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    • Statistics For Data Science
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    Results for "statistics for data science"

    • Status: Free
      Free

      Coursera Project Network

      Overview of Data Visualization

      Skills you'll gain: Data Presentation, Data Synthesis, Data Storytelling, Data Visualization Software, Google Sheets, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      398 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Amazon Web Services

      AWS Cloud Technology Consultant

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Amazon CloudWatch, AWS CloudFormation, Software Development Life Cycle, CI/CD, Amazon Web Services, Professional Networking, IT Automation, Cloud Computing, Amazon S3, Extract, Transform, Load, DevOps, Data-Driven Decision-Making, Software Architecture, Cloud Computing Architecture, Amazon DynamoDB, Cloud Infrastructure, Web Applications, Leadership Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • University of Washington

      Business English Communication Skills

      Skills you'll gain: Negotiation, Proposal Writing, Presentations, Verbal Communication Skills, Persuasive Communication, Event Planning, Business Writing, Peer Review, Business Planning, Business Correspondence, Meeting Facilitation, Communication Strategies, Public Speaking, Professional Networking, Data Visualization, Setting Appointments, Communication, Writing, Business Communication, Rapport Building

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Descriptive Statistics, Statistical Visualization, Sampling (Statistics), Statistical Process Controls, Statistics, Statistical Hypothesis Testing, Systems Analysis, R Programming, Data Analysis, Quality Control, Probability, Box Plots, Systems Of Measurement, Statistical Methods, Regression Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), Computational Thinking, Predictive Modeling, Data Cleansing, Data Visualization Software, Visualization (Computer Graphics), Data Structures, Debugging, NumPy, Data Manipulation, Regression Analysis, Data Analysis, Python Programming, Algorithms, Simulations, Statistical Methods, Program Development, Data Science, Object Oriented Programming (OOP)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      65 reviews

      Beginner · Specialization · 3 - 6 Months

    • Google

      Connect and Protect: Networks and Network Security

      Skills you'll gain: Network Security, Hardening, Network Protocols, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Network Infrastructure, Firewall, Cloud Computing, Virtual Private Networks (VPN)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Biostatistics in Public Health

      Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Histogram, Box Plots, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Inference, Probability Distribution, Scientific Methods, Data Analysis, Probability & Statistics, Advanced Analytics, Statistical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • University of California San Diego

      Big Data Integration and Processing

      Skills you'll gain: Apache Spark, PySpark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • IIMA - IIM Ahmedabad

      Leadership Skills

      Skills you'll gain: Leadership, Organizational Change, Organizational Leadership, Team Leadership, Change Management, Leadership and Management, Business Leadership, Business Ethics, Strategic Leadership, Self-Awareness, Personal Development, Decision Making, Emotional Intelligence, Influencing, Communication, Relationship Building

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Cleansing, Data Storytelling, Data Collection, Data Visualization Software, Data Manipulation, Data Access, Python Programming, Exploratory Data Analysis, Algorithms, Web Scraping, Unstructured Data, Text Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • Meta

      Advanced Data Modeling

      Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Star Schema, Database Management, Database Architecture and Administration, Tableau Software, Business Analytics, Analytics, SQL, Data Analysis, Data Visualization Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      102 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Data Science as a Field

      Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, General Networking

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics for data science

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    1…424344…834

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

    • Overview of Data Visualization: Coursera Project Network
    • AWS Cloud Technology Consultant: Amazon Web Services
    • Business English Communication Skills: University of Washington
    • Data Science Methods for Quality Improvement: University of Colorado Boulder
    • Programming for Python Data Science: Principles to Practice: Duke University
    • Connect and Protect: Networks and Network Security: Google
    • Biostatistics in Public Health: Johns Hopkins University
    • Big Data Integration and Processing: University of California San Diego
    • Leadership Skills: IIMA - IIM Ahmedabad
    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan

    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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