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Development Data Science Data Analysis

Statistics for Data Analysis Using Excel 2016

Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma
Rating: 4.5 out of 54.5 (2,126 ratings)
11,177 students
Created by Sandeep Kumar ­
Last updated 8/2020
English
English
30-Day Money-Back Guarantee

What you'll learn

  • You will learn Descriptive and Inferential Statistics with the help of simple but practical examples.
  • You will learn to use the power of Microsoft Excel to perform statistical calculations for you. No need to remember long formulas and equations.
  • You will understand statistics from basic to advance level to solve business problems using Microsoft Excel.
  • You will learn to make sense out of vast amount of data around you, to make fact based decisions.
Curated for the Udemy for Business collection

Course content

11 sections • 113 lectures • 14h 24m total length

  • Preview04:37
  • Statistics Defined
    04:59

  • Section Introduction - Basics of Statistics and Excel
    01:40
  • Excel Interface (Excel)
    06:28
  • Types of Data in Excel - Text, Numbers, Date/Time, Logical (Excel)
    08:45
  • Qualitative vs Quantitative Data / Continuous vs Discrete (Theory)
    04:37
  • Measurement Scales - Nominal, Ordinal, Interval & Ratio (Theory)
    12:04
  • Basic Statistical Terms - Population and Sample (Theory)
    06:39
  • Understanding Data Types in mtcars Dataset (Excel)
    07:58
  • Understanding Formulas and Functions (Excel)
    05:12
  • Applying Formula to Convert Car Weights from lb to kg (Excel)
    05:17
  • Relative vs Absolute Reference (Excel)
    06:05
  • Basic Formulas, Functions and Named Ranges (Excel)
    14:44
  • More Functions (Excel)
    23:30
  • Practice Activity - Basics of Statistics and Excel - Quiz 1
    5 questions

  • Preview01:47
  • Descriptive Statistics (Theory)
    04:29
  • Descriptive Statistics - Central Tendency (Theory)
    12:14
  • Descriptive Statistics - Variation (Theory)
    11:36
  • Installing Data Analysis Pack and Calculating Descriptive Statistics (Excel)
    07:51
  • Descriptive Statistics - Central Tendency (Excel)
    10:17
  • Descriptive Statistics - Variation (Excel)
    07:02
  • Descriptive Statistics - Shapes (Theory and Excel)
    11:55
  • Arrays (Excel)
    17:21
  • Practice Activity - Descriptive Statistics - Quiz 2
    7 questions

  • Preview02:02
  • Histogram (Theory)
    04:04
  • Create Histogram (Excel)
    07:58
  • Histogram Shapes (Theory)
    06:28
  • Preview04:07
  • Preview02:57
  • Scatter Diagram (Theory)
    03:29
  • Create Scatter Plot using Excel
    08:01
  • Practice Activity - Data Visualization - Quiz 3
    5 questions

  • Preview01:34
  • Basic Probability Concepts - Part 1 (Theory)
    07:48
  • Basic Probability Concepts - Part 2 (Theory)
    09:36
  • Basic Probability Concepts - Part 3 (Theory)
    16:18
  • Basic Probability Concepts - Part 4 (Theory)
    06:25
  • Calculate Factorial, Permutations and Combinations (Excel)
    15:47
  • Practice Activity - Basic Probability Concepts - Quiz 4
    4 questions

  • Preview02:02
  • Central Limit Theorem (Theory)
    14:59
  • Central Limit Theorem Demonstration (Excel)
    13:55
  • Normal Probability Distribution (Theory)
    19:35
  • Normal Probability Distribution (Excel)
    15:01
  • Binomial Probability Distribution (Theory)
    16:19
  • Binomial Probability Distribution (Excel) - 1
    12:45
  • Binomial Probability Distribution (Excel) - 2
    06:47
  • Other Distributions Related to Binomial Distribution (Theory)
    12:18
  • Other Distributions Related to Binomial Distribution (Excel)
    11:10
  • Poisson Distribution (Theory)
    06:16
  • Poisson Distribution (Excel)
    07:54
  • Practice Activity - Probability Distributions - Quiz 5
    6 questions

  • Preview04:17
  • Hypothesis Testing - Types of Errors
    15:39
  • Hypothesis Testing Explained
    13:06
  • Tests for Mean, Variance and Proportions - Introduction
    04:47
  • One Sample z Test (Theory)
    07:07
  • One Sample z Test - Introduction (Excel)
    09:06
  • One Sample z Test - Two Tail Example (Excel)
    05:44
  • One Sample z Test - One Tail Example (Excel)
    07:50
  • Understanding the p Value (Theory)
    04:10
  • One Sample t Test (Theory)
    06:18
  • One Sample t Test - Introduction to T Functions (Excel)
    13:54
  • One Sample t Test - Example (Excel)
    05:49
  • One Sample p Test (Theory)
    08:03
  • One Sample p Test (Excel)
    07:58
  • Two Sample z Test (Theory)
    13:15
  • Preview08:01
  • Two Sample t Test (Theory)
    08:45
  • Two Sample t Test - Equal Variance (Theory)
    13:47
  • Two Sample t Test - Equal Variance (Excel)
    04:32
  • Two Sample t Test - Unequal Variance (Theory)
    05:38
  • Two Sample t Test - Unequal Variance (Excel)
    04:08
  • Two Sample t Test - Paired t Test (Theory)
    08:20
  • Preview04:02
  • Two Sample p Test - Introduction (Theory)
    06:17
  • Two Sample p Test - Example (Excel)
    03:44
  • Tests for Variance (F and Chi Square) - Introduction
    05:22
  • F Test to Compare Variances
    11:03
  • Plotting F Distribution in Excel
    05:38
  • F Distribution Related Functions in Excel
    06:44
  • F.TEST Function in Excel
    04:54
  • F Test Using Data Aanalysis Pack
    03:46
  • Chi Square Test for Variance
    05:46
  • Plotting Chi Square Distribution in Excel
    05:57
  • Chi Square Distribution Related Functions in Excel
    05:55
  • Chi Square Test Example using Excel
    03:42
  • Practice Activity - Hypothesis Testing - Quiz 6
    6 questions

