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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

    • Status: New
      New
      C

      Corporate Finance Institute

      Data Prep for Machine Learning in Python

      Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Data Analysis, Pandas (Python Package), Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis, Correlation Analysis

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Satellite Remote Sensing Data Bootcamp With Opensource Tools

      Skills you'll gain: Spatial Data Analysis, Geospatial Information and Technology, Geographic Information Systems, Spatial Analysis, GIS Software, Data Analysis Software, R Programming, Environmental Monitoring, Image Analysis, Open Source Technology, Data Processing, Data Manipulation, Data Transformation, Unsupervised Learning, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Analytics, ROI, and Evaluation

      Skills you'll gain: Marketing Analytics, Web Analytics, Google Analytics, Key Performance Indicators (KPIs), Marketing Effectiveness, Performance Measurement, Business Metrics, Performance Metric, Marketing Strategies, Digital Marketing, Data-Driven Decision-Making, Return On Investment, Analytics, Heat Maps, Customer Engagement

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Fundamentals of Oracle Database Performance Tuning

      Skills you'll gain: Oracle Databases, Performance Tuning, Operational Databases, SQL, Database Management, Database Architecture and Administration, System Monitoring

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Crafting AI Identities: Strategies & Ethical Considerations

      Skills you'll gain: AI Personalization, Data Ethics, Information Privacy, User Research, Persona (User Experience), Persona Development, Diversity and Inclusion, Experience Design, User Experience Design, Artificial Intelligence, Accountability, Human Centered Design, Ethical Standards And Conduct, Business Ethics, User Centered Design

      Intermediate · Course · 1 - 4 Weeks

    • C

      Codio

      Data Analysis in Python

      Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Visualization, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Data Science, Python Programming, Computational Logic

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Commencer avec Facebook Analytics

      Skills you'll gain: Facebook, Web Analytics, Event Management, Advertising, Marketing Analytics, Social Media Management, Social Media

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      S

      Simplilearn

      Strategies for Paid Campaigns

      Skills you'll gain: Google Analytics, Marketing Budgets, Pay Per Click Advertising, Digital Marketing, Paid media, Google Ads, Marketing Strategies, Digital Advertising, Campaign Management, Web Analytics, Online Advertising, Advertising Campaigns, Budget Management, Bidding, Marketing Analytics, Lead Generation, Facebook, Marketing Psychology, Consumer Behaviour, Persuasive Communication

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Mobile Marketing

      Skills you'll gain: HubSpot CRM, Customer Relationship Management, Marketing Automation, Online Advertising, Keyword Research, Promotional Strategies, Social Media Marketing, Advertising Campaigns, Marketing Strategies, Web Analytics, Customer Acquisition Management, Product Promotion, Search Engine Optimization, Performance Metric, Customer Engagement, Advertising

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Untersuchen und Erstellen von Daten für Unternehmen

      Skills you'll gain: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Minnesota

      Exploratory Analytics Project Ideation

      Skills you'll gain: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Data Analysis, Business Analytics, Analytics, Business Analysis, Unsupervised Learning, Anomaly Detection, Process Mapping, Tree Maps

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Product Reviews Text-based Search - OpenAI Text Embedding

      Skills you'll gain: Dimensionality Reduction, OpenAI, Application Development, Exploratory Data Analysis, Application Programming Interface (API), Scatter Plots, Text Mining, Python Programming, Natural Language Processing, Data Manipulation

      Intermediate · Guided Project · Less Than 2 Hours

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    1…979899…105

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

    • Data Prep for Machine Learning in Python: Corporate Finance Institute
    • Satellite Remote Sensing Data Bootcamp With Opensource Tools: Packt
    • Analytics, ROI, and Evaluation: Simplilearn
    • Fundamentals of Oracle Database Performance Tuning: Packt
    • Crafting AI Identities: Strategies & Ethical Considerations: Coursera Instructor Network
    • Data Analysis in Python: Codio
    • Commencer avec Facebook Analytics: Coursera Project Network
    • Strategies for Paid Campaigns: Simplilearn
    • Mobile Marketing: Simplilearn
    • Untersuchen und Erstellen von Daten für Unternehmen: University of Illinois Urbana-Champaign

    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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