Statistical Software

JMP

• Quickly produce your data visualizations and analyzes with JMP's smart, easy-to-use interface - and no programming required!

• Immediately explore the functions of JMP, using more than 600 data sets.

• Import your own data in dozens of formats, including Excel, SPSS, CSV, and PDF.

• Get instant access to step-by-step video guides.

• Join hundreds of thousands of scientists and engineers who entrust their data analysis to JMP.

EXCEL

• Integrated dynamic tables of the tool. Also, Excel is quite easy to use. You will not need to enroll in expensive data analysis courses. But discovering pivot tables can be challenging.

• Feature-rich data analysis tool that enables analysts to get the most out of their data. With this software, you can sort or filter your data in any way you want. For example, you can sort the data from highest to lowest value. You can also filter your data based on various criteria, among others.

• Pivot tables are probably the most powerful feature in Excel. If you have a huge and detailed data set and need to extract its meaning, check out the pivot tables. With all these amazing features, it's no wonder that Excel has mesmerized so many data analysts.

PYTHON

• Python is much more than just a popular programming language. It stands as an excellent data analysis tool. It helps you perform many advanced procedures and supports the development of sophisticated models.

• You can also use Python to import and export data sets. Also, you can use it to handle simple linear regression, multiple linear regression, and polynomial regression.

• Cleaning and preparing data involves several processes, including formatting and grouping of data. It also includes data normalization, identification and treatment of missing values. Data set grouping, correlation, and descriptive statistics are other critical functions that you can perform with Python.