  • Preview03:12
  • Why do you need ANOVA?
    09:02
  • Understanding the concept behind ANOVA without doing any calculation.
    11:29
  • Formulas and calculations in ANOVA
    05:12
  • Performing ANOVA with manual calculations
    14:46
  • Performing ANOVA using Microsoft Excel
    03:39
  • Two Factor ANOVA without Replication (Excel)
    08:18
  • Two Factor ANOVA with Replication (Excel)
    09:25
  • Practice Activity - ANOVA - Quiz 7
    2 questions

  • Section Introduction - Goodness of Fit and Contingency Tables
    00:50
  • Goodness of Fit Test (Theory)
    10:56
  • Goodness of Fit Test (Excel))
    06:52
  • Contingency Table (Theory)
    09:20
  • Contingency Table (Excel)
    09:54

  • Section Introduction - Correlation and Regression
    03:19
  • Introduction to Correlation
    04:12
  • Correlation Coefficient - Manual Calculation
    06:32
  • Plotting Scatter Plot and Calculating Correlation Coefficient (Excel)
    04:12
  • Correlation Coefficient for Mutliple Variables (Excel)
    08:08
  • Correlation Related Functions (Excel)
    04:13
  • Correlation Coefficient - Summary
    05:08
  • Correlation vs Causation
    03:32
  • Coefficient of Determination
    02:47
  • Regression Equation - Manual Calculation
    10:30
  • Regression Related Functions - Slope, Intercept (Excel)
    04:04
  • Regression Related Functions - Forecast.Linear (Excel)
    04:17
  • Regression Related Functions - Trend (Excel)
    05:09
  • Regression Related Functions - Linest (Excel)
    02:59
  • Regression using Data Analysis Pack (Excel)
    06:32

Requirements

  • You should have some basic understanding of Microsoft Excel.

Description

Start loving data and making sense of it. Leverage the power of MS Excel to make it easy!

Learn statistics, and apply these concepts in your work place using Microsoft Excel.

This course is about Statistics and Data Analysis. The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concept. Various examples and data-sets are used to explain the application.

I will explain the basic theory first, and then I will show you how to use Microsoft Excel to perform these calculations.

Following areas of statistics are covered:

Descriptive Statistics - Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation

Data Visualization - 3 commonly used charts: Histogram, Box and Whisker Plot and Scatter Plot

Probability - Basic Concepts, Permutations, Combinations

Population and Sampling

Probability Distributions - Normal, Binomial and Poisson Distributions

Hypothesis Testing - One Sample and Two Samples - z Test, t Test, p Test, F Test, Chi Square Test

ANOVA - Perform Analysis of Variance (ANOVA) step by step doing manual calculation and by MS Excel.



Who this course is for:

  • Business managers and data analysts who are trying make decision based on data and facts
  • Six Sigma Green and Black Belt professionals using MS Excel to conduct statistical analysis

Featured review

Rajeev R Prasad
Rajeev R Prasad
43 courses
27 reviews
Rating: 5.0 out of 5a year ago
I have not come across such a systematic "Statistics" course on the internet yet. Theory as well as simultaneous practice approach via excel were excellently paired - not only explained but also elaborated one after another step by step via day to day examples. A must buy for any student who intends to understand the concepts and learn the related excel skills via "LECDEM".

Instructor

Sandeep Kumar ­
Experienced Quality Manager • Six Sigma Coach • Consultant
Sandeep Kumar ­
  • 4.5 Instructor Rating
  • 30,121 Reviews
  • 146,828 Students
  • 25 Courses

PMI-PMP, IRCA Registered Lead Auditor, ASQ - CSSBB, CQA, CQE, CMQ/OE, IIA - CIA  

Sandeep Kumar has more than 35 years of Quality Management experience. He has worked as Quality Manager/Director on a number of projects, including Power, Oil and Gas and Infrastructure projects.

In addition, he provides consulting services to implement Lean Six Sigma to improve performance. 

His areas of specialization include Quality Assurance, ISO 9001:2015, Lean, Six Sigma, Risk Management, QMS Audits, Supplier Quality Surveillance, Supplier Pre-qualification, Construction Quality, Mechanical Inspection and Quality Training.

Professional Qualifications:

His professional qualification/certifications include: 

• ASQ-CSSBB, Certified Six Sigma Black Belt
• ASQ-CMQ/OE Certified Manager of Quality/Organizational Excellence
• PMI-PMP Certified Project Management Professional

• IRCA Registered Lead Auditor (QMS-2015)

• IIA-CIA Certified Internal Auditor
• ASQ-CSSGB, Certified Six Sigma Green Belt

• ASQ-CQA Certified Quality Auditor

• ASQ-CQE Certified Quality Engineer



   

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