In this blog post, we share a list of the topics covered in the Data Science Fellowship assessment exam and provide the rationale behind each one.
What is the Data Science Fellowship assessment exam?
What are the topics covered by the assessment exam?
This is a timed multiple choice exam that takes 60 minutes to complete. Finishing this exam is required to get your Data Science Fellowship application moving down the admissions process.
Up until May 2022, the assessment was composed of two parts: the multiple choice exam and the essay portion. Today, the official assessment is only the multiple choice exam. The decision was made by the Eskwelabs Admissions team in order to streamline the process. Any questions originally asked in the essay portion will be discussed in the interview part of the admissions process.
Now we can move onto the next part of this blog post!
Microsoft Excel is a basic data management tool that all learners should be proficient in prior to the bootcamp.
Q: What about Excel will be asked in the assessment exam?
A: Spreadsheet Operations, Formulas, and Data WranglingThese questions will give us an idea on your confidence level in using Excel.
Python is an open-source, general purpose, and object-oriented programming language that is both simple and powerful for data scientists all over the world. The thriving Python community has already created over 100,000+ Python libraries. These libraries are all useful in helping data scientists face massive amounts of data and conduct their machine learning, data visualization, data cleaning, and data analysis tasks with ease.
Q: What about Python Programming will be asked in the assessment exam?
A: Data Types & Structures, Control Structures, FunctionsThese questions will reassure us that you have a grasp on the fundamentals in order to manipulate data with Python.
Statistics is a branch of mathematics that allows data scientists to uncover and analyze trends or patterns in data. Familiar terms like mean, median, and mode fall under descriptive statistics, which is more focused on producing a summary of what is present in the data set. On the other hand, inferential statistics, which helps us make predictions and draw conclusions from the data, cover concepts such as hypothesis testing, statistical significance, p-value, and more.
Q: What about Statistics will be asked in the assessment exam?
A: Descriptive statistics, Inferential statistics, ProbabilitiesThese questions will show us how prepared you are to delve into the more advanced level of statistics tackled in the bootcamp.
Data visualization using Matplotlib is one of the key topics we’ll be teaching you in the bootcamp to create your first machine learning project. Matplotlib is a Python library used for creating visualizations that can be static, animated, and even interactive. If graphs are visual representations of data, then it’s imperative for you to have a sufficient understanding of them before entering the bootcamp.
Q: What about Graphical Analysis will be asked in the assessment exam?
A: Visual Communication, Structure of Graphs, Grammar of GraphicsThese questions will tell us if you’re able to understand data stories through visualizations, support or validate assumptions made, and communicate findings effectively.
Data sets are sometimes presented in matrix form. That is essentially why understanding the relationships between variables and modelling real-world functions mathematically are two core skills for learners of data science.
Q: What about Algebra will be asked in the assessment exam?
A: Algebra Functions, Ordinary Differential Equations, Linear AlgebraThese questions will reveal your comfort level in mathematical concepts for data science.
Being able to think logically is a key precursor to succeeding with programming languages and other tools used in the field of data science.
Q: What about Analytical Thinking will be asked in the assessment exam?
A: Process Flows, Conditional LogicThese questions will determine your ability to keep up with the data science tools we’ll introduce to you in the bootcamp.
Data science is all about deriving the most value from data. Every industry—whether it be in e-commerce, healthcare, manufacturing, entertainment, and more—has its own set of business questions that can be answered by the insights uncovered by data scientists. Having the ability to make sense of business needs and situations allows data scientists to channel their technical skills in effective and value-adding ways.
Q: What about Business Aptitude will be asked in the assessment exam?
A: Business FrameworksThese questions will signify your capability in providing meaningful insights, observations, and platform/design features that you can best apply in your career.
Updated for Data Science Fellowship Cohort 10 | Classes for Cohort 10 start on September 12, 2022.
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