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    • Statistics

    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • P

      Packt

      Deep Learning with Keras and Practical Applications

      Skills you'll gain: Keras (Neural Network Library), Image Analysis, Exploratory Data Analysis, Deep Learning, Data Processing, Artificial Neural Networks, Computer Vision, Applied Machine Learning, Predictive Modeling, Data Import/Export, Pandas (Python Package), Classification And Regression Tree (CART), Matplotlib, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      كيفية إنشاء قناة في تحليلات فيسبوك

      Skills you'll gain: Marketing Channel, Marketing Effectiveness, Sales Strategy, Sales Process, Facebook, Sales, Marketing, Lead Generation, Campaign Management, Marketing Analytics, Web Analytics

      Beginner · Guided Project · Less Than 2 Hours

    • L

      LearnQuest

      Teradata: Building Analytics Systems

      Skills you'll gain: Exploratory Data Analysis, Teradata SQL, JSON, Data Integration, Advanced Analytics, Data Cleansing, Text Mining, Data Quality, Data Analysis, Statistical Analysis, Application Programming Interface (API), Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Creating Derived Tables Using LookML

      Skills you'll gain: Looker (Software), Database Development, Database Design, Data Modeling, SQL, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Customer Analytics and Insights with JUNE

      Skills you'll gain: Product Improvement, Customer Insights, Customer Analysis, Generative AI, Customer Data Management, Marketing Analytics, Web Analytics, Analytics, Management Reporting, Product Management, Data Analysis, Data Collection, Dashboard, Performance Metric

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Nouvelles approches pour mesurer la santé de la population

      Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Sampling (Statistics), Health Informatics, Health Disparities, Health Information Management, Data Integration, Continuous Monitoring

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • H

      H2O.ai

      H2O Driverless AI Starter Course

      Skills you'll gain: Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation, Exploratory Data Analysis, Data Analysis, Machine Learning, Supervised Learning, Interactive Data Visualization, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Network Implementations and Operations

      Skills you'll gain: Network Security, Network Administration, General Networking, Computer Networking, Network Monitoring, Computer Security, Wireless Networks, Network Infrastructure, Cybersecurity, Authentications, Disaster Recovery, Zero Trust Network Access, Telecommunications, Cryptography, Network Routing, Network Protocols, Encryption

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Creating Tile-based Dashboard Alerts in Looker

      Skills you'll gain: Looker (Software), Dashboard, Interactive Data Visualization, Data Visualization, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • B

      Board Infinity

      AI-Driven Attribution Testing

      Skills you'll gain: A/B Testing, Artificial Intelligence, Statistical Modeling, Marketing Effectiveness, Ethical Standards And Conduct, Marketing Analytics, Predictive Modeling, Trend Analysis, Data Collection, Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Sending and Scheduling Looks in Looker

      Skills you'll gain: Looker (Software), Data Sharing, Data Visualization Software, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    Searches related to statistics

    statistics for data science
    statistics with r
    statistics for data science with python
    statistics with python
    statistics and data analysis with r
    statistics foundations
    statistics and data analysis with excel, part 1
    statistics in psychological research
    1…969798…106

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

    • Deep Learning with Keras and Practical Applications: Packt
    • كيفية إنشاء قناة في تحليلات فيسبوك: Coursera Project Network
    • Teradata: Building Analytics Systems: LearnQuest
    • Creating Derived Tables Using LookML: Google Cloud
    • GenAI for Customer Analytics and Insights with JUNE: Coursera Instructor Network
    • Nouvelles approches pour mesurer la santé de la population: Johns Hopkins University
    • Computational and Graphical Models in Probability: Johns Hopkins University
    • H2O Driverless AI Starter Course: H2O.ai
    • Network Implementations and Operations: Packt
    • Creating Tile-based Dashboard Alerts in Looker: Google Cloud

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

    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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