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    • Data Analytics

    Data Analytics Courses

    Data analytics courses can help you learn how to collect, interpret, and visualize data to uncover insights and support decision-making across industries.

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    Find the Best Data Analytics Course for Your Goals

    • G

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery

      Skills you'll gain: Data Transformation, Big Data, Data Cleansing, Cloud Infrastructure, Google Cloud Platform, Data Analysis, Data Warehousing, SQL, Data Pipelines, Data Visualization Software, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Embedded Systems, Machine Controls, Programmable Logic Controllers, Embedded Software, Electronic Systems, Automation Engineering, Hardware Design, Electronics Engineering, Basic Electrical Systems, Manufacturing Processes, Electrical Engineering, Manufacturing and Production, Electronics, Electronic Components, Power Electronics, Three-Phase, Medical Equipment and Technology, Electrical Systems

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Data Analysis, Performance Tuning, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      507 reviews

      Advanced · Course · 1 - 3 Months

    • É

      École Polytechnique

      How to Write and Publish a Scientific Paper (Project-Centered Course)

      Skills you'll gain: Peer Review, Journals, Scientific Methods, Writing, Research, Research Design, Research Methodologies, Editing, Style Guides, Ethical Standards And Conduct, Data Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Computer Communications

      Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Security, Network Planning And Design, Network Architecture, Network Performance Management, Computer Networking, Network Model, Network Infrastructure, Wireless Networks, Telecommunications, Software-Defined Networking, Algorithms, System Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      Essential Design Principles for Tableau

      Skills you'll gain: Data Visualization Software, Tableau Software, Exploratory Data Analysis, Data Presentation, Data Analysis, Web Content Accessibility Guidelines, User Interface and User Experience (UI/UX) Design, Usability, Design Elements And Principles, Color Theory, Data Ethics, Human Factors, Aesthetics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Introduction to Structured Query Language (SQL)

      Skills you'll gain: Database Design, SQL, MySQL, Relational Databases, Databases, Data Modeling, Development Environment, PHP (Scripting Language), Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Applied Text Mining in Python

      Skills you'll gain: Text Mining, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Processing, Feature Engineering, Data Manipulation, Data Cleansing, Unsupervised Learning, Supervised Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Introduction to Python Programming

      Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Meta

      Fundamentals of Social Media Advertising

      Skills you'll gain: Paid media, Instagram, Social Media, Social Media Campaigns, Advertising, Digital Advertising, Marketing Materials, Social Media Marketing, Facebook, Copywriting, Content Creation, Marketing, Information Privacy, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Plant Bioinformatic Methods

      Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Interactive Data Visualization, Statistical Analysis, Databases

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

      Beginner · Specialization · 3 - 6 Months

    • I

      ISC2

      Certified in Cybersecurity

      Skills you'll gain: Network Security, Incident Response, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, Configuration Management, Cybersecurity, Security Management, Cyber Attacks, Computer Security Awareness Training, Data Security, Infrastructure Security, Risk Management Framework, Event Monitoring, Encryption, Threat Detection, Role-Based Access Control (RBAC), Authorization (Computing), Cyber Security Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Exploring ​and ​Preparing ​your ​Data with BigQuery: Google Cloud
    • Embedding Sensors and Motors: University of Colorado Boulder
    • The Nuts and Bolts of Machine Learning: Google
    • How to Write and Publish a Scientific Paper (Project-Centered Course): École Polytechnique
    • Computer Communications: University of Colorado System
    • Essential Design Principles for Tableau: University of California, Davis
    • Introduction to Structured Query Language (SQL): University of Michigan
    • Applied Text Mining in Python: University of Michigan
    • Introduction to Python Programming: University of Pennsylvania
    • Fundamentals of Social Media Advertising: Meta

    Why Learn Data Analytics?

    Data analytics is the process of examining raw data to find trends, patterns, and actionable insights. It’s a key driver in business, healthcare, finance, and technology, helping organizations make informed decisions. Learning data analytics can equip you with tools for solving problems, measuring outcomes, and creating value in a data-driven world.

    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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