Welcome to this course "Data Statistics with Full Stack Python" where you can easily understand by the name that you are going to study data statistics with the tint touch of full stack Python. The topics are discussed in this course step by step. For this course, you will require no prior knowledge or experience, just a willingness to learn.
In this course you are going to learn about the fundamentals of Python like:
You are going to learn these topics in detail. You will be introduced with some new topics like NumPy, Pandas, inferential statistics, z score, sampling, PDF, Probability theory, and some detailed discussion with maths. You are also going to learn hypothesis testing like null and alternative hypothesis, Matplotlib, Seaborn, Case Study, Seaborn on Time Series Data and many other topics. Moreover, you are also going to learn about data sourcing in a maximized manner, univariate analysis, bivariate analysis, simple linear regression and loan analysis project.
If you want to make a career in data science, software developer or any programming enthusiast, you can learn this course.
Students who are pursuing Computer science, or interested in learning Pandas, NumPy can take this course too.
This course discussed all the topics along with its practical implementation making you an expert in the domain.
Anyone from any background can take up this course as it is designed in such a way that even a newbie in the domain can learn the course without any barrier. You will be given lifetime access to this course and a certificate too. This course will provide you with a strong base and you will get many job opportunities as Data Statistics and Python both are highly demanded by these IT industries nowadays. So, what are you waiting for? Take this course and start learning.
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