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    • Big Data Analytics

    Big Data Analytics Courses Online

    Master big data analytics for processing and analyzing large datasets. Learn to use tools like Hadoop, Spark, and NoSQL databases.

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    Explore the Big Data Analytics Course Catalog

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Finance and Data Analysis Fundamentals

      Skills you'll gain: Capital Budgeting, Cash Flows, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Financial Analysis, Finance, Data Visualization, Probability, Statistics, Business Valuation, Financial Statement Analysis, Business Mathematics, Accounting, Return On Investment, General Accounting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      787 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel

      Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Depreciation, Data Management, Excel Macros, Excel Formulas, Statistical Modeling, Financial Analysis, Cash Flows, Predictive Modeling, Financial Modeling, Analysis, Microsoft Word, Business Mathematics, Mathematical Modeling, Complex Problem Solving, Financial Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Microsoft 365 Copilot for Leaders

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, ChatGPT, Ideation, Verification And Validation, Data Validation, Succession Planning, Microsoft 365, Target Audience, Business Writing, Generative AI, Microsoft Teams, Leadership, Meeting Facilitation, Organizational Leadership, Productivity Software, Complex Problem Solving, Strategic Communication, Business Leadership, Proposal Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Charts and Dashboards Using Microsoft Excel

      Skills you'll gain: Dashboard, Microsoft Excel, Microsoft 365, Spreadsheet Software, Data Visualization, Trend Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      925 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Business Intelligence Concepts, Tools, and Applications

      Skills you'll gain: Decision Support Systems, Business Intelligence, Data Warehousing, Business Process Management, Data Visualization Software, Performance Measurement, Business Analytics, MicroStrategy, Dashboard, Descriptive Analytics, Key Performance Indicators (KPIs), Analytics, Data-Driven Decision-Making, Competitive Intelligence, Business Reporting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      640 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part II

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computational Thinking, Computer Programming, Network Routing, Programming Principles, Network Model, Java Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Positive Psychology: Martin E. P. Seligman’s Visionary Science

      Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Human Development, Creativity

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Cloudera

      Analyzing Big Data with SQL

      Skills you'll gain: SQL, Apache Hive, Big Data, MySQL, Query Languages, Databases, Apache Hadoop, PostgreSQL, Data Manipulation, Data Analysis, Virtual Machines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      529 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Fundamentals of Data Visualization

      Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), User Centered Design, Statistical Visualization, Data Presentation, Usability, Data Storytelling, Human Computer Interaction, User Research, Usability Testing, Requirements Analysis, Design Elements And Principles

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Business Finance and Data Analysis Fundamentals: Rice University
    • Fundamentals of Reinforcement Learning: University of Alberta
    • AI Product Management: Duke University
    • Everyday Excel: University of Colorado Boulder
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Microsoft 365 Copilot for Leaders: Vanderbilt University
    • Create Charts and Dashboards Using Microsoft Excel: Coursera Project Network
    • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
    • Algorithms, Part II: Princeton University
    • Positive Psychology: Martin E. P. Seligman’s Visionary Science: University of Pennsylvania

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Big Data Analytics

    Big data analytics refers to the application of advanced data analysis techniques to datasets that are very large, diverse (including structured and unstructured data), and often arriving in real time. The ability to process data at this scale is increasingly essential to navigating today’s business world, and it is at the core of important applications such as machine learning, business intelligence, financial engineering, and other software tools to enable data-informed decision-making.

    Computer programs have been used to assist with data analysis for decades, but tools like Microsoft Excel and traditional relational database management systems (RDBMS) queried with SQL are not capable of handling today’s high-volume, high-velocity datasets. Instead, today’s data management professionals rely on high-powered data infrastructure designed to work with distributed file systems and cloud computing resources - particularly the open-source Apache Hadoop ecosystem, including high-speed data processing with Apache Spark and distributed SQL engines like Apache Hive.‎

    Organizations of all types and sizes are seeking ways to leverage the possibilities of big data to improve operations through reduced costs and faster decision-making, create new products and services, or advance our knowledge about the world. Big data analytics skills can thus open up a wide range of career opportunities, from working as a “quant” on Wall Street to developing navigation systems for autonomous vehicles to helping to discover more effective medicines and drugs in health science.

    Two of the most broadly-applicable roles in this field are data engineers, who build the data infrastructure needed to deliver big data-scale datasets efficiently and reliably, and the data scientists responsible for analyzing them. These roles are in high demand, and are highly-paid as well; according to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    Absolutely! Data science is one of the most popular topics to learn about on Coursera, and there are a variety of options to build your skills in big data analytics. You can take online courses and Specializations from top-ranked schools like the University of Pennsylvania and the University of California San Diego, as well as leading companies like IBM, PwC, Cloudera, and Google Cloud. And regardless of where you choose to learn from, Coursera gives you the ability to access course materials and complete assignments on a flexible schedule, making this a great fit for students and mid-career professionals alike.‎

    Before you start learning big data analytics, it’s helpful to have an understanding of database management and the fundamentals of how programming languages work. Specifically, experience with SQL, Python, Java, or R can be useful when studying big data analytics. You also may find it beneficial to know how to work with Hadoop and Linux and use basic math and statistics. Additionally, strong analytical skills and a curiosity about playing with data come in handy when you learn big data analytics.‎

    The right people for roles in big data analytics are inquisitive problem solvers who like working with numbers and using statistics to sort through large amounts of data. They typically have work experience or coursework in high-level math or computer programming. A background in behavioral analysis can also be useful for roles in big data analytics because individuals often seek to understand or predict what influences the behavior represented by data. Big data analysts may often need soft skills, such as communication and collaboration skills they use when explaining what they see in the data and working with team members on projects.‎

    If you like working with numbers and are comfortable using statistical techniques, learning big data analytics may be right for you. The amount of data collected on a daily basis is already massive and continues to grow, so organizations need analysts who can curate and prepare data for businesses, governments, and other groups to use. Learning big data analytics may interest you if you possess strong analytical and problem-solving skills and want to apply those skills to sorting and analyzing data to find what’s useful for a client. You may be able to use the knowledge you gain to land an internship or seek a career in data science filling roles in a variety of industries.‎

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

    When looking to enhance your workforce's skills in Big Data 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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