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    • Analytics

    Analytics Courses Online

    Understand analytics principles for data-driven decision-making. Learn to use tools like Excel, SQL, and R for data analysis.

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    Explore the Analytics Course Catalog

    • U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Data Science, Research Methodologies, Machine Learning, Data Collection, Computational Thinking, Economics, Policy, and Social Studies, Graph Theory, Agentic systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with R in Business Analytics

      Skills you'll gain: Regression Analysis, R Programming, Exploratory Data Analysis, Business Analytics, Statistical Analysis, Predictive Analytics, Unsupervised Learning, Machine Learning, Data Analysis, Classification And Regression Tree (CART), Data Mining, Supervised Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Data Visualization in Excel

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Visualization Software, Interactive Data Visualization, Spreadsheet Software, Dashboard, Microsoft Excel, Excel Macros, Infographics, Data Analysis, Data Manipulation, Forecasting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery

      Skills you'll gain: Data Transformation, Big Data, Data Cleansing, Cloud Infrastructure, Google Cloud Platform, Data Analysis, Data Warehousing, SQL, Data Pipelines, Data Visualization Software, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Relational Databases (RDBMS)

      Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      690 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad

      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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Building Data Lakes on AWS

      Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      291 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Preparation with Alteryx: Automating Analytics

      Skills you'll gain: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Processing, Data Visualization, Automation, Exploratory Data Analysis, Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Processing IoT Hub data streams with Azure Stream Analytics

      Skills you'll gain: Microsoft Azure, Internet Of Things, Real Time Data, Data Storage, Query Languages, Peripheral Devices

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    Analytics learners also search

    Business Analytics
    Digital Analytics
    Web Analytics
    Financial Analytics
    Social Media Analytics
    Business Intelligence
    Accounting Analytics
    Business Intelligence Projects
    1…414243…213

    In summary, here are 10 of our most popular analytics courses

    • Computational Social Science: University of California, Davis
    • Hadoop Platform and Application Framework: University of California San Diego
    • Machine Learning Algorithms with R in Business Analytics: University of Illinois Urbana-Champaign
    • Data Visualization in Excel: Macquarie University
    • Exploring ​and ​Preparing ​your ​Data with BigQuery: Google Cloud
    • Introduction to Relational Databases (RDBMS): IBM
    • Estadística y probabilidad: Universidad Nacional Autónoma de México
    • Building Data Lakes on AWS: Amazon Web Services
    • Statistical Inference: Johns Hopkins University
    • Data Preparation with Alteryx: Automating Analytics: Coursera Project Network

    Skills you can learn in Business Essentials

    Analytics (37)
    Presentation (33)
    Modeling (29)
    Business Analytics (27)
    Language (26)
    Microsoft Excel (26)
    Writing (26)
    Speech (18)
    Plan (17)
    Business Communication (16)
    Decision-making (16)
    Leadership (15)

    Frequently Asked Questions about Analytics

    Analytics is the system of applying certain methods and techniques to understand the performance of data, generally in an organization or industry. The application of analytics can be used to uncover and interpret relevant patterns of data, which can be later used to make better decisions. Analytics relies on good data as part of its usefulness, as well as the aspects of statistics, computer programming, and operations research to quantify performance.

    Analytics exists in business when companies use statistics and software processes in assessing how a particular product, service, or project measures up in scope. Businesses perform analytics to pinpoint strengths, identify challenges or weaknesses that may exist, and pull out key data points to help make decisions regarding future growth for the organization.‎

    Learning analytics is a key skill that helps you solve problems to existing challenges. When you use analytics tools to research data patterns, you use methods of analyzing performance characteristics that are essential to a business organization. This is important in today's world of big data. Understanding analytics can make you a valuable asset when assessing areas rich with recorded information, performance indicators, and target goals.‎

    Analytics is found in a wide range of careers, including business analyst, budget analyst, financial controller, data scientist, and operations researcher. Individuals who move into these and other careers in data analytics often work with raw data and algorithms through mechanical processes to make assumptions and theories. Essentially, with knowledge of analytics, you can move into a job that requires a familiarity with numeric relationships, data structures, and trends and metrics relevant to an organization.‎

    When you take online courses in analytics, you can gain a new understanding of key concepts like data analysis and visualization, mathematical optimization, regression analysis, predictive modeling, and other areas focused on business analytics.

    Taking online courses about analytics can help you achieve basic data literacy to help you make more informed decisions in any area you work in, like finance, operations, or marketing. As you branch out, you may advance your analytics understanding to include how to extract and manipulate data points, how to use different statistical analysis methods to break down the data, and how to eventually interpret and present your findings.‎

    Online Analytics courses offer a convenient and flexible way to enhance your existing knowledge or learn new Analytics skills. With a wide range of Analytics classes, you can conveniently learn at your own pace to advance your Analytics career.‎

    When looking to enhance your workforce's skills in Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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