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    • Beginner Data Analysis

    Beginner Data Analysis Courses Online

    Learn beginner data analysis techniques using tools like Excel and Python. Understand how to clean, analyze, and visualize data for insights.

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    Explore the Beginner Data Analysis Course Catalog

    • I

      IBM

      IBM IT Project Manager

      Skills you'll gain: Stakeholder Engagement, Software Development Life Cycle, Agile Software Development, Project Management Life Cycle, Resource Management, Risk Management, Peer Review, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Team Motivation, Kanban Principles, Project Schedules, Development Environment, Project Management Institute (PMI) Methodology, Information Technology, Sprint Retrospectives, Interviewing Skills, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Meta

      Introduction to Data Management

      Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      90 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Applied Data Science with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Wrangling, Dashboard, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Leaflet (Software), Database Management, Data Manipulation, R Programming, Web Scraping

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Meta React Native

      Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, User Research, UI/UX Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface and User Experience (UI/UX) Design, Mobile Development, Design Research, Cross Platform Development, React.js, Web Development Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Beginner · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Generative AI Automation

      Skills you'll gain: ChatGPT, Ideation, Verification And Validation, Generative AI, Document Management, Creative Thinking, Image Analysis, Data Capture, Artificial Intelligence, OpenAI, Data Analysis, Organizational Skills, Risk Management Framework, Computer Vision, Productivity Software, Microsoft Excel, Creativity, Data Ethics, Information Management, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Exploratory Data Analysis, Pandas (Python Package), NumPy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      Tableau Learning Partner

      Data Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Tableau Software, Data Presentation, Tree Maps, Heat Maps, Pivot Tables And Charts, Data Manipulation, Scatter Plots, Histogram, Data Mapping, Trend Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      116 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM IT Support

      Skills you'll gain: Cloud Computing Architecture, Technical Support, Cloud Services, Peripheral Devices, Cybersecurity, Computing Platforms, Hardware Troubleshooting, IT Service Management, Cloud Security, Cloud Infrastructure, Desktop Support, System Support, Network Protocols, Encryption, Software Development Life Cycle, Professional Networking, Cloud Storage, Information Technology, Cloud Computing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      J

      Johns Hopkins University

      COVID-19 Contact Tracing

      Skills you'll gain: Interviewing Skills, Infection Control, Rapport Building, Interpersonal Communications, Epidemiology, Data Ethics, Community Outreach, Infectious Diseases, Investigation, Patient Assistance, Case Management, Medical Science and Research, Ethical Standards And Conduct, Risk Analysis, Medical Terminology, Emerging Technologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      95K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Psychological First Aid

      Skills you'll gain: Triage, Crisis Intervention, Rapport Building, Emergency Response, First Aid, Interpersonal Communications, Community Mental Health Services, Mental Health, Stress Management, Patient Referral, Risk Analysis

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

      Mixed · Course · 1 - 3 Months

    • S

      SkillUp EdTech

      Tableau Data Analyst Certification Preparation

      Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Peer Review, Data Presentation, Data Visualization Software, Presentations, Interactive Data Visualization, Data Visualization, Data Cleansing, Business Intelligence, Real Time Data, Data Manipulation, Data Quality, Data Transformation, Data Sharing, Verbal Communication Skills, Data Integration, SQL Server Integration Services (SSIS), Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Advanced · Specialization · 3 - 6 Months

    • P

      PwC

      Problem Solving with Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Analysis Expressions (DAX), Data Validation, Complex Problem Solving, Statistical Analysis, Financial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 4 Weeks

    Beginner Data Analysis learners also search

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    1…262728…834

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

    • IBM IT Project Manager: IBM
    • Introduction to Data Management: Meta
    • Applied Data Science with R: IBM
    • Meta React Native: Meta
    • Generative AI Automation: Vanderbilt University
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Data Visualization with Tableau: Tableau Learning Partner
    • IBM IT Support: IBM
    • COVID-19 Contact Tracing: Johns Hopkins University
    • Psychological First Aid: Johns Hopkins University

