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    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

      Universidad de los Andes

      Analítica de Datos en Finanzas​

      Skills you'll gain: Technical Analysis, Portfolio Management, Investments, Financial Forecasting, Financial Trading, Financial Analysis, Financial Market, Financial Modeling, Analytics, Capital Markets, Time Series Analysis and Forecasting, Statistical Analysis, Market Trend, Securities Trading, Applied Machine Learning, Predictive Modeling, Equities, Risk Management, Performance Analysis, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      181 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computer Simulations

      Skills you'll gain: Simulations, Social Sciences, Systems Thinking, Agentic systems, Computational Thinking, Sociology, Economics, Scientific Methods, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Generative AI in Business

      Skills you'll gain: Generative AI, Data Integration, Customer experience strategy (CX), Data Strategy, Business Planning, Solution Delivery, Innovation, Performance Analysis, Performance Measurement, Business Analysis, Project Risk Management, Project Performance, Data Quality, Risk Management, Business Process, Business Transformation, Prompt Engineering, Business Process Automation, Business Strategy, Solution Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Genentech

      Data Sciences in Pharma - Patient Centered Outcomes Research

      Skills you'll gain: Clinical Trials, Clinical Research, Pharmaceuticals, Patient Evaluation, Quantitative Research, Patient Safety, Medical Science and Research, Data Analysis, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep AZ-104: Microsoft Azure Administrator Associate

      Skills you'll gain: Role-Based Access Control (RBAC), Azure Active Directory, Microsoft Azure, Kubernetes, Load Balancing, Network Monitoring, Containerization, Virtual Machines, Identity and Access Management, Application Deployment, Data Management, Cloud Storage, Cloud Management, Data Storage, Cloud Computing, Cloud Services, Network Architecture, Cloud Infrastructure, System Monitoring, Network Administration

      4.2
      Rating, 4.2 out of 5 stars
      ·
      119 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Power BI for Beginners: Interactive Dashboard Fundamentals

      Skills you'll gain: Key Performance Indicators (KPIs), Power BI, Dashboard, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Business Metrics, Performance Analysis, Data Visualization Software, Data Import/Export, Business Intelligence, Regional Sales, Sales Presentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Palo Alto Networks

      Palo Alto Networks Security Operations Fundamentals

      Skills you'll gain: Endpoint Security, Security Information and Event Management (SIEM), Zero Trust Network Access, Cybersecurity, Cyber Threat Intelligence, Threat Modeling, Security Engineering, Continuous Monitoring, IT Security Architecture, Threat Detection, Incident Response, Malware Protection, Automation, Data Lakes

      4.7
      Rating, 4.7 out of 5 stars
      ·
      201 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Basic Data Processing and Visualization

      Skills you'll gain: Data Processing, Data Manipulation, Interactive Data Visualization, Web Scraping, Data Visualization Software, Pandas (Python Package), Data Science, Data Cleansing, Matplotlib, Data Import/Export, NumPy, Jupyter, JSON, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      196 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Python Data Representations

      Skills you'll gain: Development Environment, Data Structures, File Management, Data Storage, Scripting, Python Programming, Program Development, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Python Packages for Data Science

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      73 reviews

      Intermediate · Course · 1 - 4 Weeks

    Big Data learners also search

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    1…168169170…610

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

    • Analítica de Datos en Finanzas​: Universidad de los Andes
    • Computer Simulations: University of California, Davis
    • Generative AI in Business: University of Michigan
    • Data Sciences in Pharma - Patient Centered Outcomes Research: Genentech
    • Exam Prep AZ-104: Microsoft Azure Administrator Associate: Whizlabs
    • Introduction to Data Science and scikit-learn in Python: LearnQuest
    • Power BI for Beginners: Interactive Dashboard Fundamentals: Coursera Project Network
    • Palo Alto Networks Security Operations Fundamentals: Palo Alto Networks
    • Basic Data Processing and Visualization: University of California San Diego
    • Python Data Representations: Rice 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

    “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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