Udemy – Python Mastery for Data, Statistics & Statistical Modeling 2023-11 – Downloadly

Description

Python Mastery for Data Statistics and Statistical Modeling Course. Immerse yourself in the world of data science and statistical modeling with our comprehensive Python for Data Science and Statistical Modeling course. Whether you’re a beginner or looking to improve your skills, this course provides a structured path to mastering Python for data science and exploring the fascinating world of statistical modeling.

Module 1: Python Fundamentals for Data Science

Dive into the fundamentals of Python for data science and learn the fundamentals that will form the foundation of your data journey.

• Session 1: Introduction to Python and Data Science
• Session 2: Python Syntax and Control Flow
• Session 3: Data Structures in Python
• Session 4: Introduction to Numpy and Pandas for data manipulation

Module 2: Basics of Data Science with Python

Explore the core components of data science with Python, including exploratory data analysis, visualization, and machine learning.

• Session 5: Exploratory data analysis with Pandas and Numpy
• Session 6: Data visualization with Matplotlib, Seaborn and Bokeh
• Session 7: Introduction to Scikit-Learn for Machine Learning in Python

Module 3: Mastering Probability, Statistics and Machine Learning

Gain comprehensive knowledge of probability, statistics, and their seamless integration with Python’s powerful machine learning capabilities.

• Session 8: The difference between probability and statistics
• Session 9: The theory of sets and probability models
• Session 10: Random variables and distribution
• Eleventh session: Expectation, variance and moments

Module 4: Practical statistical modelling with Python

Apply your understanding of probability and statistics to build statistical models and explore their real-world applications.

• The twelfth session: Probability and statistical modeling in Python
• Session 13: Estimation techniques and maximum likelihood estimation
• Session 14: Logistic Regression and KL Divergence
• Session 15: Combining Probability, Statistics and Machine Learning in Python

Module 5: Statistical modelling made easy

Simplify statistical modeling with Python, including summary statistics, hypothesis testing, correlation, and more.

• Session 16: An overview of summary statistics in Python
• Session 17: Introduction to Hypothesis Testing
• Session 18: Null Hypothesis and Alternative with Python
• Session 19: Correlation and Covariance in Python

Module 6: Implementation of statistical models

Learn about implementing statistical models with Python, including linear regression, multiple regression, and custom models.

• Session 20: Linear Regression and Coefficients
• Session 21: Correlation Testing in Python
• Session 22: Multiple Regression and F-Test
• Session 23: Building custom statistical models with Python algorithms

Module 7: Capstone projects and real-world applications

Test your skills with practical projects, case studies and real-world applications.

• Session 24: Small projects integrating Python, data science and statistics
• Session 25: Case Study 1: Real-world applications of statistical models
• Session 26: Case Study 2: Python-based Data Analysis and Visualization

Module 8: Conclusion and next steps

End your journey with a summary of key concepts and guidance for advancing your data science career.

• Session 27: Summary and recap of key concepts
• Session 28: Continuing the learning path in Data Science and Python

Join us on this transformative learning adventure where you will gain the skills and knowledge you need in data science, statistical modeling, and Python. Enroll now and start your journey to data-driven success!

Who will take this lesson?

• Budding data scientists
• Data analysts
• Economic analysts
• Students pursuing a career in data-related fields
• Anyone interested in using Python for data insights

Why this course?

In today’s data-driven world, knowledge of Python and statistical modeling are highly sought-after skills. This course will give you the knowledge and hands-on experience you need to excel in data analysis, visualization, and modeling using Python. Whether you’re starting your career, looking to expand your current role, or just exploring the world of data, this course will give you the foundation you need.

What you will learn in the Python Mastery for Data Statistics & Statistical Modeling course

This course is suitable for people who

• Beginners in Python and Data Science
• Python enthusiasts who want to apply data analysis skills
• Budding data scientists seek a solid foundation
• Professionals who want to improve their skills in statistical modeling

Details about the Python Mastery for Data Statistics & Statistical Modeling course.

• Editor: Udemy
• Lecturer: AI Science
• Training level: beginner to advanced
• Training duration: 28 hours and 7 minutes
• Number of courses: 267

Course topics “Python mastery for data statistics and statistical modeling”.

Prerequisites for the course “Python Mastery for Data Statistics & Statistical Modeling”.

• No previous knowledge or experience is required. Everything is explained using absolute basics.

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