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Statistics and Probability Using Excel

The Microsoft Statistics and Probability Using Excel course equips data analysts, business analysts, and finance professionals with essential skills to derive actionable insights from data using Excel. It solves the critical pain point of making data-driven decisions under uncertainty by teaching hypothesis testing, regression analysis, and forecasting techniques. According to Microsoft’s career paths, demand for data analysts has grown over 35% annually, with professionals using statistical models to detect anomalies and forecast trends.

This course prepares learners for the Microsoft Office Specialist (MOS) Expert certification, enhancing credibility and career advancement. Koenig Solutions offers official vendor-authorized courseware and Guaranteed-to-Run dates, ensuring flexible, reliable access to training. Graduates gain the ability to transform raw data into strategic business forecasts, driving measurable impact in their organizations.

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Course Overview

The Microsoft course Statistics and Probability Using Excel is designed to equip learners with foundational and applied statistical techniques using Microsoft Excel, targeting roles such as Data Analyst, Business Intelligence Analyst, and Data Scientist. Although the associated Exam 70-779: Analyzing and Visualizing Data with Microsoft Excel has been retired, the skills remain highly relevant for professionals leveraging Excel in data analysis. This course covers core topics including descriptive statistics, probability distributions (normal, T-distribution), hypothesis testing, regression analysis, and data visualization—skills directly applicable to real-world business intelligence tasks. With over 700,000 job listings referencing Microsoft data analytics skills, proficiency in Excel-based statistical methods continues to be a sought-after competency across industries.

Students engage with key Microsoft tools and technologies including Microsoft Excel, Power Query, Power Pivot, PivotTables, PivotCharts, and built-in statistical functions such as AVERAGE, STDEV, and NORM.DIST. The hands-on lab environment emphasizes practical application, where learners build dynamic dashboards, perform data cleaning and transformation, construct regression models, and generate histograms and bell curves to interpret data distributions. A central project involves analyzing sales performance data by applying probability concepts and forecasting future trends using historical datasets, enabling students to derive actionable insights through inferential statistics and visual reporting—all within the familiar Excel interface.

This training supports career advancement by preparing learners for data-driven decision-making roles and aligns with industry-recognized credentials like the Microsoft Certified: Power BI Data Analyst Associate (PL-300), which validates expertise in modeling and visualizing data. Certified professionals report salary premiums of $5,000–$10,000 compared to non-certified peers, according to third-party labor market data. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official Microsoft-aligned courseware, and 1-on-1 instructor support, ensuring mastery of statistical concepts. Graduates gain the analytical confidence to pursue roles in data analytics and business intelligence, positioning them for long-term success in an evolving data-centric workforce.

What You'll Learn

Compute descriptive statistics using the Data Analysis Toolpak to summarize central tendency and dispersion within your datasets.
Generate scatter plots and histograms to visualize univariate and bivariate data patterns and identify relationships between variables.
Execute probability calculations and counting techniques using Excel functions to quantify outcomes and assess risk.
Model discrete probability scenarios by applying BINOM.DIST and POISSON.DIST functions to represent real-world events.
Validate continuous probability distributions using NORM.DIST and NORM.INV functions to analyze variability and uncertainty in data.
Implement PivotTables and advanced statistical functions to automate data processing and perform complex hypothesis testing.

Prerequisites

Recommended knowledge before taking this course
  • • Basic understanding of statistics concepts • Familiarity with Excel functions and tools • Basic computer skills • Knowledge of analyzing data and solving mathematical problems • Understanding of data visualization techniques. • An elementary understanding of probability theory can also be beneficial. Statistics and Probability using Excel Certification Training Overview Statistics and Probability using Excel certification training equips learners with the skills to perform statistical analysis in Excel. The course covers general topics such as basic statistical concepts, data analysis and presentation, sampling and estimation, hypothesis testing, regression, and forecasting. Participants also learn about Excel's statistical functions, data tables, and probability distributions. The training enhances the ability to make data-driven decisions, a critical aspect in many professional fields such as business, engineering, and research. Why Should You Learn Statistics and Probability using Excel? Learning Statistics and Probability using Excel course in stats provides significant advantages. It aids in interpreting complex data, enhances decision-making skills, and empowers forecasting accuracy. Furthermore, it increases proficiency in Excel, a crucial tool in many industries. Ultimately, it boosts your analytical skills and marketability, enhancing your career prospects.
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Certification Exam

Everything you need to know about the Statistics and Probability Using Excel certification exam

Exam Details
Exam Name
Statistics and Probability Using Excel
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Descriptive Statistics
Build Excel histograms efficiently Generate actionable Pareto charts Visualize data with Boxplots Use Treemap and Sunburst charts Compute mean, median, and mode Calculate variance and standard deviation Analyze quartiles and percentiles Map univariate data distributions
2
Day 2– Applied Microsoft Probability
Apply the law of complements Identify independent event outcomes Calculate precise conditional probability Implement Bayes' Theorem logic Model complex event probabilities Analyze joint and marginal probabilities Construct accurate probability tables Simulate real-world probability scenarios
3
Day 3– Random Variables Analysis
Define discrete and continuous variables Calculate expected value and variance Model binomial random variables Apply Poisson distribution in Excel Execute Normal distribution functions Graph probability density functions Master the Central Limit Theorem Simulate robust sampling distributions
4
Day 4– Sampling and Confidence Intervals
Design effective random sampling Compute accurate point estimates Construct reliable confidence intervals Adjust for population parameters Apply t-distribution for samples Calculate precise margin of error Interpret critical interval estimates Evaluate optimal sample size requirements
5
Day 5– Advanced Hypothesis Testing
Formulate null and alternative hypotheses Identify Type I and II errors Perform one-sample t-tests Test critical population proportions Compare means of two populations Conduct Chi-Square independence tests Calculate p-values in Excel Drive decisions via Microsoft statistics

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Statistics and Probability Using Excel certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Statistics and Probability Using Excel certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Analyst
  • Business Analyst
  • Financial Analyst
  • Statistical Analyst
  • Reporting Analyst
  • Operations Analyst

Companies Hiring

5,000+
Microsoft Accenture Deloitte Ernst & Young Capgemini Zurich Insurance Sun Life Financial JP Morgan Chase Wipro Infosys

and 5,000+ organizations worldwide seeking Statistics and Probability Using Excel certified professionals

Real Transformations

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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

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    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

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    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

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  • ★★★★★

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    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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