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  • Big Data Analytics

Big Data Analytics Courses

Big Data Analytics courses can help you learn data mining, statistical analysis, data visualization, and predictive modeling. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Apache Hadoop, Spark, and Tableau, that support processing large datasets and visualizing trends, allowing you to apply your analytical skills in various business contexts.


More to explore:

Popular Big Data Analytics Courses and Certifications


  • Status: Preview
    Preview
    S

    Simplilearn

    Workflow Automation using Generative AI

    Skills you'll gain: Email Automation, Marketing Automation, OpenAI API, Business Process Automation, AI Workflows, ChatGPT, Automation, Performance Tuning, Workflow Management, Generative AI, Scalability, Process Optimization, Operational Efficiency, Real Time Data, Social Media Content, Application Programming Interface (API), Content Creation

    3.6
    Rating, 3.6 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Matlab, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    GenAI For Business Analysis: Fine-Tuning LLMs

    Skills you'll gain: Model Evaluation, OpenAI API, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Manipulation, Generative AI, Python Programming, Unstructured Data, Performance Metric, Machine Learning, JSON

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Compensation, Benefits and Payroll

    Skills you'll gain: Payroll, HR Tech, Compensation Strategy, Generative AI Agents, Compensation and Benefits, Benefits Administration, Human Resources Information System (HRIS), Payroll Systems, Compensation Analysis, Compensation Management, Payroll Processing, Human Resources, Operational Efficiency, Responsible AI, AI Enablement, Data Ethics, Workforce Management, AI Personalization, Benefits Enrollment Processes, Automation

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    London Business School

    New Ways of Working in an AI World

    Skills you'll gain: AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Leadership Studies, Organizational Leadership, Responsible AI, Business Transformation, Data Strategy, Communication, Stakeholder Communications, Technology Strategies, Business Strategy, Business Ethics, Case Studies, Decision Making

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Mediation, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

    3.3
    Rating, 3.3 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Knitr, Continuous Integration, Development Testing, Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fred Hutchinson Cancer Center

    Developing AI Policy

    Skills you'll gain: Policy Development, Data Ethics, Responsible AI, Stakeholder Engagement, Intellectual Property, Compliance Management, Regulation and Legal Compliance, Legal Strategy, Artificial Intelligence, Governance, Generative AI, Education and Training, Data Science

    4.2
    Rating, 4.2 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    Northeastern University

    Basic Programming in Python II

    Skills you'll gain: Web Applications, Object Oriented Programming (OOP), Application Development, Python Programming, Computer Programming, Programming Principles, Data Science, Data Analysis, Scripting, Data Structures, Debugging, Style Guides, Software Documentation

    Beginner · Course · 1 - 4 Weeks

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

  • Workflow Automation using Generative AI: Simplilearn
  • Machine Learning for Computer Vision: MathWorks
  • GenAI For Business Analysis: Fine-Tuning LLMs: Coursera
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • GenAI for Compensation, Benefits and Payroll: Coursera
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Using probability distributions for real world problems in R: Coursera
  • New Ways of Working in an AI World: London Business School
  • Causal Inference 2: Columbia University
  • Building R Packages: Johns Hopkins 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)

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