2. Getting Started with Excel
    • Navigating the Excel interface.
    • Working with workbooks, worksheets, rows, columns, and cells.
    • Shortcuts, tips, and tricks to enhance productivity.
Excel Essentials for Data Analysis
  1. Working with Data
    • Importing data into Excel from various sources (CSV, databases, web).
    • Sorting and filtering data.
    • Removing duplicates and handling missing data.
  2. Basic Formulas and Functions
    • Introduction to Excel formulas.
    • Commonly used functions: SUM(), AVERAGE(), COUNT(), IF(), VLOOKUP(), HLOOKUP().
    • Creating dynamic formulas with relative and absolute cell references.
  3. Cell Formatting
    • Formatting numbers, dates, and text.
    • Conditional formatting to highlight patterns and outliers.
Data Visualization with Excel
  1. Charts and Graphs
    • Creating basic charts: column, bar, line, pie, and scatter plots.
    • Customizing charts: colors, labels, legends, and titles.
    • Combining multiple charts.
  2. Advanced Visualizations
    • Using sparklines for mini-visualizations.
    • Funnel charts, combo charts, and histogram creation.
    • Dynamic and interactive dashboards with slicers and timelines.
Data Cleaning and Transformation
  1. Data Cleaning Techniques
    • Removing blank spaces, errors, and duplicates.
    • Using Text to Columns and Flash Fill for data transformation.
    • Data validation to prevent entry errors.
  2. Advanced Data Functions
    • Using TRIM(), CLEAN(), LEFT(), RIGHT(), and MID() for text manipulation.
    • Working with date and time functions (DATE(), TEXT(), NOW()).
    • Advanced lookup functions: INDEX(), MATCH(), and XLOOKUP().
Advanced Excel Features
  1. Pivot Tables
    • Creating and customizing pivot tables.
    • Grouping and filtering pivot table data.
    • Calculated fields and value summarization.
  2. Power Query
    • Importing, transforming, and combining data from multiple sources.
    • Automating data preparation tasks.
    • Performing advanced transformations using the Power Query Editor.
  3. Power Pivot
    • Introduction to data modeling and relationships.
    • Creating calculated measures and fields using DAX (Data Analysis Expressions).
    • Working with large datasets in Power Pivot.
Statistical Analysis in Excel
  1. Descriptive Statistics
    • Calculating mean, median, mode, standard deviation, and variance.
    • Using the Data Analysis ToolPak for quick statistical insights.
  2. Hypothesis Testing
    • Conducting t-tests, ANOVA, and regression analysis.
    • Interpreting statistical outputs.
  3. Correlation and Trend Analysis
    • Calculating correlations between variables.
    • Creating trendlines and forecasting in Excel charts.
Automation and Macros
  1. Introduction to Macros
    • Recording and running macros in Excel.
    • Automating repetitive tasks.
  2. VBA (Visual Basic for Applications) Basics
    • Writing simple VBA scripts for advanced automation.
    • Debugging and editing macros.
    • Integrating VBA with Excel features for custom solutions.
Capstone Project
  1. End-to-End Data Analysis Project
    • Importing raw data from various sources.
    • Cleaning and preparing data for analysis.
    • Creating insightful visualizations and dashboards.
    • Delivering a final report showcasing key insights.

Training Features

Practical Projects

Real-world projects like sales forecasting, customer segmentation, and financial analysis.

Hands-On Learning

Extensive use of datasets for cleaning, analyzing, and visualizing data in Excel.

Interactive Dashboards

Build dynamic dashboards with slicers, charts, and pivot tables to showcase data insights.

Advanced Techniques

Learn to automate processes with macros and Power Query for efficiency.

Mentor Support

Industry-Relevant Skills Master skills required for roles like Data Analyst, Business Analyst, and Financial Analyst.

Certification

Earn a certificate of completion to showcase your expertise in data analysis with Excel.

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