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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

    • B

      Berklee

      The Business of Music Production

      Skills you'll gain: Music, Contract Negotiation, Musical Composition, Intellectual Property, Lawsuits, Peer Review, Music History, Active Listening, Legal Proceedings, Constructive Feedback, Law, Regulation, and Compliance, Ethical Standards And Conduct, Instrumental Music, Legal Strategy, Media Production, Professional Networking, Music Theory, Post-Production, Digital Assets, Business Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Applying Python for Data Analysis

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Business Analytics, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Finding, Sorting, & Filtering Data in Microsoft Excel

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Analysis Expressions (DAX), Business Intelligence, Data Entry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      422 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Duke University

      Managing Big Data with MySQL

      Skills you'll gain: Database Design, MySQL, Relational Databases, SQL, Data Modeling, Databases, Business Analytics, Big Data, Business Analysis, Data Analysis, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Mixed · Course · 1 - 3 Months

    • R

      Rutgers the State University of New Jersey

      Supply Chain Analytics

      Skills you'll gain: Demand Planning, Competitive Intelligence, Strategic Sourcing, Competitive Analysis, Procurement, Market Intelligence, Purchasing, Supplier Management, Supply Chain, Inventory Management, Supply Management, Vendor Management, Management Consulting, Data Collection, Inventory Control, Business Consulting, Supply Chain Management, Inventory Control Systems, Forecasting, Supplier Performance Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Positive Psychology: Martin E. P. Seligman’s Visionary Science

      Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Human Development, Creativity

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fractal Analytics

      Fractal Data Science

      Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Exploratory Data Analysis, Feature Engineering, Interactive Data Visualization, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Applied Machine Learning, Problem Solving, Data Modeling, Machine Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      338 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Cloud Computing

      Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Network Architecture, Data Storage Technologies, Computer Networking, File Systems, Apache Hadoop, Network Infrastructure, Cloud Applications, Infrastructure As A Service (IaaS), Middleware, Software-Defined Networking, Data Store, NoSQL, Cloud Platforms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Operational Excellence, Statistical Analysis, Process Analysis, Process Mapping, Correlation Analysis, Business Process Management, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Computational Logic, Probability, Sampling (Statistics), Persuasive Communication, Research, Writing, Statistics, Scientific Methods, Oral Expression, Correlation Analysis, Interpersonal Communications, Interactive Learning, Learning Strategies, Instructional Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Generative AI: Elevate Your Data Science Career

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, Large Language Modeling, Data Storytelling, Data Modeling, Data Presentation, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      177 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Python Packages for Data Science

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Data Import/Export, Package and Software Management, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      71 reviews

      Intermediate · Course · 1 - 4 Weeks

    Statistics For Data Science learners also search

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

    • The Business of Music Production: Berklee
    • Applying Python for Data Analysis: Coursera Instructor Network
    • Finding, Sorting, & Filtering Data in Microsoft Excel: Coursera Project Network
    • Managing Big Data with MySQL: Duke University
    • Supply Chain Analytics: Rutgers the State University of New Jersey
    • Positive Psychology: Martin E. P. Seligman’s Visionary Science: University of Pennsylvania
    • Fractal Data Science: Fractal Analytics
    • Cloud Computing: University of Illinois Urbana-Champaign
    • Six Sigma Green Belt: Kennesaw State University
    • Introduction to Logic and Critical Thinking: Duke University

    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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