newking9088 / MITx_14.310x_Data_Analysis_for_Social_Scientist_Fall_2020
This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. We will start with essential notions of probability and statistics. We will proceed to cover techniques in modern data analysis: regression and econometrics, design of experiments, randomized control trials (and A/B testing)…
☆11Updated 4 years ago
Alternatives and similar repositories for MITx_14.310x_Data_Analysis_for_Social_Scientist_Fall_2020:
Users that are interested in MITx_14.310x_Data_Analysis_for_Social_Scientist_Fall_2020 are comparing it to the libraries listed below
- Data Analysis: Statistical Modeling and Computation in Applications☆55Updated 3 years ago
- EdX course from MIT on machine learning 6.86x☆11Updated 4 years ago
- R scripts written for MIT's Data Analysis for Social Scientists course offered on edX.☆21Updated 5 years ago
- Fundamentals of Statistics☆41Updated 3 years ago
- Project code for MIT MOOC 6.86x on edX☆16Updated 5 years ago
- Codes for case studies for the Bekes-Kezdi Data Analysis textbook☆195Updated last week
- MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning☆42Updated 3 years ago
- This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam☆39Updated 4 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆92Updated 2 years ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 5 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated 3 weeks ago
- CheatSheet for 6.431x☆16Updated 4 years ago
- CheatSheet for 14.310x☆11Updated 5 years ago
- CheatSheet for 6.86x☆22Updated 4 years ago
- ☆114Updated 2 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆313Updated last year
- ☆10Updated 4 years ago
- This is a coding course in Python to accompany the Data Analysis material☆107Updated 2 years ago
- A set of notebooks the provide an introduction to Python.☆99Updated last year
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆43Updated 4 years ago
- Tutorials and resources for applications state-of-the-art NLP in personality assessment.☆11Updated 2 years ago
- Portfolio of course work for my Master's in Data Science.☆13Updated 4 years ago
- Handbook of Regression Modeling in People Analytics☆158Updated 2 months ago
- MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning☆16Updated 5 years ago
- An in-depth exploration to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-o…☆9Updated 5 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆23Updated 3 years ago
- Probability - The Science of Uncertainty and Data☆33Updated 6 years ago
- ☆48Updated 3 years ago
- Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science☆34Updated 5 years ago
- Reproducible Data Science with Python☆31Updated 2 years ago