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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

    • P

      Pontificia Universidad Católica de Chile

      Introducción a la Minería de Datos

      Skills you'll gain: Exploratory Data Analysis, Data Mining, Data Analysis, Machine Learning Algorithms, Data Manipulation, Databases, Data Science, Machine Learning Methods, Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Algorithms, Performance Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      A Complete Reinforcement Learning System (Capstone)

      Skills you'll gain: Reinforcement Learning, Solution Architecture, Artificial Intelligence, Performance Testing, Artificial Neural Networks, Machine Learning Algorithms, Markov Model, Algorithms, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Business English: Making Presentations

      Skills you'll gain: Presentations, Sales Presentation, Persuasive Communication, Microsoft PowerPoint, Public Speaking, Verbal Communication Skills, Data Visualization, Business Communication, Marketing Materials, English Language

      4.8
      Rating, 4.8 out of 5 stars
      ·
      761 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

      3.2
      Rating, 3.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • N

      National Taiwan University

      BIM Application for Engineers

      Skills you'll gain: Autodesk Revit, Building Information Modeling, Autodesk, Construction Estimating, Simulation and Simulation Software, 3D Modeling, Construction Management, Data Integration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      503 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Advanced Define and Measure Phases

      Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      261 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      How To Visualize Your Data Using Microsoft Powerpoint

      Skills you'll gain: Presentations, Microsoft PowerPoint, Data Visualization, Data Storytelling, Video Editing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      235 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Data Visualization with Tableau Project

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization Software, Interactive Data Visualization, Proposal Development, Tableau Software, Exploratory Data Analysis, Data-Driven Decision-Making, Data Cleansing, Data Import/Export, Target Audience

      4.6
      Rating, 4.6 out of 5 stars
      ·
      571 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Algorithms on Graphs

      Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Data Structures, Network Analysis, Pseudocode, Network Model

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Pandas for Data Science

      Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CVS Health

      CVS Health Call Center Customer Service

      Skills you'll gain: Active Listening, Call Center Experience, De-escalation Techniques, Greeting Customers, Growth Mindedness, Customer Service, Empathy, Interviewing Skills, Cross Selling, Retail Sales, Data Entry, Customer Relationship Building, Verbal Communication Skills, Upselling, Teamwork, Customer Complaint Resolution, Conflict Management, Product Knowledge, Retail Store Operations, Oral Comprehension

      4.7
      Rating, 4.7 out of 5 stars
      ·
      361 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Introducción a la Minería de Datos: Pontificia Universidad Católica de Chile
    • A Complete Reinforcement Learning System (Capstone): University of Alberta
    • Business English: Making Presentations: University of Washington
    • Scrape and analyze data analyst job requirements with Python: Coursera Project Network
    • BIM Application for Engineers: National Taiwan University
    • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
    • Analytics for Decision Making: University of Minnesota
    • How To Visualize Your Data Using Microsoft Powerpoint: Coursera Project Network
    • Data Visualization with Tableau Project: University of California, Davis
    • Algorithms on Graphs: University of California San Diego

    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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