Data Science

Statistics with Python Specialization

(0 reviews)
Share icon
Coursera With GroupifyAI

Modern and Practical Statistical Thinking for All. Utilize Python for statistical visualization, inference, and modeling.

Key AI Functions:Python Programming, Statistical inference methods, Data Visualization, Statistical Model

Description for Statistics with Python Specialization

  • Utilize the Python programming language and its corresponding packages and libraries to generate and analyze data visualizations.
  • Apply and interpret inferential procedures when analyzing actual data.
  • Utilize statistical modeling techniques to analyze data, including linear and logistic regression, linear models, multilevel models, and Bayesian inference techniques.
  • Comprehend the significance of linking research queries to data analysis methods.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by University of Michigan

    Duration: 1 month at 10 hours a week

    Schedule: Flexible

    Reviews for Statistics with Python Specialization

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Statistics with Python Specialization

    This program will provide you with the competencies necessary to execute real-time updates, develop interactive data visualizations, and refine your data analysis and presentation skills utilizing Python.

    #data visualization #python
    Visit icon

    A program that emphasizes the practical implementation of data science and machine learning to overcome obstacles through the use of Python.

    #machine learning #data ingestion
    Visit icon

    For the purpose of accounting data analytics, the course educates students on the application and optimization of machine learning models in Python.

    #python programming #machine learning model evaluation and optimization
    Visit icon

    Examine the development and deployment of interactive Python data applications, with a particular emphasis on Recommender Systems and the use of Python web frameworks to deploy and monitor machine learning models.

    #python programming #big data products
    Visit icon

    This course provides practical experience with machine learning through case studies, concentrating on applying approaches across domains and laying the groundwork for deeper understanding of models and algorithms.

    #python programming #machine learning concepts
    Visit icon

    In a nutshell, this concentration helps business professionals get ready for the CDSP exam by teaching them how to put data science knowledge to use in real-world scenarios.

    #anomaly detection #machine learning
    Visit icon

    This Specialization refines Python competencies for predictive analytics and the implementation of machine learning models, equipping learners for advanced positions in the AI sector.

    #predictive analytics #python programming
    Visit icon

    The goal of this course is to provide professionals with the necessary data science abilities in MATLAB so that they can carry out practical activities in businesses that rely heavily on data without having to learn extensive programming.

    #Feature engineering #matlab
    Visit icon

    This course offers a structured Python introduction for individuals who are not majoring in computer science. The course concentrates on data analysis and visualization, with practical, cross-disciplinary applications.

    #python programming #numpy
    Visit icon
    icon
    Paid

    FormulaGenerator, an AI-driven toolset, simplifies the creation and understanding of intricate Excel formulas and automations, with features including formula development, Google Sheets integration, and an AnswersBot for comprehensive spreadsheet inquiries.

    #IT #hr
    Visit icon