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    • Statistics For Data Science

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    1356 results for "statistics for data science"

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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

      Essential Linear Algebra for Data Science

      Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Computer Graphic Techniques, Computer Graphics, Entrepreneurship, General Statistics, Leadership and Management, Probability & Statistics, Problem Solving, Research and Design

      4.6

      (80 reviews)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

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

      4.5

      (30 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      University of California, Davis

      SQL for Data Science Capstone Project

      Skills you'll gain: Basic Descriptive Statistics, Computer Programming, Data Analysis, Data Management, Databases, Exploratory Data Analysis, General Statistics, Leadership and Management, Probability & Statistics, Python Programming, SQL, Statistical Programming

      4.2

      (182 reviews)

      Intermediate · Course · 1-4 Weeks

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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

      (79 reviews)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Cybersecurity for Data Science

      Skills you'll gain: Security Engineering, Security Strategy, Cryptography, Cyberattacks, Theoretical Computer Science, Communication, Entrepreneurship, Problem Solving, Research and Design

      3.9

      (12 reviews)

      Beginner · Course · 1-3 Months

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      CFA Institute

      Statistics for Machine Learning for Investment Professionals

      Skills you'll gain: General Statistics, Probability & Statistics, Machine Learning, Data Analysis, Regression, Business Analysis, Computer Programming, Correlation And Dependence, Econometrics, Forecasting, Machine Learning Algorithms, Probability Distribution, Python Programming, R Programming, Statistical Analysis, Statistical Programming, Statistical Tests, Data Science

      4.7

      (26 reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

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

      4.5

      (86 reviews)

      Advanced · Course · 1-4 Weeks

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      Coursera Project Network

      AutoML tools for data science

      Skills you'll gain: Data Analysis, Exploratory Data Analysis, Interactive Data Visualization

      Beginner · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      IBM Data Analyst

      Skills you'll gain: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Application, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Database Administration, Econometrics, Interactive Data Visualization, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (62.5k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Application, Extract, Transform, Load, Computational Logic, Database Administration, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (53.7k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Analysis, Data Visualization, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Management, Data Analysis Software, Data Science, Plot (Graphics), Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Data Visualization Software, Statistical Visualization, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Accounting, Apache, Computer Programming, Extract, Transform, Load, Interactive Data Visualization, Leadership and Management, Operating Systems, Professional Development, System Programming

      4.7

      (15.1k reviews)

      Beginner · Specialization · 3-6 Months

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

    • Use Tableau for Your Data Science Workflow: University of California, Irvine
    • Essential Linear Algebra for Data Science: University of Colorado Boulder
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • SQL for Data Science Capstone Project: University of California, Davis
    • Tidyverse Skills for Data Science in R: Johns Hopkins University
    • Cybersecurity for Data Science: University of Colorado Boulder
    • Statistics for Machine Learning for Investment Professionals: CFA Institute
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • AutoML tools for data science: Coursera Project Network
    • IBM Data Analyst: IBM Skills Network

    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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