English | Size: 4.21 GB
Genre: eLearning
Learn Statistics from an industry expert (and even have fun 😉). You’ll learn by building 6 statistics-based projects and solidify your skills with 18 quizzes, practice tests, and challenges. Plus you’ll learn to utilize ChatGPT to work with statistics and conduct data analysis efficiently.
Course overview
We guarantee you this is the most up-to-date, comprehensive, and FUN way to learn Statistics with Python. This Statistics course is the key building block to launch your career in statistics-heavy fields like Data Analytics, Data Science, and A.I. Machine Learning.
WHAT YOU’LL LEARN
The skills to get hired in statistics-heavy fields like Data Analytics, Data Science, A.I., and Machine Learning
Learn the statistical concepts and skills needed for real-world jobs, including confidence intervals, hypothesis testing, multilinear regression, and cox proportional hazard regression
Learn to use Python from scratch to conduct statistical analysis (no prior knowledge required!)
Learn how to use ChatGPT to work with statistics, clean datasets, and to conduct data analysis more efficiently
Test your knowledge with more than 10 quizzes and practice tests
Build your skills with 6 capstone statistics-based projects including a Virtual Escape Room, Surviving Titanic, and more
Participate in case studies to understand how statistics have real-world impacts
Step-by-step guidance from an industry professional
Why learn Statistics with Python?
Whether you realize it or not…statistics is everywhere around you!
Everything is probabilities and relationships. Statistics is the science and art of collecting, analyzing, interpreting, and presenting data on those probabilities and relationships.
At its core, it aims to derive meaningful insights and make informed decisions based on the data, often amidst the inherent uncertainty and variability.
But perhaps more importantly, it’s important for a huge array of jobs.
Businesses, governments, and organizations frequently use statistics to make decisions, and with the help of statistical tools one can predict future trends, which is essential in fields like finance, economics, and meteorology.
Plus statistics is the foundation for careers in tech like:
Data Analyst
Data Scientist
A.I. Machine Learning Engineer
And even non-tech careers like Economists and Financial Analysts!
In fact, there is such a high demand for those with a deep understanding of how to work with statistics that you can even get hired as a pure Statistician that designs surveys, interprets data, and provides insights.
rapidgator.net/file/d3fc7295a8d21d505721f594f69494bd/StatisticsBootcampwithPython-ZerotoMastery.part1.rar.html
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