Here is 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 towards realizing your professional goals.

Practice Examspython

Jupyter Notebook Shortcuts

In this free practice exam you are an experienced university professor in Statistics who is looking to upskill in data science and has joined the data science apartment. As on of the most popular coding environments for Python, your colleagues recommend you learn Jupyter Notebook as a beginner data scientist. Therefore, in this quick assessment exam you are going to be tested on some basic theory regarding Jupyter Notebook and some of its shortcuts which will determine how efficient you are at using the environment.

Jupyter is a free, open-source interactive web-based computational notebook. As one of the most popular coding environments for Python and R, you are inevitably going to encounter Jupyter at some point in you data science journey, if you have not already. Therefore, in this free practice exam you are a professor of Applied Economics and Finance who is learning how to use Jupyter. You are going to be tested on the very basics of the Jupyter environment like how to set up the environment and some Jupyter keyboard shortcuts.

The Black Scholes formula is one of the most popular financial instruments used in the past 40 years. Derived by Fisher, Black Myron Scholes and Robert Merton in 1973, it has become the primary tool for derivative pricing. In this free practice exam, you are a finance student whose Applied Finance is approaching and is asked to perform the Black-Scholes-Merton formula in Python by working on a dataset containing Tesla’s stock prices for the period between mid-2010 and mid-2020.

In a heavily regulated industry like fintech, simplicity and efficiency is key. Which is why Python is the preferred choice for programming language over the likes of Java or C++. In this free practice exam you are a university professor of Applied Economics and Finance, who is focused on running regressions and applying the CAPM model on the NASDAQ and The Coca-Cola Company Dataset for the period between 2016 and 2020 inclusive. Make sure to have the following packages running to complete your practice test: pandas, numpy, api, scipy, and pyplot as plt.

Python has become the ideal programming language for the financial industry, as more and more hedge funds and large investment banks are adopting this general multi-purpose language to solve their quantitative problems. In this free practice exam on Python Finance, you are part of the IT team of a huge company, operating in the US stock market, where you are asked to analyze the performance of three market indices. The packages you need to have running are numpy, pandas and pyplot as plt.

KNN is a popular supervised machine learning algorithm that is used for solving both classification and regression problems. In this free practice exam, this is exactly what you are going to be asked to do, as you are required to create 2 datasets for 2 car dealerships in Jupyter Notebook, fit the models to the training data, find the set of parameters that best classify a car, construct a confusion matrix and more.

In this free For Loops in Python practice exam by Python expert and instructor Giles McMullen-Klein, you have just started working as a junior software engineer at Challenger. Your job is to improve the automatization of the supply and distribution processes by using the Python programming language. These Python practice problems are going to test your coding abilities as you are asked to help the company with implementing for-loops, executing conditional statements, and estimating daily sales of certain products.

The free Strings & Conditionals practice exam is made by famous YouTube Python Programmer and teacher Giles McMullen-Klein. In this practice case, you are a first year Software Engineer who is taking his end-of-year exam, where you are required to use the relevant Python techniques to pass. This set of Python programming practice questions is going to test your foundations in printing functions, conditional expression execution and indexing in string slicing.

In this free Intro to Stacks and Matplotlib Visualization practice exam by Oxford physics graduate and experienced Python programmer Giles McMullen-Klein, you are the software engineer for a scientific research agency. Your task is to conduct research on the relationship between innovative eye-tracking technology and voting behavior in the USA, therefore these Python practice exercises are going to test your coding skills and ability to visually represent your conclusions in matplotlib.

Prominent figure in the online Python community and established programming teacher Giles McMullen-Klein created this free practice exam on Files and Functions in Python where you are working as an app developer for sports startup company. The success of the project depends on your Python skills; therefore, these Python practice test questions are going to quiz you on Python code writing efficiency, file handling, dictionary functions and object creation.

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.

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.

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.

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.

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.

Check out our most helpful downloadable resources according to 365 Data Science’s students and expert team of instructors.

Practice Examstheory

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.

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.

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.

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.

Check out our most helpful downloadable resources according to 365 Data Science’s students and expert team of instructors.

Practice Examstheory

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.

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.

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.

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.