Understanding Data, Statistics & Graphical Analysis

Understanding Data, Statistics & Graphical Analysis, available at $44.99, with 8 lectures, and has 1 subscribers.

You will learn about Data and Statistics Types of data Distinguish different types of data Use graphs and descriptive statistics Practical understanding of data visualization Practice guide Test your understanding This course is ideal for individuals who are Project Managers, Six Sigma Experts, Students curious to understand data and statistics It is particularly useful for Project Managers, Six Sigma Experts, Students curious to understand data and statistics.

Enroll now: Understanding Data, Statistics & Graphical Analysis

Summary

Title: Understanding Data, Statistics & Graphical Analysis

Price: $44.99

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Data and Statistics
Types of data
Distinguish different types of data
Use graphs and descriptive statistics
Practical understanding of data visualization
Practice guide
Test your understanding

Who Should Attend

Project Managers, Six Sigma Experts, Students curious to understand data and statistics

Target Audiences

Project Managers, Six Sigma Experts, Students curious to understand data and statistics

Most working professionals flounder to synthesize information and pick the right visualization.

Understanding data is one of the most critical steps in the data analysis process. It enables correct decisions to be made in analysis and to show the strengths of the data. It also increases the quality of the data and ensures accurate and reliable results. Also, understanding the data is crucial for identifying problems encountered before and during data analysis. It assists in asking the right questions and formulating hypotheses, making the analysis more reliable. Suitable charts and statistics used with Excel enable data exploration, identification of outliers that may create risks in the data, and interpretation of missing data and uncertainties.

This course is an excellent guide for students, aspiring and working professionals to understand, transform and visualize data. You will understand different types of data and practical tips to understand and categorize real life data, some of the most common pitfalls in categorizing data, the usage of different types of graphs with examples and what is descriptive statistics and how it is used to analyze data

By the end of this course, you will be ready to make meaningful representations with real life data. Good luck!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Types of Data

Lecture 3: Common Pitfalls

Lecture 4: Using Graphs to represent data_Part1

Lecture 5: Using Graphs to represent data_Part2

Lecture 6: Descriptive Statistics

Lecture 7: Usage of Descriptive Statistics in analyzing data

Lecture 8: Test your understanding

Instructors

Mounika K Varma
Certified PMP | LSSBB | Instructor

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Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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