Top 10 Data Science Courses to Choose After Completing School

Top 10 Data Science Courses to Choose After Completing School
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Data science courses are providing a deep understanding and hands-on experience to candidates

Data science has created a plethora of job opportunities for aspiring data scientists and many more professions in recent years. Students and working professionals are highly interested to have a strong understanding of different aspects and elements of data science. They constantly look for online courses with 100% placement in reputed companies from different institutions offering courses on data science.

Courses on data science are providing a sufficient and deep understanding of all key concepts and hands-on experience with real-life projects to candidates. Let's explore some of the top data science courses that you can choose after completing school.

This trending data science course from Coursera is determined to teach how to store and process data efficiently with sophisticated data structures and algorithms, design algorithms, analyze complexity, create applications, as well as a strong understanding of fundamental concepts for algorithmic searching and sorting.

One of the top courses on data science at Coursera to build a successful career in data science. This trending data science course helps to develop hands-on experience with Jupyter, Python, SQL, Watson Studio, GitHub, and many more. The curriculum includes data structures, invoking APIs, statistical analysis, relational database fundamentals, and so on.

Simplilearn is offering one of the popular online data science courses to be an expert in data analytics with R. The data analytics course covers data exploration, predictive analytics, descriptive analytics, data visualization, data structures in R, cluster analysis, and many more with ten real-life industry projects.

The Columbia Engineering Data Analytics Boot Camp is one of the top trending data science courses in this field. This course on data science consists of tools and technologies like Python, API interactions, fundamental statistics, machine learning, real-life projects, front-end web visualization, and many more.

Udemy offers one of the popular trending data science courses through 64 sections and 488 lectures. The course for data professionals consists of complete data science training through the entire toolbox, pre-process data, coding in Python, statistical analysis, and many more to gain more understanding of data science.

Udemy offers one of the top trending data science courses with 28 sections and 218 lectures for data professionals. This data analytics course helps to learn real analytics examples through data mining, data modeling, Tableau visualization, and many more. The online course for data professionals covers statistical software, interpreting coefficients of MLR, Chi-Squared statistical test, and many more.

One of the popular courses for data professionals is offered by edX for the introduction to the basics of R programming. The curriculum of this online data science course consists of functions of R and data types, basic syntax, operations on vectors, advanced functioning, and many more.

This data analytics course at Coursera is offered by Johns Hopkins University to help data professionals perform regression analysis, regression models, prediction functions, and many more. The course on data science consists of five courses such as statistical inference, regression models, practical machine learning, developing data products, and data science capstone.

One of the top online data science courses at Simplilearn offers a strong understanding of Python's data analytics tools and techniques. This course for data professionals covers data wrangling, mathematical computing, data visualization, web scraping, and many more.

One of the top trending data science courses at Coursera helps to launch a successful career in data science to implement applications and use cases through multiple data science tools, data science problems, SQL statements, and many more.

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