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    Results for "statistics"

    • Fred Hutchinson Cancer Center

      Write Smarter with Overleaf and LaTeX

      Skills you'll gain: Collaborative Software, GitHub, Technical Writing, Technical Support, Version Control, Document Management, Technical Documentation, Typography

      4.3
      Rating, 4.3 out of 5 stars
      ·
      130 reviews

      Beginner · Course · 1 - 4 Weeks

    • Packt

      Mathematical Foundations and Quantum Mechanics Essentials

      Skills you'll gain: Applied Mathematics, Mathematics and Mathematical Modeling, Linear Algebra, Probability, Mathematical Modeling, Computer Science, Algebra, Probability & Statistics, Statistics, Physics, Mechanics, Emerging Technologies

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      Simplilearn

      Affiliate Marketing Course

      Skills you'll gain: Promotional Strategies, Marketing Channel, Email Marketing, Product Promotion, Content Marketing, Marketing Strategies, Social Media Marketing, Marketing, Blogs, Strategic Partnership, Trend Analysis, Performance Analysis, Marketing Analytics, Web Analytics and SEO, Market Trend, Relationship Building

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      Corporate Finance Institute

      Practical Data Science for Data Analysts

      Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Advanced · Specialization · 3 - 6 Months

    • Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • University of Colorado Boulder

      Data Analysis with Python

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Machine Learning, Analytics, Scikit Learn (Machine Learning Library), Predictive Modeling, Statistical Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Classification And Regression Tree (CART), Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Feature Engineering, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 3 - 6 Months

    • University of California, Irvine

      The Nature of Data and Relational Database Design

      Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Management Systems, SQL, Descriptive Statistics, Data Literacy, Statistics, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      101 reviews

      Beginner · Course · 1 - 4 Weeks

    • Codio

      Data Analysis in R with RStudio & Tidyverse

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • EIT Digital

      The Impact of Technology

      Skills you'll gain: Technology Roadmaps, Technology Strategies, Business Strategy, Forecasting, Innovation, Emerging Technologies, Strategic Decision-Making, Trend Analysis, Business Transformation, Network Analysis, Competitive Analysis, Market Dynamics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 3 Months

    • SkillUp EdTech

      ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

      Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Lean Manufacturing, Six Sigma Methodology, Regression Analysis, Statistical Methods, Statistics, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Process Optimization, Process Management, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming

      Mixed · Course · 1 - 4 Weeks

    Searches related to statistics

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    statistics for data science
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    statistics foundations
    statistics and data analysis with excel, part 1
    statistics in psychological research
    1…545556…105

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

    • Write Smarter with Overleaf and LaTeX: Fred Hutchinson Cancer Center
    • Mathematical Foundations and Quantum Mechanics Essentials: Packt
    • Affiliate Marketing Course: Simplilearn
    • Practical Data Science for Data Analysts: Corporate Finance Institute
    • Data Analysis for Managerial Decision-Making: Rice University
    • Data Analysis with Python: University of Colorado Boulder
    • The Nature of Data and Relational Database Design: University of California, Irvine
    • Data Analysis in R with RStudio & Tidyverse: Codio
    • Applying Python for Data Analysis: Coursera Instructor Network
    • The Impact of Technology: EIT Digital

    Frequently Asked Questions about Statistics

    Statistics courses on Coursera can help equip you with analytical skills and mathematical knowledge to effectively interpret data:

    • Understanding of statistical theory, including probability, distributions, and hypothesis testing.
    • Skills in applying statistical methods to real-world problems across various industries.
    • Proficiency in using statistical software tools like R, Python, or SPSS to analyze and visualize data.
    • Techniques for designing experiments and surveys to collect data efficiently.
    • Knowledge of regression analysis, ANOVA, and other statistical models.
    • Insights into big data analytics, including machine learning algorithms driven by statistical principles.
    • Application of statistics in specialized fields such as biostatistics, econometrics, or psychological statistics.‎

    Statistics courses on Coursera are designed to accommodate learners at different stages of their educational or professional journey:

    • Introductory courses are suitable for those new to statistics, offering foundational knowledge and basic application skills.
    • Intermediate courses build upon basic statistics knowledge, introducing more complex analyses and applications.
    • Advanced courses cater to individuals with a solid background in statistics, focusing on specialized topics or advanced analytical techniques. ‎

    Coursera provides various educational pathways to help validate your skills in statistics:

    • Professional certificates that can help you demonstrate your competence in statistical analysis.
    • Specialized course certificates that focus on particular aspects of statistics, such as data science or predictive analytics.
    • Degree programs and professional qualifications that prepare you for roles involving extensive use of statistics.

    These credentials are intended to enhance your professional qualifications and assist you in advancing your career in fields reliant on statistical analysis.‎

    Studying statistics on Coursera can prepare you for a variety of roles in data-intensive sectors:

    • Data Analyst: Utilize statistical tools and methods to interpret data and inform business decisions.
    • Statistical Consultant: Provide expertise to organizations on statistical methods, data collection, and analysis.
    • Biostatistician: Apply statistics to biological sciences and public health.
    • Econometrician: Use statistical techniques to study economic data and trends.
    • Quality Control Analyst: Implement statistical methods to assess product quality and maintain standards.‎

    Yes, Coursera offers a variety of free courses across many topics, including statistics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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