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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
      L

      LearnQuest

      Spring Data Repositories

      Skills you'll gain: Spring Framework, Hibernate (Java), Object-Relational Mapping, Transaction Processing, Databases, Java, Restful API, Data Access, Web Services, Middleware

      3.9
      Rating, 3.9 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Crear una hoja para Gestionar Proyectos en Microsoft Excel

      Skills you'll gain: Microsoft Excel, Project Management Software, Spreadsheet Software, Organizational Skills, Dashboard, Data Entry, Prioritization, Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      139 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Working with Subqueries in SQL

      Skills you'll gain: SQL, PostgreSQL, Query Languages

      4.4
      Rating, 4.4 out of 5 stars
      ·
      58 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • F

      Fundação Lemann

      Explorando os recursos educacionais da Khan Academy

      Skills you'll gain: Learning Management Systems, Blended Learning, Education Software and Technology, Student-Centred Learning, Teaching, Differentiated Instruction, Data Analysis, Instructional Strategies, Mathematics Education, Performance Reporting, Student Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      96 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tally Education and Distribution Services Private Limited

      Basics of Statutory Compliance and Taxation

      Skills you'll gain: Accounting and Finance Software, Tax Returns, Data Import/Export, Tax Management, Tax Compliance, Bookkeeping, Payroll Tax, Invoicing, Ledgers (Accounting), Tax Laws, Financial Data, Financial Reporting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      ARM Cortex (STM32) Fundamentals: Building Embedded Systems

      Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language), Programming Principles, Hardware Architecture, Computer Architecture, Debugging, Peripheral Devices

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Internet of Things V2: Setting up and Using Cloud Services

      Skills you'll gain: Cloud Computing Architecture, Cloud Computing, Amazon Web Services, Cloud Infrastructure, Cloud Services, Embedded Software, Internet Of Things, Amazon Elastic Compute Cloud, Software Installation, Embedded Systems, Linux, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Lean Workflow with Kanban Frameworks in Miro

      Skills you'll gain: Kanban Principles, Agile Methodology, Lean Methodologies, Workflow Management, Business Process, Process Mapping, Process Optimization, Data Visualization, Collaborative Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Web Development with Python

      Skills you'll gain: Web Development, Flask (Web Framework), Restful API, Selenium (Software), Front-End Web Development, Web Applications, Full-Stack Web Development, Secure Coding, Object-Relational Mapping, JavaScript Frameworks, Application Security, Application Deployment, Cloud Applications, HTML and CSS, Back-End Web Development, Databases, Application Programming Interface (API), Microsoft Azure, Vue.JS, Relational Databases

      3.7
      Rating, 3.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      Compensation: Job Evaluations & Pay Structures

      Skills you'll gain: Job Evaluation, Compensation Analysis, Compensation Strategy, Compensation Management, Job Analysis, Compensation and Benefits, Payroll, Human Resource Strategy, Performance Review, Data Visualization, Benchmarking, Data Analysis, Market Analysis, Diversity and Inclusion

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      算法设计与分析 Design and Analysis of Algorithms

      Skills you'll gain: Algorithms, Mathematical Modeling, Applied Mathematics, Combinatorics, Theoretical Computer Science, Data Structures, Pseudocode, Computational Thinking, Mathematical Theory & Analysis, Numerical Analysis, Graph Theory, Design Strategies, Network Routing, Image Analysis, Bioinformatics, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Inteligência Artificial para Logística

      Skills you'll gain: Logistics Management, Logistics, Inventory and Warehousing, Supply Chain, Strategic Planning, Transportation Operations, Warehouse Management, Internet Of Things, Automation, Artificial Intelligence

      5
      Rating, 5 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    Big Data learners also search

    Big Data Analytics
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    1…304305306…607

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

    • Spring Data Repositories: LearnQuest
    • Crear una hoja para Gestionar Proyectos en Microsoft Excel: Coursera Project Network
    • Working with Subqueries in SQL: Coursera Project Network
    • Explorando os recursos educacionais da Khan Academy: Fundação Lemann
    • Basics of Statutory Compliance and Taxation: Tally Education and Distribution Services Private Limited
    • ARM Cortex (STM32) Fundamentals: Building Embedded Systems: EDUCBA
    • Internet of Things V2: Setting up and Using Cloud Services: University of California San Diego
    • Build a Lean Workflow with Kanban Frameworks in Miro: Coursera Project Network
    • Web Development with Python: Microsoft
    • Compensation: Job Evaluations & Pay Structures: Automatic Data Processing, Inc. (ADP)

    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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