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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

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data and ML on Google Cloud 日本語版

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, Data Warehousing, Unstructured Data, Real Time Data, Data Management, Data Infrastructure, Cloud Engineering, Cloud Storage, Big Data, Cloud Infrastructure, MLOps (Machine Learning Operations), Dashboard, Extract, Transform, Load, Data Architecture, Data Processing, Applied Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      289 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Cluster Analysis in Data Mining

      Skills you'll gain: Unsupervised Learning, Data Mining, Data Validation, Applied Machine Learning, Machine Learning Algorithms, Data Analysis, Statistical Methods, Exploratory Data Analysis, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      408 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Marketing digital e e-commerce do Google

      Skills you'll gain: Data Storytelling, Email Marketing, Google Ads, Digital Advertising, Social Media Marketing, Search Engine Optimization, Google Analytics, Customer Retention, Digital Marketing, Marketing Budgets, Loyalty Programs, Order Fulfillment, Search Engine Marketing, Web Analytics, Marketing Analytics, Media Planning, Content Creation, A/B Testing, Online Advertising, Copywriting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      311 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Developing Innovative Ideas for Product Leaders

      Skills you'll gain: New Product Development, Innovation, Market Opportunities, Ideation, Entrepreneurship, Product Management, Corporate Strategy, Customer Analysis, Competitive Analysis, Market Analysis, Target Market, Business, Market Dynamics, Value Propositions, Decision Making

      4.4
      Rating, 4.4 out of 5 stars
      ·
      216 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Y

      Yonsei University

      Intro to International Marketing

      Skills you'll gain: Global Marketing, Marketing, Brand Management, Marketing Strategies, Innovation, Consumer Behaviour, Corporate Strategy, Market Analysis, Product Development, Market Intelligence, Competitive Analysis, Business Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Developing a Marketing Mix for Growth

      Skills you'll gain: Product Strategy, Integrated Marketing Communications, Strategic Marketing, Advertising, Marketing, Marketing Channel, Product Management, Product Lifecycle Management, Marketing Communications, Marketing Effectiveness, Marketing Strategies, Value Propositions, Brand Strategy, Market Analysis, Consumer Behaviour

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      726 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Building Resilient Streaming Analytics Systems on GCP en Español

      Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Google Cloud Platform, Big Data, Analytics, Data Processing, Serverless Computing, Query Languages, Scalability, Cloud Storage, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Linear Regression in R for Public Health

      Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Applying Machine Learning to your Data with Google Cloud

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Supervised Learning, Predictive Modeling, Deep Learning, Natural Language Processing, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The R Programming Environment

      Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Debugging, Application Programming Interface (API)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Customer Understanding and Digital Marketing Channels

      Skills you'll gain: Customer Insights, Digital Marketing, Customer Analysis, Marketing Strategies, Customer experience strategy (CX), Marketing Planning, Content Marketing, Social Media Marketing, Marketing Channel, Target Audience, Persona Development, Marketing Analytics, Brand Marketing, Goal Setting, E-Commerce

      4.7
      Rating, 4.7 out of 5 stars
      ·
      189 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Introduction to Digital health

      Skills you'll gain: Health Technology, Telehealth, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, Interoperability, Public Health, Epidemiology, Big Data, Digital Transformation, Health Information Management, Machine Learning, Artificial Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      231 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…575859…220

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

    • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
    • Cluster Analysis in Data Mining: University of Illinois Urbana-Champaign
    • Marketing digital e e-commerce do Google: Google
    • Developing Innovative Ideas for Product Leaders: University of Maryland, College Park
    • Intro to International Marketing: Yonsei University
    • Developing a Marketing Mix for Growth: University of Illinois Urbana-Champaign
    • Building Resilient Streaming Analytics Systems on GCP en Español: Google Cloud
    • Linear Regression in R for Public Health : Imperial College London
    • Applying Machine Learning to your Data with Google Cloud: Google Cloud
    • The R Programming Environment: Johns Hopkins University

    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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