Resources

Discover resources that will boost your progress and enhance your data science learning experience and professional performance.

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.

Yellow Cover of Jupyter Notebook Shortcuts. This practice exam is from 365 Data Science.
Practice Exams python
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. 

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Yellow cover of Intro to Jupyter Notebooks. This practice exam is from 365 Data Science.
Practice Exams python
Intro to Jupyter Notebooks

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. 

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Yellow cover of Black-Scholes-Merton Model in Python. This practice exam is from 365 Data Science.
Practice Exams python
Black-Scholes-Merton Model in Python

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.  

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Yellow cover of Python for Financial Analysis. This practice exam is from 365 Data Science.
Practice Exams python
Python for Financial Analysis

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. 

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Yellow cover of Python Finance. This practice exam is from 365 Data Science.
Practice Exams python
Python Finance

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.   

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Yellow cover of Machine Learning with KNN. This template resource is from 365 Data Science.
Practice Exams python
Machine Learning with KNN

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.

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Yellow Cover of For Loops in Python - Practice Exam. The resource is from 365 Data Science.
Practice Exams python
For Loops in Python

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.

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Yellow Cover of Strings & Conditionals in Python - Practice Exam. The course notes resource is from 365 Data Science.
Practice Exams python
Strings & Conditionals in Python

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.

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Yellow Cover of Intro to Stacks and Matplotlib Visualization - Practice Exam. The resource is from 365 Data Science.
Practice Exams python
Intro to Stacks and Matplotlib Visualization

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.

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Yellow Cover of Files and Functions in Python - Practice Exam. The resource is from 365 Data Science.
Practice Exams python
Files and Functions in Python

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.

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Yellow Cover of Intro to Data Visualization. This practice exam resource is from 365 Data Science.
Practice Exams python
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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Yellow Cover of Data Manipulation with NumPy. This practice exam is from 365 Data Science.
Practice Exams python
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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Yellow Cover of Statistics with NumPy. This practice exam is from 365 Data Science.
Practice Exams python
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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Yellow Cover of Generalizing Data with NumPy. The practice exam resource  is from 365 Data Science.
Practice Exams python
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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Yellow Cover of NumPy Fundamentals. This practice exam is from 365 Data Science.
Practice Exams python
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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