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    • Data Analytics

    Data Analytics Courses Online

    Learn data analytics for extracting insights from data. Understand data processing, statistical analysis, and visualization techniques.

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    Explore the Data Analytics Course Catalog

    • R

      Rice University

      Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

      Skills you'll gain: Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      International Marketing & Cross Industry Growth

      Skills you'll gain: Business Marketing, Hospitality Management, Peer Review, Global Marketing, Marketing, Hospitality, Brand Management, B2B Sales, Customer Service, Innovation, Marketing Management, Promotional Strategies, Customer Relationship Management, Strategic Marketing, Business-To-Consumer, Consumer Behaviour, Healthcare Industry Knowledge, Target Market, Growth Strategies, Digital Marketing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      AWS Certified Data Analytics Specialty (2023) Hands-on

      Skills you'll gain: Amazon DynamoDB, Amazon S3, AWS Kinesis, Amazon Redshift, AWS SageMaker, Data Warehousing, Real Time Data, Apache Hadoop, Amazon CloudWatch, Apache Spark, Cloud Storage, Data Pipelines, Data Management, PySpark, Dashboard, Apache Hive, Data Storage Technologies, Data Visualization Software, Data Processing, Data Storage

      Beginner · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Drug Discovery

      Skills you'll gain: Pharmaceuticals, Clinical Trials, Bioinformatics, Medical Science and Research, Life Sciences, Innovation, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.8K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Creative Designing in Power BI

      Skills you'll gain: Data Storytelling, Power BI, Data Presentation, Dashboard, Data Visualization Software, Data Visualization, Microsoft Power Platform, Data Analysis, Creative Design, Data Mapping, Data Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      281 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Virtual Reality

      Skills you'll gain: Virtual Reality, Augmented and Virtual Reality (AR/VR), Visualization (Computer Graphics), Virtual Environment, Computer Graphics, Prototyping, Interaction Design, Storyboarding, User Interface (UI), Human Computer Interaction, Ideation, Usability Testing, Human Machine Interfaces, Display Devices, Technical Design, Usability, Conceptual Design, User Interface (UI) Design, User Research, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      3D Printing and Additive Manufacturing

      Skills you'll gain: 3D Modeling, Design Software, Design Thinking, Hardware Troubleshooting, Conceptual Design, Visualization (Computer Graphics), Computer Hardware, Manufacturing Processes, Emerging Technologies, Manufacturing and Production, Mechanical Design, Computer Graphics, Design, Innovation, Product Design, Digital Design, Community Development, Business Transformation, Industrial Design, Prototyping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Microsoft

      Microsoft Python Development

      Skills you'll gain: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Version Control, Matplotlib, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Scripting, GitHub, Debugging, Data Cleansing, Exploratory Data Analysis, Restful API, Application Deployment, Test Driven Development (TDD)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      149 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      U

      University of California, Santa Cruz

      Go and C++: Programming in Two Successor Languages of C

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Debugging, Unit Testing, Algorithms, C (Programming Language), Program Development, Software Design, Computer Programming, Programming Principles, Graph Theory, Software Testing, File Systems, Artificial Intelligence, Integration Testing, System Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market, Artificial Neural Networks

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Processing, Distributed Computing, Performance Tuning, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      AI Applications in Marketing and Finance

      Skills you'll gain: Big Data, Credit Risk, Risk Management, Personalized Service, Digital Transformation, Customer Insights, Machine Learning, Marketing Analytics, Customer Engagement, Risk Analysis, Advanced Analytics, Data-Driven Decision-Making, Anomaly Detection, Financial Data, Consumer Behaviour, Artificial Intelligence, Retail Banking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      388 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
    • International Marketing & Cross Industry Growth: Yonsei University
    • AWS Certified Data Analytics Specialty (2023) Hands-on: Packt
    • Drug Discovery : University of California San Diego
    • Creative Designing in Power BI : Microsoft
    • Virtual Reality: University of London
    • 3D Printing and Additive Manufacturing: University of Illinois Urbana-Champaign
    • Microsoft Python Development: Microsoft
    • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
    • Machine Learning for Trading: New York Institute of Finance

    Frequently Asked Questions about Data Analytics

    Coursera’s Data Analytics courses equip learners with a broad array of analytical skills:

    • Basics of data collection, cleaning, and preprocessing
    • Techniques for statistical analysis and interpretation of data
    • Use of analytics tools and software like Python, R, SQL, and Excel
    • Data visualization skills for communicating insights effectively
    • Understanding of machine learning models for data-driven predictions
    • Application of analytics in real-world business scenarios‎

    Data Analytics courses on Coursera are designed to welcome learners at all levels:

    • Beginners without prior experience can start with introductory courses on the fundamentals of data handling and analysis.
    • Intermediate learners can build on existing knowledge with courses on specific tools or techniques.
    • Advanced users can refine their skills and learn to manage complex analytics projects and data sets.‎

    Learners completing Data Analytics courses on Coursera can earn credentials that may enhance their professional profiles:

    • Professional certificates that may indicate proficiency in various analytics tools and methodologies
    • Specializations that explore specific aspects of data analytics, from data visualization to advanced statistical methods
    • Certificates that can be seen by employers as a testament to your commitment to developing analytics skills‎

    Acquiring skills from Data Analytics courses can open doors to diverse career paths across sectors:

    • Data Analyst, turning data into insights that inform business decisions
    • Business Intelligence Analyst, developing actionable intelligence from complex datasets
    • Data Scientist, using advanced statistical techniques and machine learning to solve problems
    • Marketing Analyst, analyzing consumer data to drive marketing strategies
    • Operations Analyst, improving efficiency through data-driven process optimizations ‎

    Yes, Coursera offers a variety of free courses across many topics, including data analytics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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