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Understanding Data, Statistics & Graphical Analysis


Understanding Data, Statistics & Graphical Analysis
Understanding Data, Statistics & Graphical Analysis
Published 7/2024
Duration: 53m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 294 MB
Genre: eLearning | Language: English


Turn data into insights and deliver information using the right graphs.

What you'll 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

Requirements
No skills/experience required. You will learn everything about data and statistics in a simplified way

Description
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!
Who this course is for:
Project Managers, Six Sigma Experts, Students curious to understand data and statistics

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