Mastering AI and Data Analysis no Coding with JMP Software

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Swapnil Saurav

4:18:18

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1. Getting Started with JMP Software

1. Introduction to JMP Software.mp4

02:48

2.1 2-2 Contents.pdf

2. Going through the course structure.mp4

06:18

3. Installation of JMP Software.mp4

03:46

4. Other JMP Software.mp4

01:59

2. Data import and manipulation in JMP Software

1.1 Superstore.xlsx

1. Importing data from an Excel File.mp4

05:59

2.1 vaccination-data.csv

2. Importing data from a CSV File.mp4

01:23

3. Importing data from Google Sheets.mp4

02:37

4. Importing data from MYSQL Database.mp4

04:56

5.1 Superstore.xlsx

5. Cleaning the data imported into JMP.mp4

11:36

6.1 VARIOUS OPTIONS AVAILABLE IN JMP SOFTWARE.pdf

6. Navigating JMP Options.mp4

02:32

3. Introduction to Descriptive Statistics

1. Introduction to Statistics.mp4

04:40

2. Dataset and types of data.mp4

08:25

3. Componenets of Descriptive statistics.mp4

07:34

4. Understanding central tendency (Mean, Median, Mode).mp4

10:10

5. Understanding Measure of Variability (Range, Variance, Standard Deviation).mp4

04:52

6. Application of Measure of central tendency (Mean, Median, Mode).mp4

15:14

7. Application of Measure of Variability (Range, Variance, Standard Deviation).mp4

06:18

8. Application of Measure of Variability in Manufacturing - a discussion.mp4

06:32

9.1 4-1 A Understanding Different Types of Visuals and their Applications.pdf

9. Understanding different types of visuals.mp4

06:42

10.1 4-1 B Understanding Different Types of Visuals and their Applications.pdf

10. Understanding business applications of visualization.mp4

17:03

11. Understanding Frequency Table for Categorical values.mp4

05:54

4. Exploratory data analysis using JMP Software

1.1 Scatter plot tutorial.pdf

1.2 Superstore.xlsx

1. Scatter Plot in JMP Software.mp4

04:11

2.1 Bar plot tutorial.pdf

2. Bar charts in JMP Software.mp4

05:58

3. Parallel Charts in JMP Software.mp4

03:26

4. Pie Chart in JMP Software.mp4

03:51

5. Heat map in JMP Software.mp4

01:55

6. Map Plot in JMP Software.mp4

02:39

7. Box Plot in JMP Software.mp4

04:20

8. Histogram in JMP Software.mp4

02:59

9. More Graphs in JMP Software - Bubble plot, Scatter plot 3D, Contour graph, Area.mp4

04:47

5. Performing Descriptive Statistics in JMP Software

1. Frequency Table for Categorical values using JMP.mp4

05:05

2. Plotting One Variable - Numeric and Categorical.mp4

05:54

3. Plotting Two variables - Numeric and Categorical.mp4

05:46

4. Tabulate Statistics.mp4

03:15

5. Assessing Normality.mp4

02:09

6. Assignment 1 - Data exploration and understanding through Graphs and Plots.html

6. Performing Inferential Statistics in JMP Software

1. Performing sampling in JMP Software.mp4

03:50

2. Generating a Random data.mp4

02:28

3. Confidence Intervals for Population Proportions.mp4

03:11

4. Hypothesis Tests for Population Proportions.mp4

05:05

5. Calculating Z Score.mp4

04:32

6. Chi Squared Test for a Two-Way Table.mp4

02:45

7. t-Test and Z-Test for continuous variables.mp4

03:37

8. t-Test and ANOVA for categorical variables.mp4

03:49

9. Correlation.mp4

04:56

7. Running Models

1. Introduction to Models.mp4

06:26

2. Linear Regression using JMP.mp4

02:16

3.1 vaccination-data.csv

3. Logistic Regression.mp4

02:09

4. Clustering.mp4

03:18

5.1 ongc.csv

5. Time Series.mp4

06:10

6. Text Explorer.mp4

06:18

8. Thank You

1. More Options in JMP Software.mp4

02:59

2. Thank You Video.mp4

00:56

Description

Unleashing the Power of Statistical Discovery and Visualization

What You'll 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 is this 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.

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.

What You Need to Know?

There are no specific prerequisites to learn JMP software, as it is designed to be user-friendly and accessible for people with varying levels of experience and technical expertise. However, having a basic understanding of statistical concepts and familiarity with data analysis techniques can be helpful in effectively using the software. Additionally, some knowledge of programming or scripting languages such as SAS or R can be advantageous, as JMP provides options for integration and automation with these languages.

More details

Description
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!
Who this course is 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.
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.

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Artificial Intelligence

Data Analysis

Swapnil Saurav

Instructor's Courses

Swapnil Saurav is an accomplished and versatile professional with a passion for understanding customer challenges and driving business growth in competitive market conditions, and a solid understanding of a diverse range of business-like CPG, Retail, Manufacturing, and Healthcare Industries, including process consulting, market analysis, product development, customer service, and project management. He has published books on Retail Management, Supply Chain Management, Python Programming, and Machine Learning topics.

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