Mastering AI and Data Analysis no Coding with JMP Software

Mastering AI and Data Analysis no Coding with JMP Software, available at $19.99, has an average rating of 4.45, with 61 lectures, based on 50 reviews, and has 2171 subscribers.

You will learn about Learners will be able to navigate and utilize the various features and functions available in JMP software effectively. Learners will gain a thorough understanding of data analysis techniques and how to apply them using JMP software. Learners will be able to interpret and visualize data using graphs, charts, and other graphical representations within JMP software. Learners will develop the skills and knowledge necessary to effectively present and communicate their findings and results using JMP software. Learners will develop the skills to effectively analyze and interpret data using statistical modeling and predictive analytics tools in JMP software. This course is ideal for individuals who are Scientists and Researchers: JMP software is designed to aid in data analysis and visualization, making it an excellent tool for scientists and researchers who need to analyze large datasets and extract meaningful insights. It can help them identify patterns, trends, and outliers in their data, and facilitate data-driven decision-making. or Business Analysts: Business analysts often work with complex data from various sources, such as sales, marketing, and customer data. JMP software can assist them in organizing and analyzing this data to derive insights that can drive strategic decision-making for the company. It provides robust statistical tools, predictive modeling capabilities, and data visualization options that can help them communicate findings effectively. or Quality Control Professionals: Those working in quality control and process improvement can benefit greatly from learning JMP software. It provides tools for statistical process control, design of experiments, and root cause analysis, enabling them to identify and mitigate quality issues, optimize processes, and improve overall product quality. or Engineers and Technicians: Engineers and technicians tasked with analyzing and optimizing engineering processes can benefit from learning JMP software. It provides tools for design of experiments, statistical analysis, and modeling, allowing them to identify factors influencing performance, optimize processes, and troubleshoot issues. JMP can also aid in visualizing and communicating results with stakeholders, making it a valuable tool in engineering fields. or Students and Educators: JMP software can be an excellent learning tool for students studying statistics, data science, or any field that heavily relies on data analysis. By learning JMP, students can gain practical experience with statistical analysis, data visualization, and other essential data analysis techniques. Educators can also use JMP software to facilitate hands-on learning and engage students in real-world data analysis projects. It is particularly useful for Scientists and Researchers: JMP software is designed to aid in data analysis and visualization, making it an excellent tool for scientists and researchers who need to analyze large datasets and extract meaningful insights. It can help them identify patterns, trends, and outliers in their data, and facilitate data-driven decision-making. or Business Analysts: Business analysts often work with complex data from various sources, such as sales, marketing, and customer data. JMP software can assist them in organizing and analyzing this data to derive insights that can drive strategic decision-making for the company. It provides robust statistical tools, predictive modeling capabilities, and data visualization options that can help them communicate findings effectively. or Quality Control Professionals: Those working in quality control and process improvement can benefit greatly from learning JMP software. It provides tools for statistical process control, design of experiments, and root cause analysis, enabling them to identify and mitigate quality issues, optimize processes, and improve overall product quality. or Engineers and Technicians: Engineers and technicians tasked with analyzing and optimizing engineering processes can benefit from learning JMP software. It provides tools for design of experiments, statistical analysis, and modeling, allowing them to identify factors influencing performance, optimize processes, and troubleshoot issues. JMP can also aid in visualizing and communicating results with stakeholders, making it a valuable tool in engineering fields. or Students and Educators: JMP software can be an excellent learning tool for students studying statistics, data science, or any field that heavily relies on data analysis. By learning JMP, students can gain practical experience with statistical analysis, data visualization, and other essential data analysis techniques. Educators can also use JMP software to facilitate hands-on learning and engage students in real-world data analysis projects.

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Summary

Title: Mastering AI and Data Analysis no Coding with JMP Software

Price: $19.99

Average Rating: 4.45

Number of Lectures: 61

Number of Published Lectures: 60

Number of Curriculum Items: 62

Number of Published Curriculum Objects: 61

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Learners will be able to navigate and utilize the various features and functions available in JMP software effectively.

Learners will gain a thorough understanding of data analysis techniques and how to apply them using JMP software.

Learners will be able to interpret and visualize data using graphs, charts, and other graphical representations within JMP software.

