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    • Statistics For Data Science

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    1350 results for "statistics for data science"

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      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Statistical Analysis

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Artificial Neural Networks, Computer Programming, Deep Learning, Econometrics, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming

      4.4

      (200 reviews)

      Beginner · Course · 1-4 Weeks

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      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Business Process Management, Data Management, Data Structures, Statistical Programming, Strategy and Operations, Data Analysis, Database Application, Databases, Entrepreneurship, Extract, Transform, Load, Linear Algebra, Mathematics, Probability & Statistics, Probability Distribution, Python Programming, Business Psychology, Computer Programming, Data Engineering, Data Science, General Statistics, Leadership and Management, Machine Learning, Organizational Development, Problem Solving, Research and Design

      4.3

      (146 reviews)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Mathematics, Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Calculus, Machine Learning, Theoretical Computer Science, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Differential Equations, Econometrics, General Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Analysis

      4.5

      (233 reviews)

      Beginner · Specialization · 1-3 Months

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      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: SQL, Data Management, Statistical Programming, Apache, Big Data, Databases, Data Analysis, Data Analysis Software, Extract, Transform, Load, Data Warehousing, Machine Learning, Basic Descriptive Statistics, Computer Programming, Data Science, Exploratory Data Analysis, General Statistics, Leadership and Management, Probability & Statistics, Python Programming, Statistical Analysis

      4.6

      (15.4k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Tools for Data Science

      Skills you'll gain: Computer Programming Tools, Data Analysis Software, Data Structures, Machine Learning Software, Software Visualization, Python Programming, Statistical Programming, Data Visualization Software, R Programming, Data Science, Devops Tools, Machine Learning Algorithms, SPSS, Computer Programming, Machine Learning

      4.5

      (26k reviews)

      Beginner · Course · 1-4 Weeks

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      University of Colorado Boulder

      Vital Skills for Data Science

      Skills you'll gain: Data Management, Data Visualization, Databases, PostgreSQL, SQL, Security Engineering, Statistical Programming, Business Analysis, Critical Thinking, Cyberattacks, Research and Design, Strategy and Operations, Algorithms, Business Psychology, Cryptography, Culture, Decision Making, Entrepreneurship, Human Resources, Leadership and Management, Security Strategy, Theoretical Computer Science, Applied Mathematics, Communication, Computer Science, Data Science, Problem Solving, Software Engineering

      4.5

      (58 reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution

      4.4

      (105 reviews)

      Intermediate · Course · 1-3 Months

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      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: General Statistics, Probability & Statistics, Bayesian Statistics, Probability Distribution, Python Programming

      3.4

      (49 reviews)

      Beginner · Specialization · 1-3 Months

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      University of California, Irvine

      Use Tableau for Your Data Science Workflow

      Skills you'll gain: Data Visualization, Data Analysis, Interactive Data Visualization, Statistical Visualization, Business Analysis, Communication, Data Analysis Software, Design and Product, Exploratory Data Analysis, Human Computer Interaction, Plot (Graphics), Probability & Statistics, Storytelling, User Experience, User Research, Python Programming

      3.9

      (14 reviews)

      Beginner · Specialization · 1-3 Months

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      University of Colorado Boulder

      Algebra and Differential Calculus for Data Science

      Skills you'll gain: Mathematics, Calculus, Algebra, Differential Equations, Theoretical Computer Science, Graph Theory, Mathematical Theory & Analysis, Probability & Statistics, Probability Distribution, Accounting, Algorithms, Big Data, Computer Programming, Corporate Accouting, Data Analysis, Data Management, Data Mining, Data Model, Data Structures, Design and Product, Entrepreneurship, Finance, Investment Management, Leadership and Management, Problem Solving, Product Design, Programming Principles, Research and Design, Software Architecture, Software Engineering

      4.4

      (104 reviews)

      Intermediate · Course · 1-3 Months

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      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Statistical Programming, R Programming, Data Management, Data Visualization, Theoretical Computer Science, Plot (Graphics), Extract, Transform, Load, General Statistics, Machine Learning, Probability & Statistics, Data Analysis, Business Analysis, Computer Programming, Econometrics, Programming Principles, Regression, Databases, Software Architecture, Software Engineering, Spreadsheet Software, Advertising, Communication, Computational Logic, Data Mining, Data Structures, Entrepreneurship, Experiment, Exploratory Data Analysis, Leadership and Management, Marketing, Mathematics, Natural Language Processing, Problem Solving, Research and Design, Statistical Tests

      4.5

      (78 reviews)

      Beginner · Specialization · 3-6 Months

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

    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Learn SQL Basics for Data Science: University of California, Davis
    • Tools for Data Science: IBM Skills Network
    • Vital Skills for Data Science: University of Colorado Boulder
    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • Use Tableau for Your Data Science Workflow: University of California, Irvine

    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.‎

    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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