
Harvard University
Introduction to Data Science with Python
4.3174 ratingsLearn the concepts and techniques that make up the foundation of data science and machine learning.
Transform disconnected data silos into unified insights with enterprise-grade connector configuration skills. This Short Course was created to help data management and engineering professionals accomplish seamless integration of diverse data sources into centralized staging environments.
By completing this course, you'll be able to configure Airbyte connectors for relational databases with proper authentication, set up real-time streaming connections to Kafka topics, and establish secure REST API endpoints - skills you can apply immediately to modernize your organization's data infrastructure.
By the end of this course, you will be able to:
Configure connector settings for relational databases with connection strings and authentication
Set up streaming platform connections with proper topic subscriptions and offset management
Establish REST API connections with authentication methods and endpoint configuration
This course is unique because it provides hands-on experience with Airbyte, the fastest-growing open-source data integration platform, using real-world scenarios that mirror actual enterprise data challenges.
To be successful in this project, you should have a background in basic database concepts and familiarity with data integration fundamentals.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.
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Coursera is in Tier 4: commercial training companies and platform-made courses of our institution ranking (56/100). Made by the platform, often short guided projects.

Harvard University
Learn the concepts and techniques that make up the foundation of data science and machine learning.

Massachusetts Institute of Technology
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
Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Harvard University
Learn to use machine learning in Python in this introductory course on artificial intelligence.

Massachusetts Institute of Technology
Speakers: Gilbert Strang, Alan Edelman, Pavel Grinfeld, Michel Goemans Revered mathematics professor Gilbert Strang capped a 61-year career as a faculty member at MIT by delivering his final 18.06 Linear Algebra lecture before retiring at the age of 88. In addition to a brief review for the course…

Massachusetts Institute of Technology
The purpose of the class is to expose undergraduate and graduate students to the mathematical concepts and techniques used in the financial industry. Mathematics lectures are mixed with lectures illustrating the corresponding application in the financial industry. MIT mathematicians teach the mathe…