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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
      Free
      C

      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      Skills you'll gain: Google Sheets, Spreadsheet Software, Data Presentation, Statistical Visualization, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Excel Formulas, Data Cleansing, Mathematical Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      999 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Integration, Data Quality, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, Exploratory Data Analysis, MySQL, File Management, SQL, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Blockchain Basics

      Skills you'll gain: Blockchain, Cryptography, Transaction Processing, Network Protocols, Encryption, Network Model, Data Structures, Distributed Computing, FinTech, Virtual Environment, Data Integrity, Emerging Technologies, Virtual Machines, Verification And Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Foundations of Business Strategy

      Skills you'll gain: Business Strategy, Strategic Thinking, Competitive Analysis, Organizational Strategy, Strategic Decision-Making, Market Analysis, Analysis, Business Economics, Value Propositions

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Power Electronics

      Skills you'll gain: Power Electronics, Control Systems, Electronic Systems, Semiconductors, Electrical Engineering, Basic Electrical Systems, Electric Power Systems, Electrical Power, Electronic Components, Systems Analysis, Simulations, Electronics, Electronics Engineering, Engineering Analysis, Mathematical Modeling, Systems Design, Plot (Graphics), Technical Design, Engineering Design Process, Engineering Calculations

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 1

      Skills you'll gain: Debugging, Computational Thinking, Programming Principles, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 3 Months

    • E

      Erasmus University Rotterdam

      Econometrics: Methods and Applications

      Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Predictive Analytics, Probability, Linear Algebra, Peer Review

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      A

      Adobe

      Adobe Marketing Specialist

      Skills you'll gain: Color Theory, Social Media Content, Promotional Strategies, Marketing Planning, Target Audience, Typography, Marketing Strategy and Techniques, Digital Marketing, Content Creation, Content Marketing, Social Media Strategy, Generative AI, Graphic and Visual Design, Marketing Strategies, Cross-Channel Marketing, Design, Marketing Effectiveness, Data Ethics, Adobe Creative Cloud, Graphic and Visual Design Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      858 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • C

      Coursera Instructor Network

      Data Privacy and Protection Standards

      Skills you'll gain: Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Data Ethics, Data Loss Prevention, Security Controls, Regulatory Compliance, Compliance Management, Data Integrity, Security Strategy, Incident Response

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      A

      Adobe

      Adobe Content Creator

      Skills you'll gain: Color Theory, Social Media Content, Target Audience, Typography, Video Production, Multimedia, Content Creation, Social Media Strategy, Generative AI, Content Performance Analysis, Social Media Marketing, Graphic and Visual Design, Design, Storyboarding, Web Content Accessibility Guidelines, Design Elements And Principles, Social Media Management, Data Ethics, Adobe Creative Cloud, Graphic and Visual Design Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      861 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Salesforce

      Salesforce Sales Operations

      Skills you'll gain: Sales Pipelines, Sales Process, Sales Operations, Customer Success Management, Order Management, Sales Management, Salesforce, Dashboard, Sales, Sales Development, Customer Relationship Management (CRM) Software, Lead Generation, Request For Quotation (RFQ), Sales Support, Sales Enablement, Customer Relationship Management, Product Knowledge, B2B Sales, Campaign Management, Data Visualization

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Introduction to the Internet of Things and Embedded Systems

      Skills you'll gain: Embedded Systems, Internet Of Things, General Networking, Operating Systems, Wireless Networks, Network Protocols, Computer Hardware, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Mixed · Course · 1 - 4 Weeks

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    1…444546…637

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

    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • Getting and Cleaning Data: Johns Hopkins University
    • Blockchain Basics: University at Buffalo
    • Foundations of Business Strategy: University of Virginia
    • Power Electronics: University of Colorado Boulder
    • Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
    • Econometrics: Methods and Applications: Erasmus University Rotterdam
    • Adobe Marketing Specialist: Adobe
    • Data Privacy and Protection Standards: Coursera Instructor Network
    • Adobe Content Creator: Adobe

    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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