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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


  • C

    Coursera

    Data Analysis with SQL: Inform a Business Decision

    Skills you'll gain: SQL, Business Intelligence, Data Presentation, Business Analysis, Data Analysis, Query Languages, Databases

    4.2
    Rating, 4.2 out of 5 stars
    ·
    46 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Navigation and Data Handling

    Skills you'll gain: Apple iOS, Swift Programming, Mobile Development, UI Components, Animations, Apple Xcode, Data Storage, Cloud Storage, Responsive Web Design, User Interface (UI), Human Computer Interaction, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM COBOL Data and File Management

    Skills you'll gain: COBOL (Programming Language), Job Control Language (JCL), IBM DB2, z/OS, Mainframe Computing, Relational Databases, File Management, Data Management, Databases, Database Management Systems, File Systems, Programming Principles, Command-Line Interface, Computer Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Healthcare Data Security, Privacy, and Compliance

    Skills you'll gain: Medical Privacy, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Health Information Management, Security Awareness, Encryption, Personally Identifiable Information, Health Care, Health Care Procedure and Regulation, Data Security, Cyber Attacks, Medical Records, Information Privacy, Cloud Computing, Patient Safety

    4.8
    Rating, 4.8 out of 5 stars
    ·
    447 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Java: Non-Linear Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Theoretical Computer Science, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Inheritance and Data Structures in Java

    Skills you'll gain: File I/O, Java Programming, Eclipse (Software), Java, Debugging, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, Development Environment, Software Design, Programming Principles, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Linux and Bash for Data Engineering

    Skills you'll gain: Bash (Scripting Language), Linux Commands, Shell Script, Linux, Linux Administration, Unix Shell, File Management, Unix, Unix Commands, File Systems, Scripting, Command-Line Interface, Scripting Languages, Remote Access Systems, Data Manipulation, Data Processing, Data Management, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    132 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Analysis with SQL: Inform a Business Decision: Coursera
  • Advanced Navigation and Data Handling: Packt
  • IBM COBOL Data and File Management: IBM
  • Healthcare Data Security, Privacy, and Compliance: Johns Hopkins University
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Java: Non-Linear Data Structures: Codio
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Inheritance and Data Structures in Java: University of Pennsylvania
  • Data Science Project: MATLAB for the Real World: MathWorks

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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