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    Results for "applied data science"

    • T

      Tableau Learning Partner

      Data Ecosystem

      Skills you'll gain: Data Governance, Data Ethics, Data Warehousing, Extract, Transform, Load, Data Quality, Data Management, Tableau Software, Data Lakes, Data Architecture, Data Storage, Data Infrastructure, Databases, Business Intelligence, Data Integrity, Spreadsheet Software, Database Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      CertNexus

      CertNexus Certified Ethical Emerging Technologist

      Skills you'll gain: Crisis Management, Data Ethics, Governance, Business Ethics, Strategic Leadership, Media Relations, Strategic Thinking, Communication Strategies, Business Leadership, Accountability, Ethical Standards And Conduct, Emerging Technologies, Organizational Leadership, Public Relations, Risk Management, Operational Risk, Strategic Communication, Scheduling, Learning Strategies, Test Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      545 reviews

      Beginner · Professional Certificate · 3 - 6 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

    • Status: Free
      Free
      Y

      Yale University

      Understanding Medical Research: Your Facebook Friend is Wrong

      Skills you'll gain: Research Design, Statistical Methods, Descriptive Statistics, Research Methodologies, Scientific Methods, Clinical Research, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.1K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Applied Machine Learning, Machine Learning, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Cleaning in Excel: Techniques to Clean Messy Data

      Skills you'll gain: Data Analysis, Data Cleansing, Microsoft Excel, Data Manipulation, Data Quality, Excel Formulas, Real Time Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      M

      Microsoft

      Work Smarter with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Data Visualization, Spreadsheet Software, Microsoft 365, Productivity Software, Data Analysis Software, Data Import/Export, Data Management, File Management

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

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Data Science Teams

      Skills you'll gain: Generative AI, Data Ethics, Innovation, Data Integration, Data Modeling, Data Quality, Data Science, Data-Driven Decision-Making, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Automation, Predictive Modeling

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      Unilever

      Unilever Supply Chain Data Analyst

      Skills you'll gain: Data Governance, Descriptive Analytics, Data Storytelling, Supply Chain, Data Presentation, Supply Chain Management, Demand Planning, Presentations, Data Visualization, Supply Chain Systems, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Process Improvement, Data Management, Data Lakes, Predictive Analytics, Forecasting, Data Analysis, Data Analysis Software, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      340 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      I

      IBM

      Generative AI: Enhance your Data Analytics Career

      Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, ChatGPT, Artificial Intelligence, Data Ethics, Data Visualization Software, SQL, Python Programming, Data Processing, Data Cleansing, Query Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Functional Design, Data Structures, Algorithms, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      M

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to applied data science

    applied data science capstone
    applied data science with python
    applied data science with r
    1…575859…820

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

    • Data Ecosystem: Tableau Learning Partner
    • CertNexus Certified Ethical Emerging Technologist: CertNexus
    • Hadoop Platform and Application Framework: University of California San Diego
    • Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Data Cleaning in Excel: Techniques to Clean Messy Data: Coursera Project Network
    • Work Smarter with Microsoft Excel: Microsoft
    • GenAI for Data Science Teams: Coursera Instructor Network
    • Unilever Supply Chain Data Analyst: Unilever
    • Generative AI: Enhance your Data Analytics Career : IBM

    Frequently Asked Questions about Applied Data Science

    People who are best suited for working in data science have a strong mix of technical skills and complex problem-solving skills. Beyond the job-related skills, people should have strong critical reasoning abilities, which are needed to help them analyze data and solve problems. Creativity, attention to detail, and strong communication skills allow data scientists to translate their analytical findings into actions that business leaders and decision-makers can take. Because this field continues evolving, people in data science should also be enthusiastic about learning new things and willing to constantly expand their skills.‎

    Are you passionate about using data to solve complex problems? Do you enjoy working in both the business and technology fields? Do you have a thirst for learning new things? If you can answer yes to any or all of those questions, learning data science may well be an ideal course for you. Additionally, if you're looking for a field that's in high demand and applicable to a variety of potential positions, it's hard to top data science. It's among the fastest-growing fields, and by 2026 it's predicted to create more than 11 million new jobs, according to the Bureau of Labor Statistics.‎

    Data science opens up a variety of potential career paths, including data scientist, machine learning engineer, data architect, and business intelligence developer. Most people who work in data science start with entry-level jobs like junior data scientist or data analyst after earning a bachelor's degree in computer science or a related field. Some people work their way up from entry-level jobs. Others pursue certifications or trainings specific to systems. To access the largest pool of opportunities, you might want to get a master's or doctoral degree in information technology or computer science.‎

    Data scientists work in a variety of industries, including big tech companies like Google and IBM, financial organizations, pharmaceutical companies, retailers, and even fashion houses. Data scientists work on many different types of jobs, which makes their work valuable to many different types of industries. For example, data scientists might work in fraud identification, market analysis, or manufacturing analysis. Or they might work on projects that task them with analyzing large amounts of data and putting it into reports and dashboards to help stakeholders better understand the significance. Data science can be helpful for marketing, sales, and so much more.‎

    Online Applied Data Science courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Data Science skills. With a wide range of Applied Data Science classes, you can conveniently learn at your own pace to advance your Applied Data Science career skills.‎

    When looking to enhance your workforce's skills in Applied Data Science, 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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