Top  Free Data Science Course By Google 2023

•  What is Data Science  ?

Data Science is the filed of Computer Where Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results.

Data science is used to study data in four main ways such as :

1. Descriptive analysis

2.Diagnostic analysis

3.Predictive analysis  

Growth in Demand for Data Science

Data science is a rapidly growing field, and the demand for data science skills and expertise is expected to continue to increase in the coming years.

. Due to the fact that traditional methods of data analysis cannot handle such enormous volumes of data, this expansion has led to an increase in the importance of data science. To effectively use data science techniques like machine learning and big data analytics, Data science is a fast expanding profession, and in the upcoming years, need for data science skills and knowledge is anticipated to rise even further. The exponential growth of data in recent years has been astounding.

•  Hear are the Top  Free Data Science Course By Google 2023

1. Basic of Machine Learning : 

Machine learning is a formidable new tool with limitless potential, whether it's used to provide movie recommendations or assist researchers in discovering novel treatments. In the videos for the Understanding the basics of machine learning course, we'll examine what these technologies are and how to use them to build organizations.

2. Data- Science With Python :

Students who complete this Data Science with Python curriculum will have a solid understanding of the methods and tools used in data analysis. Learning Python can assist you in developing your skills in data analysis, visualization, NumPy, SciPy, web scraping, and NLP. Anyone wishing to start their career as a data scientist today should check into this curriculum.

3 . Machine Learning Crash Course : 

Through a series of courses that feature interactive visualizations of algorithms in operation, real-world case studies, materials developed expressly for ML beginners, and video lectures from Google experts, this course covers the principles of machine learning. With coding exercises that guide you through deploying models in TensorFlow, an open-source machine intelligence library, you can quickly put new concepts into practice as you learn them.

4 . Data Science : 

In the subject of data science, tools and algorithms are used to extract information from both organised and unstructured data. technological advancements You will receive a thorough introduction to the data science and analytics world in this course. You will have a thorough understanding of the data science life cycle and all its fundamentals.

5 . Python Basic By Data- Analytics 

You will learn the fundamentals of the Python programming language in this course, with a focus on using it for data analysis. We'll look at how to utilize programming logic to make your programmed do what you want, how to use and write functions to speed up programmed writing, and how to arrange and categories information in your programmed by data type.

THANK YOU !!