Data Synthesis

Data Synthesis is a process of combining data from various sources to extract useful insights and make data-driven decisions. Coursera's data synthesis catalogue teaches you how to compile, merge, and interpret data, regardless of its format or source. You'll learn how to manipulate large data sets, identify trends, build data visualization, and use statistical methods to analyze and interpret data. The skillset will equip you to use data synthesis techniques in fields such as data science, business intelligence, market research, and more. Familiarize yourself with tools like Python, R, SQL and Excel for efficient data handling, modeling, and interpretation.
14credentials
28courses

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "data synthesis"

  • Status: New
    Status: Free Trial

    Scrimba

    Skills you'll gain: SQL, Data Manipulation, Query Languages, Database Management, Relational Databases, Stored Procedure, Data Synthesis, IT Automation, Scripting, Database Management Systems, Data Access

  • Status: Free Trial

    Skills you'll gain: Ideation, UI/UX Research, Brainstorming, Innovation, Design Thinking, User Research, Generative AI, Competitive Analysis, Human Centered Design, Data Ethics, Persona (User Experience), Artificial Intelligence, Problem Solving, Data Collection, Data Synthesis, Critical Thinking

  • Status: New
    Status: Preview

    Skills you'll gain: Prompt Patterns, Prompt Engineering Tools, LangChain, Generative AI, LLM Application, Large Language Modeling, OpenAI, Data Synthesis

  • Status: Preview

    Universidade Estadual de Campinas

    Skills you'll gain: Scientific Methods, Research, Research Design, Peer Review, Data Synthesis, Data Collection, Data Quality, Research Methodologies, Report Writing, Qualitative Research, Statistical Analysis

  • Status: Free Trial

    Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Verification And Validation, Pharmacology, Environmental Science, Research, Safety Assurance, Scientific Methods, Biostatistics, Bioinformatics, Research Methodologies, Environmental Regulations, Research Design, Risk Analysis, Data Synthesis

  • Status: Free Trial

    Skills you'll gain: Splunk, Data Transformation, Data Manipulation, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Data Synthesis, Time Series Analysis and Forecasting, Real Time Data, Data Analysis, Big Data, Data Science, Business Analytics, Data Visualization

  • Skills you'll gain: Grafana, Apache Kafka, Real Time Data, Data Pipelines, Dashboard, Data Synthesis, Interactive Data Visualization, Data Visualization Software, Data Analysis

  • Status: Free Trial

    University of California, Davis

    Skills you'll gain: Data Synthesis, Data Storytelling, Presentations, Marketing, Data Visualization Software, Market Research, Social Media Marketing, Microsoft PowerPoint, Advertising, Customer Insights, Data Analysis, Verbal Communication Skills, Target Audience, Strategic Marketing, Market Analysis, Digital Marketing

  • Status: Free Trial

    Skills you'll gain: Data Dictionary, Health Informatics, Extract, Transform, Load, Data Synthesis, Fraud detection, Analytics, Data Integration, Data Analysis, Medical Coding, Data Transformation, Quality Assessment, Risk Analysis, Data Quality, Predictive Modeling

  • Status: Free Trial

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Computer Vision, Deep Learning, Unsupervised Learning, Information Privacy, Data Synthesis

  • Skills you'll gain: Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Processing, Data Visualization, Data Synthesis, Python Programming

What brings you to Coursera today?

Leading partners

  • Microsoft
  • IBM
  • University of California, Davis
  • Vanderbilt University
  • DeepLearning.AI
  • Fractal Analytics
  • Icahn School of Medicine at Mount Sinai
  • Johns Hopkins University