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Excel for Data Analytics – From Data Preparation to Statistical Insights
Excel is often the first analytics tool used in organizations, yet its true analytical potential remains underutilized. Beyond formulas and basic reporting, Excel can support structured data preparation, descriptive and statistical analysis, regression modeling, and insight-driven decision-making—especially when combined with tools like Power Query.
Microsoft Excel That Builds Strong Data & Analysis Skills
This training is designed to help participants use Excel as a complete data analytics tool, covering the full workflow from loading and cleaning data, through descriptive and statistical analysis, to regression and insight communication. The course is hands-on, business-oriented, and practical, using realistic datasets and applied examples rather than academic theory.
Duration
3 Months
Sessions
36
Classes Days
Mon, Wed, Fri
Summary Of The Course
This training is designed to take participants from basic Excel usage to an advanced level of data analysis, reporting, and automation. The course combines strong conceptual understanding with hands-on practice and real business use cases, enabling participants to confidently work with formulas, functions, data analysis tools, and structured datasets to build accurate, efficient, and business-ready Excel models.
Advanced Excel Business Reports & Dashboards
Complex Formula & Function-Based Analysis Projects
Time-Based Analysis & Trend Reporting
Performance-Optimized Excel Models
Advanced Excel formulas and functions
Data analysis using Pivot Tables & Pivot Charts
Working with large datasets efficiently
Applying logical, lookup, and financial functions
Automating tasks using Excel features
Microsoft Excel (Advanced)
Advanced Formulas & Functions
Pivot Tables & Charts
Data Analysis & Reporting Techniques
Excel Optimization & Best Practices
- Load and transform data efficiently using Power Query
- Clean, structure, and prepare raw data for analysis
- Perform descriptive and statistical analysis in Excel
- Use Pivot Tables for exploratory and summary analysis
- Apply regression analysis to understand relationships and drivers
- Interpret statistical and regression outputs for business decisions
- Create clear charts and dashboards to communicate insights
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📚 Table of Contents
Data Preparation and Descriptive Analytics
Session 1: Excel for Analytics – Foundations and Data Thinking
- Role of Excel in data analytics and decision-making
- Understanding analytical datasets: measures, dimensions, and granularity
- Common data issues in real business environments
- Structuring Excel files for scalable and repeatable analysis
Session 2: Loading and Cleaning Data using Power Query
- Introduction to Power Query and its role in analytics
- Loading data from Excel, CSV, folders, and external sources
- Cleaning data: handling missing values, errors, and duplicates
- Transforming data: splitting, merging, and reshaping columns
- Creating repeatable data preparation workflows
Session 3: Descriptive and Exploratory Data Analysis
- Summary statistics and descriptive measures
- Distribution analysis and outlier identification
- Group-wise and comparative analysis
- Using Pivot Tables for exploratory analytics
- Translating descriptive findings into business observations
Statistical Analysis, Regression, and Insight Communication
Session 4: Statistical Analysis in Excel
- Understanding variability, dispersion, and relationships
- Correlation analysis and interpretation
- Applied view of hypothesis testing and significance
- Using Excel statistical tools responsibly
- Interpreting statistical results for business decisions
Session 5: Regression Analysis for Business Use Cases
- Understanding regression and when to use it
- Simple and multiple linear regression in Excel
- Interpreting coefficients, goodness of fit, and assumptions
- Identifying key drivers and relationships
- Limitations and risks of regression analysis
Session 6: Visualization, Dashboards, and Decision Support
- Choosing the right chart for analytical and statistical insights
- Creating trend, comparison, and relationship visualizations
- Designing simple dashboards using Excel
- Communicating insights from statistics and regression clearly
- Wrap-up: end-to-end Excel analytics workflow and best practices
👩🏻💻 Others Course
📚 Table of Contents
Data Preparation and Descriptive Analytics
Session 1: Excel for Analytics – Foundations and Data Thinking
- Role of Excel in data analytics and decision-making
- Understanding analytical datasets: measures, dimensions, and granularity
- Common data issues in real business environments
- Structuring Excel files for scalable and repeatable analysis
Session 2: Loading and Cleaning Data using Power Query
- Introduction to Power Query and its role in analytics
- Loading data from Excel, CSV, folders, and external sources
- Cleaning data: handling missing values, errors, and duplicates
- Transforming data: splitting, merging, and reshaping columns
- Creating repeatable data preparation workflows
Session 3: Descriptive and Exploratory Data Analysis
- Summary statistics and descriptive measures
- Distribution analysis and outlier identification
- Group-wise and comparative analysis
- Using Pivot Tables for exploratory analytics
- Translating descriptive findings into business observations
Statistical Analysis, Regression, and Insight Communication
Session 4: Statistical Analysis in Excel
- Understanding variability, dispersion, and relationships
- Correlation analysis and interpretation
- Applied view of hypothesis testing and significance
- Using Excel statistical tools responsibly
- Interpreting statistical results for business decisions
Session 5: Regression Analysis for Business Use Cases
- Understanding regression and when to use it
- Simple and multiple linear regression in Excel
- Interpreting coefficients, goodness of fit, and assumptions
- Identifying key drivers and relationships
- Limitations and risks of regression analysis
Session 6: Visualization, Dashboards, and Decision Support
- Choosing the right chart for analytical and statistical insights
- Creating trend, comparison, and relationship visualizations
- Designing simple dashboards using Excel
- Communicating insights from statistics and regression clearly
- Wrap-up: end-to-end Excel analytics workflow and best practices
👩🏻💻 Related Course
Why Learn Microsoft Excel?
Microsoft Excel equips you with powerful skills to manage, analyze, and interpret data efficiently. It enables professionals to move beyond basic spreadsheets and perform advanced data analysis, reporting, and automation using formulas, functions, and analytical tools.
High-Demand Advanced Excel Skills
Advanced Microsoft Excel skills are highly valued across industries such as finance, sales, operations, and management—enabling professionals to move into senior data analysis, reporting, and decision-support roles.
Advanced Data Analysis & Business Insights
Learn how to analyze complex datasets, apply advanced formulas and functions, and generate meaningful business insights through structured, accurate, and well-designed Excel reports.
Enterprise-Level Reporting & Optimization
Build scalable, optimized Excel models and reports using best practices, performance-focused techniques, and advanced data tools to support strategic decision-making and enterprise reporting requirements.
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FAQ About Techverse
Get answers about our NAVTTC, PSDF & TEVTA approved courses, job placement support, and career transformation programs
What is the Microsoft Excel program at TechVerse by BGMC?
The Microsoft Excel program at TechVerse by BGMC is designed to help learners develop strong data management, analysis, and reporting skills using Excel for real-world business applications.
Where is the Microsoft Excel training offered?
The Microsoft Excel training is offered through online learning, allowing participants to learn from anywhere with flexible access.
Who can enroll in the Microsoft Excel course?
This course is suitable for students, fresh graduates, professionals, and anyone who wants to improve their Excel skills for data analysis, reporting, or business use.
What are the benefits of learning Microsoft Excel at TechVerse?
Learners gain practical skills in data analysis, formulas, functions, reporting, and automation—helping them work efficiently and make informed business decisions.
Is the Microsoft Excel program approved or recognized?
Yes, the Microsoft Excel program follows industry-relevant practices and provides a certificate upon successful completion.
What makes TechVerse’s Microsoft Excel course different?
TechVerse focuses on hands-on training, real business scenarios, and practical exercises to ensure learners gain job-ready Excel skills.