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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
      C

      Codio

      Programming in C++: A Hands-on Introduction

      Skills you'll gain: Data Import/Export, C++ (Programming Language), Object Oriented Programming (OOP), Data Validation, Object Oriented Design, Programming Principles, Computer Programming, Data Structures, File Management, Integrated Development Environments, Software Documentation, Computer Science, Pseudocode, Maintainability, Data Storage

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Building Web Applications in PHP

      Skills you'll gain: PHP (Scripting Language), Hypertext Markup Language (HTML), MySQL, Web Applications, Web Development, Secure Coding, Cascading Style Sheets (CSS), Development Environment, Back-End Web Development, Database Development, Web Servers, Debugging, Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Intermediate · Course · 1 - 3 Months

    • L

      Lund University

      AI & Law

      Skills you'll gain: Legal Risk, Law, Regulation, and Compliance, Regulation and Legal Compliance, Artificial Intelligence, Intellectual Property, Legal Proceedings, Data Ethics, Labor Law, Legal Research, Innovation, Criminal Investigation and Forensics, Public Administration, Healthcare Industry Knowledge

      4.7
      Rating, 4.7 out of 5 stars
      ·
      676 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced React

      Skills you'll gain: Jest (JavaScript Testing Framework), React.js, Web Development Tools, Application Programming Interface (API), Unit Testing, UI Components, Software Design Patterns, Javascript, Continuous Integration, Integration Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Renewable Energy and Green Building Entrepreneurship

      Skills you'll gain: Innovation, Entrepreneurship, Team Building, Business Modeling, Environmental Issue, Business Planning, New Business Development, Business Strategy, Corporate Sustainability, Business Development, Entrepreneurial Finance, Action Oriented, Environment and Resource Management, Stakeholder Engagement, Market Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • T

      Technical University of Denmark (DTU)

      Antimicrobial resistance - theory and methods

      Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Medical Laboratory, Clinical Laboratory Science, Epidemiology, Public Health and Disease Prevention, Data Quality, Medical Science and Research, Biology, Public Health, Pharmacology, Molecular Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

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

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      SQL Fundamentals for Data Analysts

      Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Relational Databases, Business Intelligence, Query Languages, Data Warehousing, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mastering Software Development in R

      Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Arrays, Lists, and Structured Data

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Java, Software Engineering, Algorithms, Encryption, Programming Principles, Data Analysis, Web Servers, Statistical Methods, File Management, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Science Coding Challenge: Loan Default Prediction

      Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Predictive Analytics, Data Manipulation, Data Science, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      91 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Digital Media and Marketing Strategies

      Skills you'll gain: Digital Media Strategy, Online Advertising, Digital Marketing, Content Marketing, Marketing Strategies, Social Media Marketing, Marketing Effectiveness, Social Media, Shared Media, Paid media, Integrated Marketing Communications, Risk Management, Search Engine Optimization, Customer Relationship Management, Owned Media, Key Performance Indicators (KPIs)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Programming in C++: A Hands-on Introduction: Codio
    • Building Web Applications in PHP: University of Michigan
    • AI & Law : Lund University
    • Advanced React: Meta
    • Renewable Energy and Green Building Entrepreneurship: Duke University
    • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)
    • Practical Machine Learning: Johns Hopkins University
    • SQL Fundamentals for Data Analysts: Corporate Finance Institute
    • Mastering Software Development in R: Johns Hopkins University
    • Java Programming: Arrays, Lists, and Structured Data: Duke University

    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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