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    Results for "data analysis"

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Security in Google Cloud

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Distributed Denial-Of-Service (DDoS) Attacks, Prompt Engineering, Kubernetes, Cloud Security, Containerization, OAuth, Cloud Storage, Cloud Services, Application Deployment, Virtual Machines, Security Controls, Cloud Computing, Application Development, Data Storage Technologies, Threat Management, Virtual Private Networks (VPN)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Exploratory vs Confirmatory data analysis using Python

      Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Pennsylvania

      Introduction to Finance and Accounting

      Skills you'll gain: Financial Statements, Return On Investment, Financial Statement Analysis, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Working Capital, Balance Sheet, Accrual Accounting, Cash Flows, Income Statement, Finance, Accounting, Financial Analysis, Tax Planning, Equities, Financial Planning, Business Valuation, Corporate Finance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      The Power of Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Data Literacy, Statistical Inference, Probability, Statistical Software, Statistical Programming, A/B Testing, Sample Size Determination, Jupyter, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      780 reviews

      Advanced · Course · 1 - 3 Months

    • I

      IBM

      Data Visualization with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Graphing, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis in R: Predictive Analysis with Regression

      Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      761 reviews

      Advanced · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      323 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Meta

      Meta Front-End Developer

      Skills you'll gain: Jest (JavaScript Testing Framework), Version Control, UI/UX Research, Usability Testing, Responsive Web Design, Data Structures, Unix Commands, HTML and CSS, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, User Interface and User Experience (UI/UX) Design, Bootstrap (Front-End Framework), React.js, Mobile Development, Front-End Web Development, Algorithms, Javascript

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Object-Oriented Data Structures in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Engineering Software, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Health Informatics

      Skills you'll gain: Health Informatics, Health Technology, Change Management, Vendor Management, Health Policy, Health Care, Process Improvement, Workflow Management, Health Care Administration, Healthcare Industry Knowledge, Health Information Management, Clinical Leadership, Organizational Change, Decision Support Systems, Solution Design, IT Management, Clinical Data Management, Health Systems, Project Management, Databases

      4.4
      Rating, 4.4 out of 5 stars
      ·
      891 reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to data analysis

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    1…252627…814

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

    • Data Science for Professionals: Coursera Instructor Network
    • Security in Google Cloud: Google Cloud
    • Exploratory vs Confirmatory data analysis using Python: Coursera Project Network
    • Introduction to Finance and Accounting: University of Pennsylvania
    • The Power of Statistics: Google
    • Data Visualization with R: IBM
    • Data Analysis in R: Predictive Analysis with Regression: Coursera Project Network
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Survival Analysis in R for Public Health: Imperial College London
    • Meta Front-End Developer: Meta

    Frequently Asked Questions about Data Analysis

    Coursera’s Data Analysis courses equip learners with essential analytical skills to interpret and make sense of data:

    • Fundamental and advanced techniques for data collection, cleaning, and preprocessing.
    • Statistical analysis and quantitative reasoning to derive insights from data.
    • Use of major data analysis tools and software, including Python, R, SQL, and Excel.
    • Data visualization skills to represent data effectively and communicate findings.
    • Predictive analytics to forecast trends and behaviors using historical data.
    • Application of data analysis skills in various industries like healthcare, marketing, finance, and technology.‎

    Data Analysis courses on Coursera are accessible to learners with varying levels of experience:

    • Beginners can start with courses that introduce basic data analysis concepts and tools.
    • Intermediate learners can enhance their skills with more detailed studies in specific areas such as statistical modeling or machine learning.
    • Advanced users can deepen their expertise with complex data analytics projects and applications.‎

    Upon completing Data Analysis courses, learners can earn credentials that may support their career development:

    • Professional certificates that may indicate proficiency in data analysis tools and techniques.
    • Specializations that cover in-depth topics in data analysis, enhancing both knowledge and practical skills.
    • Certificates that can be recognized by employers in fields that rely heavily on data-driven decision-making.‎

    Proficiency in data analysis can open doors to diverse career paths across multiple sectors:

    • Data Analyst, interpreting data sets to help guide business decisions.
    • Business Intelligence Analyst, using data to inform strategy and business practices.
    • Market Research Analyst, analyzing data to understand market trends and consumer preferences.
    • Operations Analyst, using data to optimize business operations and increase efficiency.
    • Financial Analyst, employing analytical techniques to assess financial data and predict future trends.‎

    Looking to enhance your team's data analysis skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data analysis training options and make a purchase, please visit our Coursera for Teams page.‎

    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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