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Indian Institute of Management Bangalore
Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science.

Learn Ventures
A first introduction to data science and machine learning. Use Python to acquire, clean, and analyze data using powerful machine leanring models and popular data science libraries.

Massachusetts Institute of Technology
Data and learning should be at the front and center of healthcare delivery. In this course, we bring together computer scientists, health providers and social scientists collaborating to improve population health by analyzing and mining data routinely collected in the process of patient care.

Massachusetts Institute of Technology
Solidify and demonstrate your knowledge and abilities in probability, data analysis, statistics, and machine learning in this culminating assessment. -- Final Requirement of the MITx MicroMasters Program in Statistics and Data Science.

IBM
Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.

IBM
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.

IBM
Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps

IBM
Learn about the world of data science first-hand from real data scientists.

IBM
Learn about the most popular data science tools, including how to use them and what their features are.

IBM
Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.

Harvard University
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

Universitat Politècnica de València
El arte de descubrir las percepciones y tendencias en los datos ha existido durante siglos.

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

Harvard University
The structure, annotation, normalization, and interpretation of genome scale assays.

Harvard University
Learn to process and convert raw data into formats needed for analysis.

Harvard University
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Harvard University
Learn inference and modeling, two of the most widely used statistical tools in data analysis.

Harvard University
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Harvard University
Show what you've learned from the Professional Certificate Program in Data Science.

Google Cloud
In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model.

Pontificia Universidad Javeriana
Conozca conceptos, principios, roles, tendencias y tensiones sobre privacidad y protección de datos personales que surgen al procesar datos personales en la era digital.