Practice Exams
Sharpen your skills with practice exams that test how well you know the most in-demand data science tools and techniques.A selection of practice exams that will test your current data science knowledge. Identify key areas of improvement to strengthen your theoretical preparation, critical thinking, and practical problem-solving skills so you can get one step closer to realizing your professional goals.
Data Visualization with ggplot2
Former computational biologist turned data scientist Elitsa Kaloyanova, created this data visualization practice test where you are accepted as the new data analyst intern in the largest bank in the UK. As your responsibility to guide the finance team in the process of data interpretation, your knowledge on the R programming language and the ggplot2 library are going to be tested in these data visualization with ggplot2 test questions.
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Intro to Data Visualization
This free Intro to Data Visualization practice exam is designed by the head of 365 Data Science content creation- Elitsa Kaloyanova. These data visualization practice questions revolve around the data base of a well-known supermarket chain, where you as the data analyst, are tasked with the job to boost sales and meet customer needs better. Your ability to choose the right visualization tool, discover meaningful insights and guide business strategy accordingly will be put to the test.
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Data Manipulation with NumPy
In the case of this Data Manipulation with NumPy practice test created by Data Analytics Instructor Victor Mehandziyski you have decided to revise your knowledge on data preprocessing with NumPy by taking last year’s exam. You are required to answer the questions on this free practice exam that are going to put your data manipulation skills to the test- like substituting missing values in NumPy Ndarrays, sorting them and reordering data in a specific way.
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Statistics with NumPy
In this free Statistics with NumPy practice exam assessment created by Professional Financial Analyst and 365 Data Science Instructor Victor Mehandziyski you are a data analytics student who wishes to put his knowledge into practice. These set of NumPy exam questions are going to quiz your knowledge on statistical functions in NumPy- like finding the minimal or maximum values, identifying the median, and the correlation or covariance between rows.
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Generalizing Data with NumPy
365 Data Science Content Creator Viktor Mehandziyski created this Generalizing Data with NumPy practice test where funnily enough, you are an aspiring data analyst who is required to pass a Python exam to proceed with the course. These free NumPy practice exam is going to test your ability to generate arrays of random and non-random data and creating arrays to solve classic statistical problems.
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NumPy Fundamentals
365 Data Science Instructor Viktor Mehandziyski created this free practice exam on NumPy Fundamentals where you are going to help two computer science students with their upcoming coursework by taking some sample exams. As you help them with revision, the NumPy questions are going to test your understanding of how to perform basic functions with arrays- like slicing, assigning values and determining dimensions.
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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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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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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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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.
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Check out our most helpful downloadable resources according to 365 Data Science students and our expert team of instructors.
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 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 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 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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