    Frequently Asked Questions about Beginner Data Analysis

    Beginner data analysis is a foundational level course or skill that focuses on teaching individuals how to collect, clean, organize, interpret, and visualize data. It introduces learners to key concepts and techniques in data analysis, such as data exploration, data manipulation, and basic statistical analysis. Throughout the course, individuals will gain hands-on experience with popular data analysis tools and software, such as Excel or Python, and learn how to apply these tools to real-world datasets. By mastering beginner data analysis, learners can develop the necessary skills to understand and draw insights from data, laying a strong foundation for more advanced data analysis techniques and applications.‎

    To begin your journey in Data Analysis, there are several key skills that you should focus on learning:

    1. Mathematics and Statistics: A solid understanding of mathematical concepts such as algebra, probability, and calculus is essential for data analysis. Additionally, knowledge of statistics, including descriptive and inferential statistics, will help you analyze and interpret data accurately.

    2. Programming Language: Learning a programming language like Python or R is crucial for data analysis. These languages offer various libraries and tools that simplify data manipulation, analysis, and visualization.

    3. SQL: SQL (Structured Query Language) is commonly used for querying and managing large datasets in databases. Familiarity with SQL will enable you to retrieve, filter, and aggregate data efficiently.

    4. Data Visualization: As a data analyst, you need to be able to communicate your findings effectively. Learning data visualization tools like Tableau, Power BI, or Matplotlib will help you create visually appealing and insightful graphs, charts, and dashboards.

    5. Excel: Proficiency in Microsoft Excel is essential for data manipulation, analysis, and reporting. Understanding functions, pivot tables, and data cleaning techniques in Excel will prove beneficial throughout your data analysis journey.

    6. Data Cleaning and Preprocessing: Real-world datasets are often messy and incomplete. Acquiring skills in data cleaning and preprocessing techniques will enable you to handle missing data, remove outliers, and transform data into a usable format for analysis.

    7. Critical Thinking and Problem-Solving: Data analysis requires logical reasoning and the ability to think critically. Developing analytical thinking skills will help you ask the right questions, solve complex problems, and draw meaningful insights from data.

    Remember, data analysis is a continuous learning process, so remaining curious, adaptable, and committed to building your knowledge base will facilitate your growth in this field.‎

    With Beginner Data Analysis skills, you can start exploring entry-level roles such as Data Analyst, Junior Data Scientist, Business Intelligence Analyst, Data Engineer, and Market Research Analyst. These roles will allow you to gain practical experience in collecting, cleaning, analyzing, and presenting data, providing valuable insights to decision-makers in various industries. As you continue to develop your skills, you can progress to more advanced positions and specialize in areas such as data visualization, machine learning, or predictive analytics.‎

    Beginner Data Analysis is best suited for individuals who have a strong interest in working with data and are curious about uncovering insights and patterns. This course is ideal for those who enjoy problem-solving, critical thinking, and have a basic understanding of mathematics. Additionally, individuals who are detail-oriented, have good analytical skills, and are comfortable with technology will excel in studying Beginner Data Analysis.‎

    Here are some topics related to Beginner Data Analysis that you can study:

    1. Introduction to Data Analysis
    2. Statistics for Data Analysis
    3. Data Visualization
    4. Data Cleaning and Preprocessing
    5. Exploratory Data Analysis
    6. Introduction to Python/R for Data Analysis
    7. SQL for Data Analysis
    8. Introduction to Machine Learning for Data Analysis
    9. Data Analysis in Excel
    10. Introduction to Tableau for Data Analysis

    These topics will provide you with a strong foundation in the field of Beginner Data Analysis and equip you with the necessary skills to perform data analysis tasks effectively.‎

    Online Beginner Data Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Beginner data analysis is a foundational level course or skill that focuses on teaching individuals how to collect, clean, organize, interpret, and visualize data. It introduces learners to key concepts and techniques in data analysis, such as data exploration, data manipulation, and basic statistical analysis. Throughout the course, individuals will gain hands-on experience with popular data analysis tools and software, such as Excel or Python, and learn how to apply these tools to real-world datasets. By mastering beginner data analysis, learners can develop the necessary skills to understand and draw insights from data, laying a strong foundation for more advanced data analysis techniques and applications. skills. Choose from a wide range of Beginner Data Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Beginner Data Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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