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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: Free Trial
    Free Trial
    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    466 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Statistical Visualization, Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Big Data Analytics

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, PySpark, Apache Hive, Databases, Analytics, Data Storage Technologies, Data Mining, NoSQL, Applied Machine Learning, Real Time Data, Distributed Computing, Data Processing, Query Languages, Scripting Languages

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    813 reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    BigQuery for Data Analysts

    Skills you'll gain: Looker (Software), Big Data, SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Data Analysis, Data Visualization Software, Google Sheets, Google Cloud Platform, Data Import/Export, Data Integrity

    4.4
    Rating, 4.4 out of 5 stars
    ·
    72 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Big Data

    Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    43 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Fundamentals of Analytics on AWS

    Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    55 reviews

    Mixed · Course · 1 - 4 Weeks

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

    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    376 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Data Analytics Course with Generative AI

    Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Interactive Data Visualization, Data Visualization, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Storytelling, Predictive Modeling, Forecasting, Data Transformation, Descriptive Analytics, Data Modeling, Data Quality, Risk Analysis, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Big Data Technologies and Applications

    Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Data Lakes, Data Warehousing, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Distributed Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

1234…794

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

  • Introduction to Big Data with Spark and Hadoop: IBM
  • Introduction to Data Analytics: IBM
  • Big Data Analytics: O.P. Jindal Global University
  • Big Data: University of California San Diego
  • NoSQL, Big Data, and Spark Foundations: IBM
  • BigQuery for Data Analysts: Google Cloud
  • Introduction to Big Data: University of California San Diego
  • Spark and Python for Big Data with PySpark: EDUCBA
  • Fundamentals of Analytics on AWS: Amazon Web Services
  • AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft

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 Analytics

Big data analytics refers to the process of examining large and complex data sets to uncover hidden patterns, correlations, and insights. This field is crucial because it enables organizations to make data-driven decisions, optimize operations, and enhance customer experiences. In today's data-driven world, the ability to analyze vast amounts of information can lead to significant competitive advantages, making big data analytics an essential skill across various industries.‎

Careers in big data analytics are diverse and growing rapidly. You could pursue roles such as data analyst, data scientist, business intelligence analyst, or big data engineer. These positions often involve interpreting data to help organizations make informed decisions, improving processes, and developing strategies based on data insights. With the increasing reliance on data, opportunities in this field are expanding, making it a promising career choice.‎

To succeed in big data analytics, you should develop a mix of technical and analytical skills. Key skills include proficiency in programming languages like Python or R, knowledge of database management systems (e.g., SQL), and familiarity with data visualization tools. Additionally, understanding statistical analysis and machine learning concepts can be beneficial. Soft skills such as critical thinking, problem-solving, and effective communication are also important for conveying insights to stakeholders.‎

There are several excellent online courses available for learning big data analytics. Notable options include the Big Data Analytics course, which covers fundamental concepts and techniques. The Data Analytics and Big Data Specialization offers a comprehensive curriculum that spans various aspects of data analytics. These courses provide valuable knowledge and skills that can enhance your career prospects.‎

Yes. You can start learning big data analytics on Coursera for free in two ways:

  1. Preview the first module of many big data analytics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in big data analytics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn big data analytics, start by identifying your learning goals and preferred learning style. You can enroll in online courses, such as those offered on Coursera, that provide structured content and hands-on projects. Supplement your learning with books, tutorials, and online resources. Practice by working on real-world data sets and projects to reinforce your skills. Engaging with online communities can also provide support and insights as you progress.‎

Typical topics covered in big data analytics courses include data collection and storage, data processing techniques, statistical analysis, machine learning algorithms, and data visualization. Courses often explore tools and technologies such as Hadoop, Spark, and SQL, as well as best practices for data management and interpretation. By covering these topics, you will gain a well-rounded understanding of how to analyze and leverage big data effectively.‎

For training and upskilling employees in big data analytics, courses like the Google Advanced Data Analytics Professional Certificate and the DeepLearning.AI Data Analytics Professional Certificate are excellent choices. These programs are designed to equip learners with practical skills and knowledge that can be directly applied in the workplace, making them ideal for workforce development.‎

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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