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Excel Statistical Analytics

8 weeks
48 hours

Master statistical analysis in Excel: Learn descriptive stats, hypothesis testing, regression. Hands-on practice for data-driven decisions.

Course Overview

This course is designed to equip participants with a comprehensive understanding of statistical analysis techniques using Microsoft Excel. Participants will learn how to leverage Excel's powerful features to perform various statistical analyses, including descriptive statistics, hypothesis testing, regression analysis, and more. Through hands-on exercises and real-world examples, participants will gain practical skills that can be applied to data-driven decision-making in various professional fields.

Advantage

Gain a competitive edge with our course, mastering statistical analysis using Microsoft Excel. Learn to leverage Excel's robust features for descriptive statistics, hypothesis testing, regression analysis, and beyond. Hands-on exercises and real-world examples ensure practical skills application for data-driven decision-making across industries.

What you'll learn

The fundamentals of statistical analysis
Learn how to use Excel functions and tools
Descriptive statistics techniques in Excel
Hypothesis testing methods
Regression analysis
Practical skills for data-driven decision-making
Hands-on application of statistical analysis tools in Excel

Admission Process

Please call to admission counselor for course fees, registration fees, EMI fecilities,registration form and other formalities. Contact to admission counselor

+91-9830247087

Who Can Join?

Any graduate with knowledge of basic computing.

Requirment

1. Personal computer/laptop with webcam and microphone

2. Stable internet connections

Payment Details

Bank Details:
KLMS HANDS-ON SYSTEMS PRIVET LIMITED
Account Number: 19700200000420
IFSC Code: BARB0SALTLA (5th letter is numeric zero)
UPI Payment: 9432257052@okbizaxis

Live Instructor-Led Course
Project and Case Studies
Certificate of completion
Learn from Experts
Placement Assistance

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About us

Handson's mission is to build a easy to use comprehensive educational platform for learner whether fresher or experienced professional.

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Vasundhara Complex, Sector V, AN Block, Building-II, Kolkata-700102, West Bengal, India

+91 9830247087

[email protected]

Excel Statistical Analytics

Excel Statistical Analytics

Course Overview

Advantage

What you'll learn

Admission Process

Who Can Join?

Requirment

Payment Details

Follow Us

About us

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Quick Links

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Our Courses

Excel Statistical Analytics

Excel Statistical Analytics

Course Overview

Advantage

What you'll learn

Introduction to Excel for Statistical Analysis

Module 1: Overview of Excel statistical capabilities

Module 2: Setting up data for analysis

Module 3: Introduction to data types and formats in Excel

Module 4: Basic Excel functions for statistical analysis

Descriptive Statistics in Excel

Module 1: Measures of central tendency (mean, median, mode)

Module 2: Measures of dispersion (range, variance, standard deviation)

Module 3: Quartiles, percentiles, and box plots

Module 4: Histograms and frequency distributions

Probability Distributions

Module 1: Introduction to probability distributions

Module 2: Normal distribution and its properties

Module 3: Sampling distributions and Central Limit Theorem

Module 4: Using Excel to generate random numbers and simulate distributions

Hypothesis Testing

Module 1: Understanding hypothesis testing concepts

Module 2: One-sample and two-sample t-tests

Module 3: Paired t-tests

Module 4: Chi-square tests for categorical data

Analysis of Variance (ANOVA)

Module 1: Introduction to ANOVA

Module 2: One-way ANOVA

Module 3: Two-way ANOVA

Module 4: Post-hoc tests for ANOVA results

Correlation Analysis

Module 1: Understanding correlation and covariance

Module 2: Pearson correlation coefficient

Module 3: Spearman rank correlation

Module 4: Visualizing correlations using scatter plots

Regression Analysis Part 1

Module 1: Introduction to regression analysis

Module 2: Simple linear regression

Module 3: Multiple linear regression

Module 4: Interpreting regression coefficients

Regression Analysis Part 2

Module 1: Assessing the goodness of fit (R-squared, adjusted R-squared)

Module 2: Residual analysis and diagnostics

Module 3: Non-linear regression

Module 4: Time-series forecasting using Excel

Advanced Statistical Techniques

Module 1: Logistic regression

Module 2: Poisson regression

Module 3: Time-series analysis

Module 4: Survival analysis

Data Mining with Excel

Module 1: Introduction to data mining concepts

Module 2: Using Excel data analysis tools

Module 3: Clustering analysis

Module 4: Decision trees and classification

Data Visualization and Dashboards

Module 1: Creating charts and graphs in Excel

Module 2: Customizing visualizations for effective communication

Module 3: Building interactive dashboards

Module 4: Incorporating statistical analysis into dashboards

Practical Applications and Case Studies

Module 1: Real-world applications of Excel statistical analysis

Module 2: Case studies and practical examples

Module 3: Tips for effective data analysis and presentation

Module 4: Q&A and course review

Admission Process

Who Can Join?

Requirment

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