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    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
      S

      SAS

      Data Analysis and Reporting in SAS Visual Analytics

      Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Visualization Software, Data Presentation, Business Reporting, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      357 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Analytics en las organizaciones

      Skills you'll gain: Analytics, Business Analytics, Data Governance, Business Intelligence, Data-Driven Decision-Making, Data Analysis, Operational Analysis, Predictive Analytics, Market Intelligence, Organizational Strategy, Competitive Analysis, Organizational Structure

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Generative AI, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Machine Learning Methods, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Analysts

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Large Language Modeling, Data Ethics, Artificial Intelligence, Program Development, Data Visualization Software, SQL, Python Programming, Query Languages, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      M

      Maven Analytics

      Complete Visual Guide to Machine Learning

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Quality Assurance, Random Forest Algorithm

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tally Education and Distribution Services Private Limited

      Payroll & HR Management

      Skills you'll gain: Payroll, Payroll Systems, Payroll Administration, Payroll Processing, Payroll Reporting, Income Tax, Human Resources Software, Compensation Management, Tax Compliance, Tax Laws

      4.3
      Rating, 4.3 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Data Storytelling, Program Development, Data Modeling, Data Presentation, Predictive Analytics, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Concepts, Strategies, and Analytics in Performance Marketing and Digital Advertising

      Skills you'll gain: Google Ads, Digital Advertising, Online Advertising, Advertising, Contextual Advertising, Pay Per Click Advertising, Advertising Campaigns, Paid media, Social Media, Search Engine Marketing, Keyword Research, Search Engine Optimization, Social Media Marketing, Digital Marketing, Social Media Strategy, Data Ethics, Web Analytics and SEO, Media Planning, Web Analytics, Content Performance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      777 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Gender Analytics: Gender Equity through Inclusive Design

      Skills you'll gain: Human Centered Design, User Experience Design, Organizational Change, User Research, Design Thinking, Change Management, Design Research, Product Design, Data Ethics, Data Collection, Quantitative Research, Influencing, Qualitative Research, Organizational Leadership, Business Leadership, Leadership, Diversity Awareness, Diversity and Inclusion, Innovation, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      581 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I
      S

      Multiple educators

      Generative AI for Growth Marketing

      Skills you'll gain: Prompt Engineering, Generative AI, AI Personalization, ChatGPT, Marketing Strategies, Email Marketing, Growth Strategies, Marketing Automation, OpenAI, Marketing Effectiveness, Marketing Analytics, Customer experience strategy (CX), Customer Engagement, Lead Generation, Large Language Modeling, Customer Insights, Artificial Intelligence, Program Development, Customer Retention, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Digital Marketing

      Skills you'll gain: Prompt Engineering, Generative AI, Digital Advertising, ChatGPT, Email Marketing, OpenAI, Digital Marketing, Marketing Automation, AI Personalization, Marketing Analytics, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Search Engine Optimization, Large Language Modeling, Artificial Intelligence, Copywriting, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 1 - 3 Months

    Analytics learners also search

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    1…171819…221

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

    • Data Analysis and Reporting in SAS Visual Analytics: SAS
    • Analytics en las organizaciones: Universidad de los Andes
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Generative AI for Data Analysts: IBM
    • Complete Visual Guide to Machine Learning: Maven Analytics
    • Process Data from Dirty to Clean: Google
    • Payroll & HR Management : Tally Education and Distribution Services Private Limited
    • Generative AI for Data Scientists: IBM
    • Concepts, Strategies, and Analytics in Performance Marketing and Digital Advertising: University of Colorado Boulder
    • Gender Analytics: Gender Equity through Inclusive Design: University of Toronto

    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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