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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.


Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Relational Database Administrator with GenAI

    Skills you'll gain: Data Engineering, Data Warehousing, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, Generative AI, Data Import/Export, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Scikit Learn (Machine Learning Library), Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    607 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Plotting, Charting & Data Representation in Python

    Skills you'll gain: Matplotlib, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package), Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    U

    Universitat Pompeu Fabra of Barcelona

    Audio Signal Processing for Music Applications

    Skills you'll gain: Digital Signal Processing, Music, Open Source Technology, Python Programming, Time Series Analysis and Forecasting, NumPy, Mathematical Modeling, Advanced Mathematics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    294 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universitat Autònoma de Barcelona

    English for Teaching Purposes

    Skills you'll gain: Lecturing, English Language, Verbal Communication Skills, Higher Education, Language Learning, Professional Development, Collaboration, Vocabulary, Train The Trainer, Grammar

    4.7
    Rating, 4.7 out of 5 stars
    ·
    630 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Automatic Data Processing, Inc. (ADP)

    ADP Entry-Level Payroll Specialist

    Skills you'll gain: Payroll, Payroll Administration, Payroll Processing, Payroll Reporting, Payroll Tax, Tax Management, Labor Compliance, Data Entry, Compensation Management, Compensation and Benefits, Human Resources Information System (HRIS), Non-Profit Accounting, Benefits Administration, Tax Compliance, Customer Service, Specialized Accounting, Reconciliation, Employee Engagement, Workforce Management, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    739 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    C# for .NET Developers

    Skills you'll gain: C# (Programming Language), ASP.NET, .NET Framework, Object Oriented Programming (OOP), Web Applications, Programming Principles, Web Development, Debugging, Event-Driven Programming, Development Environment

    4.1
    Rating, 4.1 out of 5 stars
    ·
    297 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California San Diego

    Biology Meets Programming: Bioinformatics for Beginners

    Skills you'll gain: Bioinformatics, Programming Principles, Python Programming, Computational Thinking, Biology, Data Structures

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Excel for Beginners: Beginner Functions

    Skills you'll gain: Spreadsheet Software, Microsoft Excel, Computer Literacy, Microsoft Office

    4.5
    Rating, 4.5 out of 5 stars
    ·
    79 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Marketing Science Certification Exam

    Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Social Media Marketing, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    222 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Decision Tree Learning, Data Ethics, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • IBM Relational Database Administrator with GenAI: IBM
  • Python per la Data Science: Università di Napoli Federico II
  • Inferential Statistics: University of Amsterdam
  • Applied Plotting, Charting & Data Representation in Python: University of Michigan
  • Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
  • English for Teaching Purposes: Universitat Autònoma de Barcelona
  • ADP Entry-Level Payroll Specialist: Automatic Data Processing, Inc. (ADP)
  • C# for .NET Developers: Board Infinity
  • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
  • Excel for Beginners: Beginner Functions: Coursera

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