Data Analysis

Data Analysis is a process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Coursera's data analysis catalogue teaches you to interpret and analyze data for actionable insights. You'll learn everything from basic statistical concepts, data visualization, data manipulation, to advanced analytical techniques such as predictive modelling and machine learning. This skill is crucial for roles such as data analysts, business analysts, data scientists and statisticians, among others. The knowledge you gain will enable you to make data-driven decisions in your professional and personal life.
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Find the best Data Analysis course for your goals

  • Status: Free Trial

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Machine Learning Methods, Inventory Management, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis

  • Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

  • Status: Free Trial

    Skills you'll gain: Case Studies, Digital Transformation, Advanced Analytics, Business Analytics, Business Analysis, Predictive Analytics, Data Analysis, Analytical Skills, Analysis, Value Propositions, Customer Analysis, Business Consulting, Business Transformation, Big Data

  • Status: Free Trial

    University of California, Davis

    Skills you'll gain: Social Network Analysis, Social Sciences, Network Analysis, Data Science, Machine Learning, Computational Thinking, Artificial Intelligence, Data Analysis, Simulations, Big Data, Scientific Methods

  • Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Graphing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Literacy, NumPy, Python Programming

  • Status: Preview

    Universidad Nacional Autónoma de México

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Image Analysis, Data Ethics, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Responsible AI, Text Mining, Environmental Monitoring, Climate Change Mitigation, Artificial Neural Networks, Computer Vision, Supervised Learning, Natural Language Processing

  • Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Probability & Statistics, Statistics, Data Science

  • Skills you'll gain: Spreadsheet Software, Business Analysis, Data Manipulation, Excel Formulas, Data Analysis, Text Mining, Statistical Reporting, Data Presentation, Data Processing

  • Status: Preview

    Skills you'll gain: Text Mining, Natural Language Processing, Data Cleansing, Data Analysis, Java, Unsupervised Learning, Machine Learning Methods, Supervised Learning

  • Status: Free Trial

    Skills you'll gain: Data Ethics, Applied Machine Learning, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Responsible AI, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Goal Setting, Productivity

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