Data Science Practice Exams
How well do you know the most in-demand data science and analytics tools and techniques? Test your data science skills with practice problems and exam questions.Discover a plethora of online exams that will test your current knowledge and ability to solve data science problems. Evaluate your skills online at no cost with SQL mock tests, Excel and NumPy exam questions, and more.
Whether you’re studying for an exam, preparing for an interview, or looking to check your knowledge level, our data science practice exams will ensure you’re up to the task. Timed to simulate a real-life experience, the data science test questions verify your theoretical understanding and technical skills.
Identify areas for improvement to enhance your skills, critical thinking, and problem-solving abilities—bringing you closer to achieving your goals.
Data Visualization with Tableau
Head of 365 Data Science Course Creation- Elitsa Kaloyanova, brings you this free practice exam in Data Visualization with Tableau where you are asked to be the survey conductor for a top market researcher company. Based on the survey results, you are required to use Tableau to answer the data visualization practice questions related to the overall trends observed throughout the year and the factors behind them.
Learn MoreExplore our top data science practice exams, recommended by our students and expert team of instructors—free to download.
Introduction to Data Science Disciplines
The term “Data Science” dates back to the 1960s, to describe the emerging field of working with large amounts of data that drives organizational growth and decision-making. While the essence has remained the same, the data science disciplines have changed a lot over the past decades thanks to rapid technological advancements. In this free introduction to data science practice exam, you will test your understanding of the modern day data science disciplines and their role within an organization.
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Intrо to Machine Learning
State-of-the-art machine learning algorithms have opened a whole new realm of possibilities for businesses to optimize their processes and create new product/service features, that maximize competitive advantages. Used in recommendation systems, fraud detection, spam filtering, self-driving cars, to name a few, these advanced algorithms are only getting more popular by the day. Take this free machine learning practice exam and test your knowledge on supervised, unsupervised and reinforcement machine learning, and their applications.
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Excel Basics
Ever since its first release in 1985, Excel continues to be the most popular spreadsheet application to this day- with approximately 750 million users worldwide, thanks to its flexibility and ease of use. No matter if you are a data scientist or not, knowing how to use Excel will greatly improve and optimize your workflow. Therefore, in this free Excel Basics practice exam you are going to work with a dataset of a company in the Fast Moving Consumer Goods Sector as an aspiring data analyst and test your knowledge on basic Excel functions and shortcuts.
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Useful Tools in Excel
What Excel lacks in data visualization tools compared to Tableau, or computational power for analyzing big data compared to Python, it compensates with accessibility and flexibility. Excel allows you to quickly organize, visualize and perform mathematical functions on a set of data, without the need for any programming or statistical skills. Therefore, it is in your best interest to learn how to use the various Excel tools at your disposal. This practice exam is a good opportunity to test your excel knowledge in the text to column functions, excel macros, row manipulation and basic math formulas.
Learn MoreMost Popular Practice Exams
Explore our top data science practice exams, recommended by our students and expert team of instructors—free to download.
Introduction to Data Science Disciplines
The term “Data Science” dates back to the 1960s, to describe the emerging field of working with large amounts of data that drives organizational growth and decision-making. While the essence has remained the same, the data science disciplines have changed a lot over the past decades thanks to rapid technological advancements. In this free introduction to data science practice exam, you will test your understanding of the modern day data science disciplines and their role within an organization.
Learn MoreIntrо to Machine Learning
State-of-the-art machine learning algorithms have opened a whole new realm of possibilities for businesses to optimize their processes and create new product/service features, that maximize competitive advantages. Used in recommendation systems, fraud detection, spam filtering, self-driving cars, to name a few, these advanced algorithms are only getting more popular by the day. Take this free machine learning practice exam and test your knowledge on supervised, unsupervised and reinforcement machine learning, and their applications.
Learn MoreExcel Basics
Ever since its first release in 1985, Excel continues to be the most popular spreadsheet application to this day- with approximately 750 million users worldwide, thanks to its flexibility and ease of use. No matter if you are a data scientist or not, knowing how to use Excel will greatly improve and optimize your workflow. Therefore, in this free Excel Basics practice exam you are going to work with a dataset of a company in the Fast Moving Consumer Goods Sector as an aspiring data analyst and test your knowledge on basic Excel functions and shortcuts.
Learn MoreUseful Tools in Excel
What Excel lacks in data visualization tools compared to Tableau, or computational power for analyzing big data compared to Python, it compensates with accessibility and flexibility. Excel allows you to quickly organize, visualize and perform mathematical functions on a set of data, without the need for any programming or statistical skills. Therefore, it is in your best interest to learn how to use the various Excel tools at your disposal. This practice exam is a good opportunity to test your excel knowledge in the text to column functions, excel macros, row manipulation and basic math formulas.
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