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10 Best Statistics Courses on Coursera

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This specialization program is especially dedicated to statistics. In this program, you will learn basic and intermediate concepts of statistical analysis using the Python programming language. In this program, you will learn the following topics- where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. Along with that, you will work on a variety of assignments that will help you to check your knowledge and ability. This specialization program is a 3-course series. Let's see the details of the courses-


10 Mathematics for Data Science Free Courses You Must Know in 2022

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Knowledge of Mathematics is essential to understand the data science basics. So if you want to learn Mathematics for Data Science, this article is for you. In this article, you will find the 10 Best Mathematics for Data Science Free Courses. For these courses, You don't need to pay a single buck. Now, without any further ado, let's get started- This is a completely FREE course for beginners and covers data visualization, probability, and many elementary statistics concepts like regression, hypothesis testing, and more.


12 Best Free Online Courses for Data Science for Beginners in 2021

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This is one of the Best Online Courses for Machine Learning. This course is created by Andrew Ng the Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University. This Course provides you a broad introduction to machine learning, data-mining, and statistical pattern recognition. All the math required for Machine Learning is well discussed in this course. This course uses the open-source programming language Octave. Octave gives an easy way to understand the fundamentals of Machine Learning.


15 Best Data Science Programs Online in 2022- [Free Programs Included]

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This is a completely free course and a good first step towards understanding the data analysis process. In this course, you will learn the entire data analysis process including posing a question, data wrangling, exploring the data, drawing conclusions, and communicating your findings. This course will also teach Python libraries NumPy, Pandas, and Matplotlib.