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: Preview

    Skills you'll gain: Microsoft Copilot, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, People Analytics, Data Manipulation, Data Analysis, Microsoft 365, Human Resources Information System (HRIS), ChatGPT, Data Visualization, Artificial Intelligence, Generative AI

  • Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Infectious Diseases, Python Programming

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Presentation, Data Management, Management Training And Development, Team Management, Workflow Management, Analytical Skills, Team Leadership, Statistical Inference, Statistical Modeling, Statistical Methods, Communication

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, ChatGPT, Data Validation, LLM Application, Data Analysis, OpenAI, Data-Driven Decision-Making, Analytical Skills, Natural Language Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Data Analysis Expressions (DAX), Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Data Processing, Data Presentation, Data Transformation, Data Analysis, Data Visualization, Barcoding, Microsoft PowerPoint, Data Import/Export

  • Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming

  • Status: Preview

    Skills you'll gain: Analytical Skills, Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Generative AI, ChatGPT, Version Control, Data Visualization Software, Statistical Analysis, Data Collection, Data Management, GitHub, Technical Support, Git (Version Control System)

  • Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Data Cleansing, AI Product Strategy, Data Analysis, Responsible AI, Data Processing, Power BI, Exploratory Data Analysis, Anomaly Detection

  • Status: Free Trial

    Skills you'll gain: Generative AI, Responsible AI, Financial Data, Complex Problem Solving, AI Product Strategy, Microsoft Copilot, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Modeling, Financial Analysis, Ethical Standards And Conduct, Data Visualization Software

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Business Analytics, Regression Analysis, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Statistics, Strategic Decision-Making, Business Analysis, Statistical Analysis, Data Science, Probability & Statistics

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning

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