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

  • Skills you'll gain: Data Storytelling, Infographics, Interactive Data Visualization, Data Visualization, Storytelling, Storyboarding, Data Analysis, Graphic and Visual Design

  • Status: New

    Skills you'll gain: Microsoft SQL Servers, Relational Databases, Database Architecture and Administration, Data Analysis, Business Analytics

  • Status: Free Trial

    Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Analytics, Data Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Internet Of Things, Deep Learning

  • Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Technical Documentation, Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Git (Version Control System), Integrated Development Environments

  • Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

  • Status: Free

    Skills you'll gain: SPSS, Statistical Analysis, Statistical Software, Statistical Modeling, Social Sciences, Correlation Analysis, Regression Analysis, Advanced Analytics, Mathematical Modeling, Data Analysis, Data Modeling

  • Skills you'll gain: Kubernetes, Application Performance Management, YAML, Google Cloud Platform, Real Time Data, Data Analysis

  • Skills you'll gain: SQL, Data Validation, Data Access, Query Languages, Data Mining, Data Analysis, Google Analytics

  • Status: Free Trial

    Skills you'll gain: Experimentation, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Variance Analysis, Data Analysis

  • Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

  • Status: Free

    Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis