Description
Master Data Analysis: Foundations, R, SPSS, Jamovi, Sheets. This non-technical, foundational course provides a basic introduction to the core concepts, tools, and practical applications of data science without requiring a programming background. Participants will learn the essential fundamentals to understand how to use tools like Google Sheets, Jamovi, SPSS, and R to work with data. This course is designed for those who are considering a career change into data, want to improve their analytical skills, or want to better understand the role of data in today’s world. Topics include an introduction to data science and its relevance to various industries, data collection methods, the conceptual foundations of coding in languages like R and Python, familiarity with common tools, mathematical concepts applied to data analysis, and statistical principles such as data mining and estimation. Practical applications of the tools are also taught, including using Google Sheets to import, organize, and visualize data, familiarizing yourself with R capabilities for efficient analysis, utilizing Jamovi for data manipulation and analysis, and a brief overview of SPSS for data exploration. In the end, participants develop the ability to creatively approach data problems and apply their knowledge to real-world challenges, preparing for advanced data science courses.
What you will learn
- Introduction to Data Science:
- Gain a clear, non-technical introduction to data science and understand its true importance in various industries.
- Understand how data science combines statistics, programming, and domain expertise to produce actionable insights.
- Working with data and tools:
- Discover how to source data from traditional and specialized methods specific to data science workflows.
- Familiarity with tools used by data scientists, including Google Sheets, jamovi, R, and SPSS.
- Analytical and statistical concepts:
- Discover essential mathematical concepts that support data analysis, with intuitive explanations and real-world examples.
- Understand key statistical principles such as Data Exploration, Estimation, and Feature Selection – no prior experience required.
- Programming and thinking skills:
- Build a conceptual foundation in programming for data science, understanding how languages like R and Python are used alongside visual tools.
- Develop the ability to creatively approach data issues, applying fundamental knowledge to practical challenges.
- Preparation for advanced courses:
- Prepare for more advanced courses in applied data science by building a strong, well-rounded foundation.
This course is suitable for people who:
- Beginners curious about data science who want a non-technical and accessible introduction to the field.
- Students or professionals looking to explore data science tools without a heavy coding approach.
- Researchers and social scientists who need user-friendly tools like jamovi, SPSS, or Google Sheets for data analysis.
- Teachers and educators who want to integrate practical data tools and concepts into their curriculum.
- Business professionals and decision makers interested in understanding data-driven insights and methods.
- Aspiring data analysts who prefer to start with visual tools before moving on to coding environments like R.
- Anyone who needs a fundamental understanding of statistics, data collection, and analysis techniques.
Course details
- Publisher: Udemy
- Instructor: Science Academy
- Training level: Beginner to advanced
- Training duration: 9 hours and 53 minutes
- Number of lessons: 21
Course syllabus as of 2025/10
Prerequisites for the Master Data Analysis: Foundations R SPSS Jamovi Sheets course
- No prior experience in data science or statistics is required – this course is designed for absolute beginners
- Basic computer literacy – comfort with using a web browser, navigating files, and installing software
- Access to a computer with internet connection to download and use tools like Google Sheets, Jamovi, R, or SPSS (free options and installation guidance will be provided)
- Curiosity and willingness to learn – especially when working through real-world data scenarios
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
4.3 GB
