Complete Introduction in Statistics in R, SPSS, JASP
What you'll learn
- Learn statistics through an award-winning didactical concept
- Get to know statistics in an applied way: We will not cover stuff you never need. We focus 100% on important quantitative research skills.
- Learn about statistical concepts
- Apply statistical procedures in different software packages: R, IBM SPSS Statistics, JASP
Requirements
- No statistical knowledge required
- It is helpful to have an idea about a own application of statistics (e.g., a thesis).
Description
Introducing "Complete Introduction in Statistics in R, SPSS, JASP," a comprehensive online course designed to demystify the realm of applied statistics. This meticulously crafted course, in collaboration with the International School of Management, offers a cohesive resource for everyone struggling to comprehend or apply statistics.
We understand your apprehension. Traditional statistics textbooks often appear intimidating, demanding an advanced mathematical prowess even before you delve into the subject. But here's the truth - statistics, when explained properly, doesn't have to be overwhelming.
That's where our course steps in. Backed by my extensive experience of over a decade in both practicing and teaching statistics - an endeavor recognized with multiple research awards and high-impact publications - this course is tailored to ensure an enjoyable and engaging learning journey. I've also been honored with six teaching awards, underscoring my commitment to transforming complex concepts into digestible, relatable content.
This course serves as your ultimate guide to venturing into quantitative analysis. It's perfectly suited for beginners taking their initial strides in the field, making it a valuable resource for Bachelor's and Master's students. Doctoral researchers aiming to supplement their qualitative work with quantitative analysis may also find this course beneficial.
Every unit of this course is thoughtfully designed to facilitate a comprehensive learning experience. Each segment includes in-depth video lessons, assignments, and exercises to reinforce the concepts taught. Beyond these, we provide references for further reading, helping you explore the subject more extensively at your own pace.
One of the unique features of our course is the practical hands-on approach. We provide original datasets and guide you through scripts, enabling you to actively apply the statistical techniques learned. In essence, this course is not just about teaching statistics; it's about making you comfortable with using statistical tools and analyses in R, SPSS, and JASP, three of the most widely-used statistical software.
The journey through this course promises a seamless blend of theory and practice, equipping you with the necessary skills to leverage statistical analyses in your research endeavors. Whether you're decoding research data, conducting your own surveys, or simply striving to understand the numbers that populate our world, this course paves the way.
Your satisfaction is our priority. If for any reason, the course doesn't meet your expectations, we offer a no-questions-asked 30-day refund policy.
So, are you ready to unravel the intriguing world of statistics? Join us on this enriching journey to simplify statistics and harness its potential in your professional pursuits.
Here's to a rewarding learning experience!
Who this course is for:
- Persons that want to take up a thesis project
- Individuals generally interested in statistics
- People interested in learning about different software applications for statistics
Instructor
- 4.3 Instructor Rating
- 1,251 Reviews
- 7,547 Students
- 18 Courses
[English version below]
Hallo, ich bin Dominik. Ich habe einen Doktor der Sozialwissenschaften und andere akademische Abschlüsse in Wirtschaft, Informatik und Bildungswissenschaft. Ich forsche in sehr unterschiedlichen Feldern, die Gemeinsamkeit ist aber immer der Fokus auf wissenschaftliche Methoden. Ich bin Experte für Themen der Datensammlung, Datenauswertung und des wissenschaftlichen Schreibens und freue mich, mein Wissen mit dir zu teilen!
----------- English -----------
Hi there, my name is Dominik E. Froehlich, PhD and I am an award winning researcher and Higher Ed teacher. My work focuses on research methodology; especially social network analysis and mixed methods research.
Concerning social network analysis: I am an active researcher of social networks for quite a few years now. I mostly study networks in the domain of learning and instruction, but occasionally I ventured to other fields, such as organization and management. I'm well published in this field in terms of academic articles, I'm editing a book about social network analysis with a well-known publisher, and my work on social networks has won international academic awards.