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Welcome to Machine Learning for Social Scientists: Learn ML Using R, a practical course designed to introduce machine learning concepts using the R programming language. This cours...
Machine Learning for Social Scientists: Learn ML Using R
lifetime access
₹850.00
Lifetime access
Course overview
Welcome to Machine Learning for Social Scientists: Learn ML Using R, a practical course designed to introduce machine learning concepts using the R programming language. This course is specifically tailored for students, researchers, and professionals in the social sciences who want to leverage machine learning techniques for data analysis, prediction, and research.
Starting with the fundamentals, you will learn how machine learning works, prepare data for analysis, build predictive models, evaluate model performance, and interpret results using R. Through hands-on examples and real-world datasets, you will gain practical experience with commonly used supervised and unsupervised machine learning algorithms while understanding their applications in social science research.
Whether you are conducting academic research, analyzing survey data, or exploring data-driven insights, this course will provide you with the skills needed to confidently apply machine learning techniques in your own projects.
Requirements
Familiarity with basic research process will be helpful but not essential.
A keen desire to learn Machine Learning and R
A laptop with internet connection
Familiarity with basic computer and operating system
Learning Outcomes
Understand the fundamentals of machine learning and its applications in social science research.
Prepare, analyze, and visualize data using R for machine learning.
Build and evaluate supervised and unsupervised machine learning models.
Interpret machine learning results for research and evidence-based decision-making.
Apply machine learning techniques to real-world social science datasets.
Before you start
None are mandatory — this course starts from scratch.
Bundle this course with its 2 remaining prerequisites and save 30%.
What you walk away with
Every course adds to three macro skills. Log in to swap platform averages for your own numbers.
Curriculum
Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.
Instructor
An experienced and passionate instructor, [Name] is dedicated to fostering a dynamic and engaging learning environment where students feel motivated to grow both academically and personally. With a strong foundation in their subject area, they bring clarity, structure, and enthusiasm to every lesson, ensuring complex concepts are made accessible and relevant. Their teaching approach blends theoretical knowledge with practical application, encouraging students to think critically and develop problem-solving skills. Known for their supportive and approachable demeanor, [Name] builds meaningful connections with students, understanding that each learner has unique strengths and challenges. They are committed to creating an inclusive classroom atmosphere where curiosity is encouraged, questions are welcomed, and every student feels valued. By adapting teaching methods to suit diverse learning styles, they help students gain confidence and achieve their full potential. Beyond the classroom, [Name] is deeply invested in continuous learning and professional development, staying updated with the latest educational practices and advancements in their field. They often contribute to curriculum development, mentorship programs, and extracurricular activities, reinforcing their role as not just an instructor, but a mentor and guide. Their ultimate goal is to inspire lifelong learning and empower students to succeed in an ever-evolving world.
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Questions
This course is designed for learners who want a practical, guided path through Data Analysis and Research.
Understand the fundamentals of machine learning and its applications in social science research. Prepare, analyze, and visualize data using R for machine learning. Build and evaluate supervised and unsupervised machine learning models.
Your course access remains available for the lifetime of your account, including future updates to the lessons.
Yes. Eligible purchases include the platform money-back guarantee described at checkout.
Lifetime access, mentor Q&A on every lesson, and a certificate you can share the moment you finish. If it is not right for you, the first 30 days are on us.
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This course includes
4h 35m
Video content
0
Downloadable resources
0
Assessments
Included
Certificate of completion
30-Day Money Back Guarantee
No questions asked
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Build your foundation in one go. The linked courses are added together and the bundle saving is applied automatically.
Main course
Machine Learning for Social Scientists: Learn ML Using R
4 hr 36 min
₹850.00
Prerequisite
Statistics Foundation Course
10 hr 50 min
₹850.00
Prerequisite
Qualitative Analysis Using Nvivo: Foundation Course
8 hr 46 min
₹850.00
Bundle price
₹1,785.00
₹2,550.00
Save ₹765.00
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