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  • Statistical Analysis

Statistical Analysis Courses

Statistical analysis courses can help you learn data collection methods, hypothesis testing, regression analysis, and data visualization techniques. You can build skills in interpreting results, making predictions, and drawing conclusions from data sets. Many courses introduce tools such as R, Python, and Excel, that support performing statistical computations and creating visual representations of data.


More to explore:

Popular Statistical Analysis Courses and Certifications


  • C

    Coursera

    Aprenda cómo buscar trabajo con Indeed

    Skills you'll gain: Job Analysis, Company, Product, and Service Knowledge, Recruitment, Talent Sourcing, Compensation Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • U

    University of Leeds

    Introduction to Technology-Assisted Decision-Making

    Skills you'll gain: Resource Allocation, Operations Research, Production Planning, Graph Theory, Data-Driven Decision-Making, Decision Making, Mathematical Modeling, Process Optimization, Network Planning And Design, Complex Problem Solving, Computational Logic, Algorithms, Linear Algebra, Cryptography

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Bipedalism: The Science of Upright Walking

    Skills you'll gain: Kinesiology, Human Musculoskeletal System, Scientific Methods, Exercise Science, Anthropology, Biology, Anatomy, 3D Assets, Research, Mechanics, Physiology, Laboratory Research, Human Development, Child Development, Visualization (Computer Graphics), Life Sciences, Spatial Data Analysis, Orthopedics, Scientific Visualization, Timelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Visualizing Billing Data with Google Data Studio

    Skills you'll gain: Google Cloud Platform, Data Presentation, Data Visualization Software, Data Import/Export, Big Data, Analytics, Cloud Computing

    Beginner · Project · Less Than 2 Hours

  • L

    Logical Operations

    Power BI: Data Cleaning, Transformation, and Visualization

    Skills you'll gain: Power BI, Data Transformation, Data Manipulation, Data Visualization Software, Data Cleansing, Data Visualization, Data Storytelling, Business Intelligence, Data Analysis, Data Analysis Software, Microsoft Excel, Data Quality, Exploratory Data Analysis, Query Languages, Microsoft PowerPoint, Microsoft 365, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Dynamic No-Code Apps

    Skills you'll gain: No-Code Development, User Centered Design, Mobile Development, Web Applications, User Interface (UI) Design, Experience Design, UI/UX Research, User Feedback, Functional Testing, Integration Testing, Root Cause Analysis

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced Data Structures and Algorithms

    Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    Precast & Advanced Pile Foundation

    Skills you'll gain: Construction Engineering, Structural Engineering, Building Codes, Construction Management, Engineering Practices, Civil Engineering, Structural Analysis, Engineering Design Process, Engineering Calculations, Engineering Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • P

    Pearson

    Hadoop and Spark Fundamentals

    Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Processing, Data Import/Export, Data Integration, Linux Commands, File Systems, Text Mining, Data Transformation, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Java, C++ (Programming Language)

    Intermediate · Specialization · 1 - 4 Weeks

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In summary, here are 10 of our most popular statistical analysis courses

  • Aprenda cómo buscar trabajo con Indeed: Coursera
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Introduction to Technology-Assisted Decision-Making: University of Leeds
  • Bipedalism: The Science of Upright Walking: Dartmouth College
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Visualizing Billing Data with Google Data Studio: Google Cloud
  • Power BI: Data Cleaning, Transformation, and Visualization: Logical Operations
  • Build Dynamic No-Code Apps: Coursera
  • Advanced Data Structures and Algorithms: Packt
  • Data Science Fundamentals Part 1: Unit 3: Pearson

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