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    • Big Data

    Big Data Courses Online

    Master big data technologies for handling large datasets. Learn about data storage, processing, and analysis using tools like Hadoop and Spark.

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    Explore the Big Data Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Game Development with GameMaker

      Skills you'll gain: Video Game Development, Game Design, Debugging, Object Oriented Programming (OOP), Animations, Scripting Languages, Computer Programming, Programming Principles, Unity Engine, C++ (Programming Language), User Interface (UI), C# (Programming Language), Software Installation, Event-Driven Programming, Computational Logic, Data Structures, Scripting, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Foundations of Machine Learning

      Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Science for Health Research

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Data Visualization Software, Regression Analysis, R Programming, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Correlation Analysis, Histogram, Classification And Regression Tree (CART), Data Analysis, Statistical Analysis

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Robotic Path Planning and Task Execution

      Skills you'll gain: Robotic Process Automation, Artificial Intelligence, Graph Theory, Algorithms, Control Systems, Computer Science, Data Structures, Programming Principles

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Capstone and Practice Exam (AZ-500)

      Skills you'll gain: Multi-Factor Authentication, Data Security, Security Strategy, Azure Active Directory, Database Architecture and Administration, Virtual Machines, Microsoft Azure, Cloud Security, Security Controls, Identity and Access Management, System Configuration, Encryption, Security Engineering, Firewall

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Goldman Sachs

      Fundamentos de Vendas e Marketing com o 10,000 Women da Goldman Sachs

      Skills you'll gain: Target Market, Marketing, Marketing Effectiveness, Marketing Planning, Sales Process, Marketing Strategy and Techniques, Sales, Marketing Analytics, Brand Awareness, Business Metrics, Brand Management, Digital Marketing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      65 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Cloud Computing

      Skills you'll gain: Cloud Computing, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Scalability, Cloud Platforms, Public Cloud, Software As A Service, Infrastructure As A Service (IaaS), Cloud Storage, Platform As A Service (PaaS), Private Cloud, Hybrid Cloud Computing, Virtualization

      3.8
      Rating, 3.8 out of 5 stars
      ·
      36 reviews

      Mixed · Course · 1 - 4 Weeks

    • B

      Blue Prism

      Blue Prism Foundation Training

      Skills you'll gain: Robotic Process Automation, Business Objects Framework, Business Process Automation, Process Flow Diagrams, Automation, Process Design, Process Analysis, Process Management, Process Development, Work Order, Process Validation, Release Management, Data Management, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Learn to Job Search with Indeed

      Skills you'll gain: Job Analysis, Compensation Analysis, Company, Product, and Service Knowledge, Recruitment, Business Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      31 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Splunk Query Language and Data Analysis

      Skills you'll gain: Splunk, Dashboard, Data Transformation, Data Manipulation, Data Analysis, Statistical Analysis, Query Languages, Data Visualization Software, Ad Hoc Reporting, Real Time Data, Data Modeling, Continuous Monitoring, Taxonomy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modelling: Techniques of Integration

      Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52 reviews

      Intermediate · Course · 1 - 4 Weeks

    Big Data learners also search

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    1…313314315…604

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

    • Game Development with GameMaker: University of Colorado System
    • Foundations of Machine Learning : Fractal Analytics
    • Data Science for Health Research: University of Michigan
    • Introduction to Uncertainty Quantification: Johns Hopkins University
    • Robotic Path Planning and Task Execution: University of Colorado Boulder
    • Capstone and Practice Exam (AZ-500): Microsoft
    • Fundamentos de Vendas e Marketing com o 10,000 Women da Goldman Sachs: Goldman Sachs
    • Fundamentals of Cloud Computing: LearnQuest
    • Blue Prism Foundation Training: Blue Prism
    • Learn to Job Search with Indeed: Coursera Project Network

    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

    “Big data” is a term widely used to describe our data-rich world, in which virtually every activity generates a digital data footprint that can be collected and analyzed. While data and data analysis are not necessarily new, the effective use of the extremely large - and rapidly-growing - datasets of today require new approaches to data management.

    In order to harness big data for important applications like machine learning and artificial intelligence, you need more than an Excel spreadsheet or a traditional relational database and SQL. Instead, an entire data infrastructure is necessary to collect and process this data at scale, including data pipelines, data lakes, and data warehouses.

    To make this possible, data engineers rely on new approaches to data processing such as MapReduce, developed by Google, the open-source Apache Hadoop ecosystem including Apache Spark and Apache Hive, and, increasingly, cloud computing and cloud database platforms like Cloudera.‎

    With companies in practically every industry eager to discover ways to harness the power of big data in their operations, having a background in this area can open doors to a wide range of careers. Operations managers at manufacturing or logistics companies may harness data to improve their demand forecasting, inventory planning, and process efficiency; digital marketers use marketing analytics to better understand their customers and the effectiveness of their messaging; and “quants” at hedge funds rely on data-based financial engineering approaches to move millions of dollars in milliseconds.

    Understanding how big data applications are built and what they are capable of can thus be incredibly valuable even if you aren’t a data engineer or data scientist yourself. However, if you have the expertise and desire to work directly with big data yourself, data engineers are responsible for building the data infrastructure capable of reliably and efficiently delivering big data at scale, and data scientists are responsible for using a wide range of analytic and programming approaches to uncover insights from it.

    These two roles are in extremely high demand, and command salaries to match. According to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    Yes - in fact, Coursera is one of the best places to learn about big data. You can take individual courses and Specializations spanning multiple courses on big data, data science, and related topics from top-ranked universities from all over the world, from the University California San Diego to Universitat Autònoma de Barcelona. Coursera also offers the opportunity to learn from industry leaders in the field like Google Cloud, Cloudera, and IBM, including options to get professional certificates.‎

    The skills and experience that you might need to already have before starting to learn big data may include software programming knowledge as well as top skills in math, algebra, data science, and related areas. The types of programming languages that are common in big data environments include Python, SQL, Java, C, and overall data structure and algorithm insights. Working with structured and unstructured data may likely require knowledge and background in discrete mathematics, statistics, and linear algebra. Of course, learning about big data roles would also require you to bring good soft skills like listening, focus, communication, and flexibility to the table. Finally, what would also play a part before starting to learn big data might include a good education in data science or mathematics.‎

    The kind of people best suited for work that involves big data are those who are keenly interested in data sciences, statistical modeling, data analysis, and the move to a big data future with the internet. People who love to work with data are best suited for roles in big data. This would likely include persons who may have quantitative experience in data technology, or a background and a skill set working with accounting, finance, ratios, and percentages. Big data enthusiasts may also be adventurous types, who take big risks and want to work at the forefront of technology and society.‎

    Learning big data may be right for you if you have strong analytical insights, a data science background, a head for numbers, and a familiarity with internet tools, cloud platforms, and data analysis software. Working in big data is one of the most in-demand jobs now, and the opportunity to work in a relevant field is very alluring. If you're flexible in your work roles, are a creative thinker, and have the discipline and right background, then learning big data may be right for you to advance your career forward.‎

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

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