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Big Data Courses

Big Data courses can help you learn data analysis, data visualization, statistical modeling, and data mining techniques. You can build skills in interpreting large datasets, designing data-driven strategies, and utilizing machine learning algorithms. Many courses introduce tools like Hadoop, Spark, and Tableau, that support processing vast amounts of information and presenting insights effectively. Additionally, you may explore topics such as data warehousing, predictive analytics, and the ethical implications of data usage.


Popular Big Data Courses and Certifications


  • Status: Free Trial
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    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Classification And Regression Tree (CART), Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Supervised Learning, Data Cleansing, Exploratory Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Glasgow

    Data mining of Clinical Databases - CDSS 1

    Skills you'll gain: Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Analytics, Relational Databases, Patient Flow, Exploratory Data Analysis, Predictive Analytics, Descriptive Statistics, Predictive Modeling, SQL, Interoperability, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Regression Analysis, Data Analysis, Big Data, Analytics, Feature Engineering, Engineering Analysis, Predictive Modeling, Data Science, Data Processing, Statistical Analysis, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Data Cleansing, Unsupervised Learning, Machine Learning, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Manipulation, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Exploratory Data Analysis, Applied Machine Learning, Statistical Reporting, Data Science, Machine Learning, Data Analysis, Matlab, Data Processing, Technical Communication, Predictive Modeling, Data Manipulation, Data Cleansing, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Fractal Analytics

    Advanced Data Techniques for Enterprise AI Systems

    Skills you'll gain: Data Governance, Data Strategy, Data Ethics, Responsible AI, Data Management, Data Architecture, Metadata Management, Data Store, Data Loss Prevention, Data Security, Interoperability, Docker (Software), Data Storage, Data Processing, Semantic Web, Generative AI Agents, Real Time Data, Large Language Modeling, Machine Learning, Agentic systems

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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

  • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
  • Data mining of Clinical Databases - CDSS 1: University of Glasgow
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Machine Learning e Data Mining in R: Università di Napoli Federico II
  • Foundations of ML & Python for Data Science: Packt
  • Mathematics for Machine Learning: Imperial College London
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics

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)

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