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IBM
Aprende sobre la metodología, las prácticas y los requisitos detrás de la ciencia de datos para comprender mejor cómo resolver problemas con datos y garantizar que los datos sean relevantes y manipulados adecuadamente para abordar una variedad de proyectos y escenarios organizacionales del mundo real.

IBM
Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.

Harvard University
A focus on several techniques that are widely used in the analysis of high-dimensional data.

IBM
Showcase your data analysis skills to prospective employers by carrying out common tasks performed by data analysts on a data set simulating a real-life business scenario and creating a comprehensive data analysis report.

IBM
R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data.

Harvard University
Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Harvard University
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

Harvard University
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

Google Cloud
Learn how to solve business problems using AI/ML models for generative tasks in BigQuery. Gain hands-on experience in coding solutions using SQL queries and Python notebooks.

Google Cloud
Learn how to build Retrieval Augmented Generation (RAG) pipelines in BigQuery to reduce AI hallucinations. Create embeddings, search vector spaces, and generate more accurate answers using Gemini and embedding models.

Google Cloud
Learn about BigQuery ML for inference, why data analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.

Google Cloud
Explore how to leverage Gemini in BigQuery to enhance your data-to-AI workflow, through conceptual explanations, a practical use case, and hands-on labs.

Delft University of Technology
A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their trustworthiness and increase the adoption of AI in general.

Delft University of Technology
Aprende cómo transformar datos sin procesar, con el uso de tableros en Excel, para apoyar las decisiones de negocio.

BoxPlay
Gain essential data literacy skills and drive your decision making using data-led analysis.

American Psychological Association
How do statistics apply to your life and how can we use statistics to draw conclusions about the world? This course will provide you with an integrated and engaging online experience to explore statistics in the behavioral sciences.

Amazon Web Services
Learn how to go from raw data to meaningful insights using AWS with this one-week course.

University of Maryland Baltimore County
Explore the art and science of Data Visualization with our comprehensive course, designed to transform complex data into impactful visual stories. This course is ideal for anyone looking to enhance their data presentation skills using Tableau, focusing on practical applications like pandemic trend tracking, climate change mapping, and supply chain optimization. Engage with real-world examples, hands-on projects, and interactive content to master data visualization and make informed decisions ...

University of Maryland Baltimore County
Learn how to prepare and transform data for analysis and machine learning. The course includes techniques for data cleaning, normalization, domain reduction, and the application of various dimensionality reduction methods such as PCA and t-SNE to enhance data usability and visualization.

University of Cambridge
Explore the transformative role of big data in healthcare with our comprehensive course. Gain expertise in advanced data technologies, focusing on cutting-edge tools and platforms for health data management. Learn essential data mining and analytics skills to extract valuable insights from extensive datasets. Use the art of data visualisation effectively to communicate complex health information effectively through graphical representations.

University of Cambridge
Learn to navigate health data challenges: Explore project stages in trusted environments (TREs), establish effective collaborations, and apply best practices. Gain hands-on experience with open-source health data and create reproducible exploratory data analysis reports using Rmarkdown.

University of Cambridge
Learn to manage health data, develop data science projects, and collaborate effectively in healthcare. This course covers data-driven decision-making, healthcare systems, project management, and data visualization to ensure impactful healthcare outcomes.

University of Cambridge
The final course in the MicroMasters of Healthcare Data Science where you are required to work on your own independent project which is an essential element for your entry to the MSt pathway (read more).

Adelaide University
This course is aimed at managers and leaders who want to maximise the data analytics capabilities of their team to support data driven decision making. We will help you build your confidence with data analysis terminology and practice, so that you can maximise the impacts of your data analyst team. This course is focused on the big question: "How can you transform your business through data driven decision making by collaborating with a data analytics team?"