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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 Boulder

      Defining, Describing, and Visualizing Data

      Skills you'll gain: Data-Driven Decision-Making, Data Literacy, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Visualization, Box Plots, R Programming, Exploratory Data Analysis, Data Manipulation, Probability, Statistical Analysis, Histogram

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Social Media Marketing with Visme

      Skills you'll gain: Instagram, Social Media Campaigns, Social Media Marketing, Marketing Budgets, Social Media Content, Social Media, Marketing Materials, Content Creation, Graphic and Visual Design Software, Creative Design, Data Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      37 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • T

      The Chinese University of Hong Kong

      离散优化建模基础篇 Basic Modeling for Discrete Optimization

      Skills you'll gain: Mathematical Modeling, Computational Thinking, Graph Theory, Decision Support Systems, Algorithms, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Geotechnical Foundation Design

      Skills you'll gain: Building Codes, Construction, Laboratory Testing, Structural Engineering, Laboratory Experience, Construction Engineering, Geostatistics, Civil Engineering, Environmental Monitoring, Experimentation, Research Reports, Engineering Practices, Engineering Analysis, Engineering Calculations, Structural Analysis, Failure Analysis, Finite Element Methods, Engineering, Scientific, and Technical Instruments, Engineering Design Process, Simulation and Simulation Software

      Advanced · Specialization · 3 - 6 Months

    • C

      Coursera Instructor Network

      Advanced Data Analysis and Collaboration in Qlik Sense

      Skills you'll gain: Data Storytelling, Data Visualization Software, Dashboard, Data Analysis, Advanced Analytics, Interactive Data Visualization, Data Visualization, Analytics, Data Manipulation, Collaborative Software, Data Presentation, Data Sharing

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Naive Bayes 101: Resume Selection with Machine Learning

      Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Introdução aos Sistemas de Informação para Negócios

      Skills you'll gain: Digital Transformation, IT Service Management, Information Technology Infrastructure Library, Service Management, Interoperability, IT Management, Business Transformation, Data Strategy, DevOps, Information Systems Security, Cybersecurity, Systems Integration, Innovation, Application Programming Interface (API), Service Design, Organizational Strategy, Mobile Banking, Social Media, E-Commerce, Organizational Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      68 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Diabetes Prediction With Pyspark MLLIB

      Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis, Machine Learning, Google Cloud Platform

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Create a Tic-Tac-Toe game in Python

      Skills you'll gain: Cross Platform Development, Event-Driven Programming, Visualization (Computer Graphics), Computer Graphics, Video Game Development, Python Programming, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Building Production-Ready Apps with Large Language Models

      Skills you'll gain: Prompt Engineering, Application Deployment, Application Development, Large Language Modeling, Data Ethics, Artificial Intelligence, Generative AI, Human Machine Interfaces, Scalability, Application Security, Information Privacy

      3.9
      Rating, 3.9 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Predictive Analytics, Statistical Analysis, Rmarkdown, Probability & Statistics, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Copilot for Power BI

      Skills you'll gain: Microsoft Copilot, Generative AI, Power BI, Interactive Data Visualization, Data Storytelling, Data Analysis Expressions (DAX), Business Intelligence, Prompt Engineering, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    Big Data learners also search

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    1…324325326…607

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

    • Defining, Describing, and Visualizing Data: University of Colorado Boulder
    • Introduction to Social Media Marketing with Visme: Coursera Project Network
    • 离散优化建模基础篇 Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
    • Geotechnical Foundation Design: L&T EduTech
    • Advanced Data Analysis and Collaboration in Qlik Sense : Coursera Instructor Network
    • Naive Bayes 101: Resume Selection with Machine Learning: Coursera Project Network
    • Introdução aos Sistemas de Informação para Negócios: Fundação Instituto de Administração
    • Diabetes Prediction With Pyspark MLLIB: Coursera Project Network
    • Create a Tic-Tac-Toe game in Python: Coursera Project Network
    • Building Production-Ready Apps with Large Language Models: Coursera Instructor 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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