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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

    • Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Google Analytics, Data Processing, Analytical Skills, Artificial Intelligence, R Programming, Data Storytelling, Project Documentation, Presentations, Portfolio Management, LinkedIn

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

      Beginner · Course · 1 - 4 Weeks

    • Amazon Web Services

      Getting Started with Data Analytics on AWS

      Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Data Literacy, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Big Data, Amazon S3, Business Intelligence, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      887 reviews

      Beginner · Course · 1 - 4 Weeks

    • Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      193 reviews

      Beginner · Course · 1 - 3 Months

    • PwC

      Data-driven Decision Making

      Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Data Literacy, Big Data, Data Storytelling, Statistical Analysis, Microsoft Excel, Data Visualization Software, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Illinois Urbana-Champaign

      Digital Marketing Analytics in Practice

      Skills you'll gain: Data Storytelling, Marketing Analytics, Google Analytics, Web Analytics, Analytics, Trend Analysis, Digital Marketing, Data Analysis, Marketing, Digital Advertising, Data Collection, Information Privacy

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming

      Mixed · Course · 1 - 4 Weeks

    • Fractal Analytics

      Data Storytelling

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Storyboarding, Storytelling, Data Visualization Software, Infographics, Data Ethics, Data Literacy, Data-Driven Decision-Making, Data Analysis, Drive Engagement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Introduction to Data Analytics on Google Cloud

      Skills you'll gain: Data-Driven Decision-Making, Looker (Software), Data Storytelling, Data Presentation, Big Data, Data Analysis, Google Cloud Platform, Analytics, Business Intelligence, Data Storage, Data Visualization Software, Dashboard, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Fractal Analytics

      Insights of Power BI

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Modeling, Data Visualization Software, Data Transformation, Data Cleansing, Business Intelligence, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Business Reporting, Microsoft Excel, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Edureka

      MySQL for Data Analytics and Business Intelligence

      Skills you'll gain: MySQL, Relational Databases, Database Management, SQL, Databases, Business Intelligence, Data Storytelling, Role-Based Access Control (RBAC), Data Visualization Software, Data Warehousing, Data Access, Data Literacy, Query Languages, Data Transformation, Performance Tuning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Fractal Analytics

      Quantum Computing For Everyone - An Introduction

      Skills you'll gain: Computer Science, IBM Cloud, Algorithms, Data Ethics, Computational Thinking, Linear Algebra, Emerging Technologies, Cryptography, Physics, Applied Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      62 reviews

      Beginner · Course · 1 - 4 Weeks

    • Unilever

      Unilever Digital Marketing Analyst

      Skills you'll gain: Data Storytelling, Marketing Automation, Web Analytics, Marketing Effectiveness, Marketing Analytics, Customer Insights, Digital Marketing, Social Media Campaigns, Market Analysis, Google Analytics, Social Media Marketing, Customer Analysis, Search Engine Marketing, Marketing Strategies, Social Media Strategy, Customer experience strategy (CX), Performance Reporting, Search Engine Optimization, Predictive Analytics, MarTech

      4.7
      Rating, 4.7 out of 5 stars
      ·
      231 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Analytics learners also search

    Business Analytics
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    Web Analytics
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    1…567…212

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

    • Google Data Analytics Capstone: Complete a Case Study: Google
    • Getting Started with Data Analytics on AWS: Amazon Web Services
    • Python Data Analytics: Meta
    • Data-driven Decision Making: PwC
    • Digital Marketing Analytics in Practice: University of Illinois Urbana-Champaign
    • Data Analytics Engineering: Probability & Techniques: Northeastern University
    • Data Storytelling: Fractal Analytics
    • Introduction to Data Analytics on Google Cloud : Google Cloud
    • Insights of Power BI: Fractal Analytics
    • MySQL for Data Analytics and Business Intelligence: Edureka

    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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