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    Results for "data analysis"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Version Control, Other Programming Languages, Query Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Large Language Modeling, Data Literacy, Data Mining, Artificial Intelligence, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, ChatGPT, Deep Learning, Data Strategy, Business Strategy, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, Artificial Intelligence, OpenAI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Workflow Management, Deep Learning, Business Transformation, Artificial Neural Networks, Digital Transformation, Automation, Machine Learning, Application Deployment, Governance, IBM Cloud, Business Technologies, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Analysis with Pandas and Python

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Integrated Development Environments, Development Environment, Software Installation, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Exploratory Data Analysis with MATLAB

      Skills you'll gain: Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Science, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      813 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Data Structures

      Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Import/Export, Data Manipulation, Development Environment, File Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      97K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Ask Questions to Make Data-Driven Decisions

      Skills you'll gain: Spreadsheet Software, Stakeholder Communications, Dashboard, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Data Presentation, Business Analysis, Expectation Management, Quantitative Research, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in R with RStudio & Tidyverse

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Cloudera

      Foundations for Big Data Analysis with SQL

      Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, Operational Databases, Data Management, Virtual Machines, Data Storage, Virtualization and Virtual Machines, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Visualization, Data Presentation, Data Storytelling, Sampling (Statistics), Prompt Engineering, Presentations, Graphing, Data Ethics, Excel Formulas, Data Analysis, Oral Expression, Artificial Intelligence

      4.9
      Rating, 4.9 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Using Python to Access Web Data

      Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, Data Access, TCP/IP, Python Programming, Scripting, Hypertext Markup Language (HTML), Data Capture, Text Mining

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44K reviews

      Beginner · Course · 1 - 3 Months

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    1…91011…423

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

    • Tools for Data Science: IBM
    • IBM AI Foundations for Business: IBM
    • AI Foundations for Everyone: IBM
    • Foundations of Data Analysis with Pandas and Python: Packt
    • Exploratory Data Analysis with MATLAB: MathWorks
    • Process Data from Dirty to Clean: Google
    • Python Data Structures: University of Michigan
    • Ask Questions to Make Data-Driven Decisions: Google
    • Data Analysis in R with RStudio & Tidyverse: Codio
    • Foundations for Big Data Analysis with SQL: Cloudera

    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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