Harvard University · edX
Introduction to Data Science with Python
4.3174 ratingsLearn the concepts and techniques that make up the foundation of data science and machine learning.

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.
This week we will have an overview of Python and take the first steps towards programming.
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
In this module, we have a long three-part lecture on Functions as well as a 10-minute look at Modules and Packages.
In this module, we have another long three-part lecture, this time about Communicating with the Outside, as well as a final lecture about Biopython.
Some points apply to every course of this kind; see how we rank.
Johns Hopkins University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (93/100).
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Massachusetts Institute of Technology · YouTube
Instructors: Esther Duflo and Sara Ellison View the complete course: https://ocw.mit.edu/courses/14-310x-data-analysis-for-social-scientists-spring-2023 This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. We will start with esse…
Harvard University · edX
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Massachusetts Institute of Technology · YouTube
View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Students of this course learn how to use data and analytics by examining real world examples and utilizing methods including linear and logistic regression, trees, text analytics, clustering, visualization, and o…
Harvard University · edX
Learn basic data visualization principles and how to apply them using ggplot2.
Harvard University · edX
Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.