Learners will develop the skills and knowledge necessary to effectively present and communicate their findings and results using JMP software.

Learners will develop the skills to effectively analyze and interpret data using statistical modeling and predictive analytics tools in JMP software.

Who Should Attend

Scientists and Researchers: JMP software is designed to aid in data analysis and visualization, making it an excellent tool for scientists and researchers who need to analyze large datasets and extract meaningful insights. It can help them identify patterns, trends, and outliers in their data, and facilitate data-driven decision-making.

Business Analysts: Business analysts often work with complex data from various sources, such as sales, marketing, and customer data. JMP software can assist them in organizing and analyzing this data to derive insights that can drive strategic decision-making for the company. It provides robust statistical tools, predictive modeling capabilities, and data visualization options that can help them communicate findings effectively.

Quality Control Professionals: Those working in quality control and process improvement can benefit greatly from learning JMP software. It provides tools for statistical process control, design of experiments, and root cause analysis, enabling them to identify and mitigate quality issues, optimize processes, and improve overall product quality.

Engineers and Technicians: Engineers and technicians tasked with analyzing and optimizing engineering processes can benefit from learning JMP software. It provides tools for design of experiments, statistical analysis, and modeling, allowing them to identify factors influencing performance, optimize processes, and troubleshoot issues. JMP can also aid in visualizing and communicating results with stakeholders, making it a valuable tool in engineering fields.

Students and Educators: JMP software can be an excellent learning tool for students studying statistics, data science, or any field that heavily relies on data analysis. By learning JMP, students can gain practical experience with statistical analysis, data visualization, and other essential data analysis techniques. Educators can also use JMP software to facilitate hands-on learning and engage students in real-world data analysis projects.

Target Audiences

Scientists and Researchers: JMP software is designed to aid in data analysis and visualization, making it an excellent tool for scientists and researchers who need to analyze large datasets and extract meaningful insights. It can help them identify patterns, trends, and outliers in their data, and facilitate data-driven decision-making.

Business Analysts: Business analysts often work with complex data from various sources, such as sales, marketing, and customer data. JMP software can assist them in organizing and analyzing this data to derive insights that can drive strategic decision-making for the company. It provides robust statistical tools, predictive modeling capabilities, and data visualization options that can help them communicate findings effectively.

Quality Control Professionals: Those working in quality control and process improvement can benefit greatly from learning JMP software. It provides tools for statistical process control, design of experiments, and root cause analysis, enabling them to identify and mitigate quality issues, optimize processes, and improve overall product quality.

Engineers and Technicians: Engineers and technicians tasked with analyzing and optimizing engineering processes can benefit from learning JMP software. It provides tools for design of experiments, statistical analysis, and modeling, allowing them to identify factors influencing performance, optimize processes, and troubleshoot issues. JMP can also aid in visualizing and communicating results with stakeholders, making it a valuable tool in engineering fields.

Students and Educators: JMP software can be an excellent learning tool for students studying statistics, data science, or any field that heavily relies on data analysis. By learning JMP, students can gain practical experience with statistical analysis, data visualization, and other essential data analysis techniques. Educators can also use JMP software to facilitate hands-on learning and engage students in real-world data analysis projects.

Hello. My name is Swapnil Saurav and I Welcome you to my comprehensive training course on JMP software! JMP is a powerful statistical analysis tool that provides users with the ability to explore and visualize data, create predictive models, and make data-driven decisions.

Throughout this training, you will learn how to utilize the various features and functions of JMP to analyze data from a wide range of industries and disciplines. Whether you are a beginner or an experienced user, this course is designed to equip you with the knowledge and skills necessary to leverage JMP effectively.

We will start by introducing you to the JMP interface, navigating the different menus and windows, and customizing your workspace to suit your needs. From there, we will delve into the various data import options available in JMP, including importing data from Excel, CSV files, and databases.

Next, we will explore the data manipulation capabilities of JMP, such as sorting, filtering, and transforming data. You will learn how to create and edit formulas, perform calculations, and identify missing values or outliers in your data.

Once you have a clean and organized dataset, we will move on to exploring and visualizing your data. You will discover how to create informative graphs, charts, and plots, as well as perform basic and advanced statistical analyses using JMP’s extensive library of statistical tools.

