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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Marketing e Data Science

      Skills you'll gain: Strategic Marketing, Marketing Analytics, Marketing Strategies, Digital Marketing, Marketing, Consumer Behaviour, Sales Strategy, Customer Analysis, Marketing Strategy and Techniques, Marketing Management, Data-Driven Decision-Making, Data Visualization Software, Customer Engagement, Market Analysis, Key Performance Indicators (KPIs), Data Analysis, Target Market, Time Series Analysis and Forecasting, E-Commerce, Performance Measurement

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      O

      Oracle

      Oracle Cloud Infrastructure Generative AI Professional

      Skills you'll gain: Large Language Modeling, Generative AI, ChatGPT, Oracle Cloud, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Programming Interface (API), Data Processing, Data Storage

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Empathy and Data in Risk Management

      Skills you'll gain: Risk Management, Enterprise Risk Management (ERM), Risk Mitigation, Risk Analysis, Operational Risk, Tableau Software, Data Visualization Software, Cybersecurity, Data-Driven Decision-Making, Dashboard, Heat Maps, Diversity Equity and Inclusion Initiatives, Persuasive Communication, Communication, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • C

      Corporate Finance Institute

      Analyzing Growth Drivers & Business Risks

      Skills you'll gain: Financial Analysis, Risk Analysis, Competitive Analysis, Market Analysis, Growth Strategies, Business Strategies, Business Analysis, Business Risk Management, Strategic Planning, Product Lifecycle Management

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Create a Record of Students using Abstraction in Java

      Skills you'll gain: Object Oriented Design, Object Oriented Programming (OOP), Java Programming, Java, Record Keeping

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Build an Automobile Listing Website with PHP

      Skills you'll gain: Web Development, PHP (Scripting Language), Web Design and Development, Content Management, Web Applications, HTML and CSS

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Erfolgreich Verhandeln: Strategien und Fähigkeiten

      Skills you'll gain: Negotiation, Contract Negotiation, Mediation, Conflict Management, Communication, Relationship Building, Influencing, Planning, Decision Making, Business Ethics, Cultural Diversity

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      NIIT

      Building High Quality User Experience Using Material UI

      Skills you'll gain: Cascading Style Sheets (CSS), UI Components, Front-End Web Development, User Interface and User Experience (UI/UX) Design, Web Design, React.js, Responsive Web Design, User Centered Design, Javascript

      1.7
      Rating, 1.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      Edureka

      Database Design and Operational Business Intelligence

      Skills you'll gain: Database Design, Power BI, Dashboard, Data Modeling, Business Intelligence, Microsoft SQL Servers, Transact-SQL, Relational Databases, Data Warehousing, Data Visualization Software, SQL, Business Analytics, Advanced Analytics, Data Integrity

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Construction Management Field Operations and Admin Tools

      Skills you'll gain: Construction Management, Construction Estimating, Project Controls, Construction, Project Schedules, Cost Estimation, Timelines, Scheduling, Administration, Change Orders, Project Management, Cost Control, Arbitration, Project Planning, Occupational Safety And Health, Project Documentation

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Manage Agile Workflows with Product Roadmaps in Miro

      Skills you'll gain: Product Roadmaps, Workflow Management, Agile Methodology, Product Management, Business Priorities, Collaborative Software, Product Strategy, Sprint Planning, Team Management, Business Metrics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Program Financial Planning with ClickUp

      Skills you'll gain: Program Management, Project Planning, Project Management Software, Innovation, Budget Management, Financial Planning, Process Flow Diagrams, Agile Methodology

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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    1…831832833834

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

    • Marketing e Data Science: Fundação Instituto de Administração
    • Oracle Cloud Infrastructure Generative AI Professional: Oracle
    • Empathy and Data in Risk Management: University of Illinois Urbana-Champaign
    • Analyzing Growth Drivers & Business Risks: Corporate Finance Institute
    • Create a Record of Students using Abstraction in Java: Coursera Project Network
    • Build an Automobile Listing Website with PHP: Coursera Project Network
    • Erfolgreich Verhandeln: Strategien und Fähigkeiten: University of Michigan
    • Building High Quality User Experience Using Material UI: NIIT
    • Database Design and Operational Business Intelligence: Edureka
    • Construction Management Field Operations and Admin Tools: University of Maryland, College Park

    Frequently Asked Questions about Statistics For Data Science

    Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.‎

    Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.‎

    Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.‎

    Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.‎

    Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistics for 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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