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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

    • S

      Salesforce

      Salesforce Sales Operations

      Skills you'll gain: Sales Pipelines, Sales Process, Sales Operations, Customer Success Management, Order Management, Sales Management, Salesforce, Dashboard, Sales, Sales Development, Customer Relationship Management (CRM) Software, Lead Generation, Request For Quotation (RFQ), Sales Support, Sales Enablement, Customer Relationship Management, Product Knowledge, B2B Sales, Campaign Management, Data Visualization

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Introduction to Data Protection and Privacy

      Skills you'll gain: General Data Protection Regulation (GDPR), Personally Identifiable Information, Governance Risk Management and Compliance, Information Privacy, Data Governance, Data Security, Cybersecurity, Data Management, Data Storage, Cyber Risk, Data Processing, Data Access, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Functional Programming in Scala

      Skills you'll gain: Scala Programming, Apache Spark, Apache Hadoop, User Interface (UI), Distributed Computing, Programming Principles, Big Data, Software Design, Data Structures, Software Design Patterns, Functional Design, Data Manipulation, Object Oriented Programming (OOP), Interactive Data Visualization, Computer Programming, Data Processing, Real Time Data, Visualization (Computer Graphics), Performance Tuning, Algorithms

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

      Intermediate · Specialization · 3 - 6 Months

    • I

      IMD - International Institute for Management Development

      Sustainability for Business: ESG Fundamentals

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Business Ethics, Compliance Management, Sustainability Reporting, Environmental Management Systems, Stakeholder Management, Governance, Stakeholder Engagement, Leadership, Risk Management, Business Strategy, Organizational Change, Simulation and Simulation Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Lean Methodologies, Data Collection, Process Improvement, Quality Improvement, Process Optimization, Lean Six Sigma, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Michigan State University

      Photography Basics and Beyond: From Smartphone to DSLR

      Skills you'll gain: Design Elements And Principles, Photography, Photo Editing, Peer Review, Graphic and Visual Design, Post-Production, Photo/Video Production and Technology, Digital Design, File Management, Adobe Creative Cloud, Creativity, Color Theory, Storytelling, Content Creation, Writing, Information Privacy, Web Design and Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      D

      Duke University

      Data Science with R

      Skills you'll gain: Data Ethics, Version Control, Ggplot2, R Programming, Web Scraping, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Integrity, Data Import/Export, Data Collection, Data Cleansing, Data Quality, Data Presentation, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Understanding Einstein: The Special Theory of Relativity

      Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Mechanics, Mathematical Modeling, Systems Of Measurement

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Building AI Powered Chatbots Without Programming

      Skills you'll gain: IBM Cloud, Private Cloud, Data Loss Prevention, WordPress, Generative AI Agents, Artificial Intelligence, Application Development, Natural Language Processing, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Museum of Modern Art

      Seeing Through Photographs

      Skills you'll gain: Photography, Culture, Art History, Aesthetics, Media and Communications, Social Studies, Cultural Diversity, Journalism, Storytelling, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • S

      SkillUp EdTech

      Power BI Data Analyst Prep

      Skills you'll gain: Data Storytelling, Dashboard, Power BI, Interactive Data Visualization, Analytics, Data Analysis, Data Modeling, Data Visualization Software, Data Analysis Expressions (DAX), Star Schema, Data Cleansing, Data Transformation, Data Import/Export, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

    Statistics For Data Science learners also search

    Statistics for Data Analysis
    Statistics
    R Statistics
    Python for Statistics
    Data Modeling
    Applied Statistics
    Beginner Statistics
    Statistics Projects
    1…646566…834

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

    • Salesforce Sales Operations: Salesforce
    • Introduction to Data Protection and Privacy: Coursera Instructor Network
    • Functional Programming in Scala: École Polytechnique Fédérale de Lausanne
    • Sustainability for Business: ESG Fundamentals: IMD - International Institute for Management Development
    • Six Sigma Yellow Belt: Kennesaw State University
    • Photography Basics and Beyond: From Smartphone to DSLR: Michigan State University
    • Data Science with R: Duke University
    • Understanding Einstein: The Special Theory of Relativity: Stanford University
    • Building AI Powered Chatbots Without Programming: IBM
    • Seeing Through Photographs: The Museum of Modern Art

    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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