Additionally, we will cover the basics of predictive modeling in JMP, including building and evaluating regression models, classification models, and decision trees. You will learn how to select the appropriate model, assess its quality, and interpret the results.

I have also included short module on statistics both descriptive and inferential types which will help you to understand the concepts behind the analytics and the models.

By the end of this training, you will have a strong foundation in using JMP software for data analysis and visualization. Whether you are a researcher, analyst, or decision-maker, the skills acquired in this course will enable you to unlock the full potential of your data and make data-driven decisions with confidence.

So let’s dive in and start exploring the incredible capabilities of JMP software!

Course Curriculum

Chapter 1: Getting Started with JMP Software

Lecture 1: Introduction to JMP Software

Lecture 2: Going through the course structure

Lecture 3: Installation of JMP Software

Lecture 4: Other JMP Software

Chapter 2: Data import and manipulation in JMP Software

Lecture 1: Importing data from an Excel File

Lecture 2: Importing data from a CSV File

Lecture 3: Importing data from Google Sheets

Lecture 4: Importing data from MYSQL Database

Lecture 5: Cleaning the data imported into JMP

Lecture 6: Navigating JMP Options

Chapter 3: Introduction to Descriptive Statistics

Lecture 1: Introduction to Statistics

Lecture 2: Dataset and types of data

Lecture 3: Componenets of Descriptive statistics

Lecture 4: Understanding central tendency (Mean, Median, Mode)

Lecture 5: Understanding Measure of Variability (Range, Variance, Standard Deviation)

Lecture 6: Application of Measure of central tendency (Mean, Median, Mode)

Lecture 7: Application of Measure of Variability (Range, Variance, Standard Deviation)

Lecture 8: Application of Measure of Variability in Manufacturing – a discussion

Lecture 9: Understanding different types of visuals

Lecture 10: Understanding business applications of visualization

Lecture 11: Understanding Frequency Table for Categorical values

Chapter 4: Exploratory data analysis using JMP Software

Lecture 1: Scatter Plot in JMP Software

Lecture 2: Bar charts in JMP Software

Lecture 3: Parallel Charts in JMP Software

Lecture 4: Pie Chart in JMP Software

Lecture 5: Heat map in JMP Software

Lecture 6: Map Plot in JMP Software

Lecture 7: Understanding Boxplot

Lecture 8: Box Plot in JMP Software

Lecture 9: Histogram in JMP Software

Lecture 10: More Graphs in JMP Software – Bubble plot, Scatter plot 3D, Contour graph, Area

Chapter 5: Performing Descriptive Statistics in JMP Software

Lecture 1: Frequency Table for Categorical values using JMP

Lecture 2: Plotting One Variable – Numeric and Categorical

Lecture 3: Plotting Two variables – Numeric and Categorical

Lecture 4: Tabulate Statistics

Lecture 5: Assessing Normality

Chapter 6: Performing Inferential Statistics in JMP Software

Lecture 1: Performing sampling in JMP Software

Lecture 2: What is Random Variable

Lecture 3: Generating a Random data

Lecture 4: Confidence Intervals for Population Proportions

Lecture 5: Understanding Hypothesis testing

Lecture 6: Hypothesis Tests for Population Proportions

Lecture 7: Calculating Z Score

Lecture 8: Understanding Chi Square and ANOVA

Lecture 9: Chi Squared Test for a Two-Way Table

Lecture 10: t-Test and Z-Test for continuous variables

Lecture 11: t-Test and ANOVA for categorical variables

Lecture 12: Understanding Correlation

Lecture 13: Correlation

Chapter 7: Running Models

Lecture 1: Introduction to Models

Lecture 2: Linear Regression using JMP

Lecture 3: Metric Discussion for Linear Regression

Lecture 4: Calculating different metric using excel to understand the formula

Lecture 5: Logistic Regression

Lecture 6: Clustering

Lecture 7: Time Series

Lecture 8: Text Explorer

Chapter 8: Additional Topics

Lecture 1: Understanding QQ Plot

Lecture 2: More Options in JMP Software

Lecture 3: Thank You Video

Instructors

Swapnil Saurav
Industry Expert

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2 stars: 1 votes

3 stars: 1 votes

4 stars: 1 votes

5 stars: 47 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!