Resources

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

Course Notes

All Course Notes
Course notes are the perfect complementary educational resource in .pdf for anyone who wishes to go in-depth with fundamental to advanced data science concepts and get a taste of our e-learning style.
Gray cover of Backpropagation Algorithm. These course notes are from 365 Data Science.
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Backpropagation Algorithm

The backpropagation algorithm is the fundamental building block of neural networks and is used to effectively train them through the chain rule method- a technique used to find the derivatives of cost, considering any variable in a nested equation. While most packages already contain backpropagation algorithms in them, knowing the math behind them and how they work will help you better understand more advanced algorithms as well as handle vanilla ones with ease. Check out these free short pdf course notes on the backpropagation algorithm to learn some of the useful formulas and finding the results for backpropagation for the output layer and hidden layer.   

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Gray cover of Neural Network Overview. These course notes are from 365 Data Science.
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Neural Networks Overview

Currently, the closest technology to mimicking the human brain and learning process is deep learning. It uses mathematical functions to map the input to the output and form patterns out of the data. Computationally superior to machine learning, deep learning can even analyze huge sets of unstructured data. At the heart of deep learning are neural networks which mimic the neuron activity in the human brain, enabling us to learn the structure of data by performing various tasks, without the need for human intervention. Check out these short free pdf course notes to find out the three layers of deep neural networks and the activation functions. 

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Gray cover of Intro to Intro to Neural Networks. These course notes are from 365 Data Science.
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Intro to Neural Networks

Machine Learning is the field concerned with building computational  models that can execute high-level tasks using human-like reasoning. In other words, machine learning models possess the ability to learn autonomously. The recent introduction of neural networks has opened a new set of possibilities for machine learning and deep learning. Before you explore them, check out these free pdf course notes on intro to neural networks and get to know the building blocks of a machine learning algorithm, and the two types of supervised learning- regression and classification.

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Grey cover of Probability. These course notes are from 365 Data Science.
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Probability

We use the intuitive concept of probability on a daily basis in our lives, just by the mere fact that we live in constant uncertainty. Data Science is one of the fields where we need to have conscious mastery and understanding of probability – the backbone of many important data science concepts. If you want to adopt the probabilistic mindset then check out our free pdf course notes which will teach you the basics of probability, combinatorics, Bayesian Notation, discrete distributions, continuous distributions, setting up and solving integrals and expressing complex formulas in Wolfram Alpha. 

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Templates

All Templates
Save hours of browsing through the Internet and accelerate your workflow with code-ready templates for your programming projects. Personally crafted by 365 Data Science instructors, these templates bring a surprising efficiency level to your work process.
Yellow cover of Multi-Dimensional Dictionaries in Python. This template resource is from 365 Data Science.
Templates python

Multi-Dimensional Dictionaries in Python

The following is a program implementing a multi-dimensional dictionary in Python. The notebook shows how to retrieve keys and values from the dictionary, how to create a new key:value pair and how to loop through the keys and the values using a for-loop. Some other related topics you might be interested in are One-Dimensional Dictionaries in Python, Dictionary Comprehension in Python, Using Counter - a Dictionary Subclass in Python. The Multi-Dimensional Dictionaries in Python free template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Methods in Python - Functions Inside Classes in Python. This template resource is from 365 Data Science.
Templates python

Methods in Python - Functions Inside Classes in Python

In Python, we can design and create our own objects with the help of classes. In this free notebook, we will design a class and define two functions inside - two methods. In Python, methods are accessed through the dot-notation. They help interact with an object and are an essential part of a class. Some other related topics you might be interested in are Defining classes in Python, The Pass-Statement in Python, Creating a Constructor in Python - the INIT method, Class Variables in Python, Inheritance in Python. The Methods in Python – Functions Inside Classes in Python template is among the topics covered in detail in the 365 Program.

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Yellow cover of Inheritance in Python. This template resource is from 365 Data Science.
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Inheritance in Python

In Python, we can design and create our own objects. This is done with the help of classes. The design of these (parent) classes can be inherited by other classes. This allows classes to make use of the constructor and the methods of the parent class. In this notebook, we demonstrate how this can be done with a thorough example. Some other related topics you might  be interested in are Defining classes in Python, The pass-statement in Python, Creating a constructor in Python - the INIT method, Class variables in Python, Methods in Python - functions inside classes. The Inheritance in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Indexing with.iloc[] and .loc[] in Python. This template resource is from 365 Data Science.
Templates python

Indexing with.iloc[] and .loc[] in Python

The following template demonstrates how to perform indexing with the pandas methods iloc[] and loc[].Some other related topics you might be interested in are Data Selection in Python, Common Attributes for Working with DataFrames in Python, Attribute Chaining in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, and Converting Series into Arrays in Python. The Indexing with.iloc[] and .loc[] in Python template is among the topics covered in detail in the 365 Program. 

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Infographics

All Infographics
Navigate your way through the sea of weighty data science content with the help of our 365 Data Science infographics and make your learning experience much simpler and more memorable.
Orange  cover of How to Become a Research Analyst. This infographic is from 365 Data Science.
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How to Become a Research Analyst

The research analyst is an entry-level position that is responsible for helping a company coordinate its research related activities and investigate special requests. They serve as task leads across the departments within a company, coordinating between stakeholders, project teams, master data teams and team leaders. The dynamic and responsible nature of the job gives the necessary experience for individuals to grow into future analytics managers and data scientists. Therefore, in this free pdf infographic on How to Become a Research Analyst, we are going to describe the research analyst profile, job responsibilities, average salary numbers, required skills and more, so you can start on the right foot.

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Orange Cover of How to Become a Marketing Analyst. This infographic resource is from 365 Data Science.
Infographics

How to Become a Marketing Analyst

The overall goal of a marketing analyst is to discover and present marketing insights by working with the company’s pool of data to increase marketing and sales performance Therefore, the marketing analyst job is a highly dynamic role that requires a combination of strong communication, analytical and marketing skills. If you want to go into greater detail on what is a marketing analyst, what does a marketing analyst do, what are the required marketing analyst skills and what is the marketing analyst career path then check out the free pdf infographic on How to Become a Marketing Analyst.

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Orange Cover of How to Become a Business Analyst. The infographic resource is from 365 Data Science.
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How to Become a Business Analyst

The business analyst is one of the most dynamic roles in a company, as they are tasked with the responsibility to bridge the organization’s information technology capabilities with its business goals. Combined with a high-paying salary and room for career growth , the position is a highly desired career by many business professionals. Therefore, we have created this free pdf infographic that is going to cover what does a business analyst do, salary information, business analyst skills requirements and career path to show you what to expect and decide for yourself if this is the right career for you.

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Orange Cover of the How to Become a Data Analyst Infographic. The infographic resource is from 365 Data Science.
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How to Become a Data Analyst Intern

In the highly competitive data science job market, data analyst internships are a perfect way for you to gain hands-on experience working with data to answer critical business questions, learn important soft skills and expand your networking circle for career growth. The 365 Data Science Data Analyst Intern infographic will show you how to get a data analyst internship by going over the position responsibilities, the required technical skills and educational background for the data analyst position.

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Career Guides

All Career Guides
Save yourself hours of browsing the internet and reading through fragmented pieces of outdated information about the data science industry with our career guides—your roadmap to designing your professional development.
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Career Guides

Data Analyst Career Guide

Understanding and interpreting data has become more crucial as we progress into the digital age. Data analysts use their skills to analyze complex datasets and provide valuable insights that drive informed decision-making and promote business growth. Our data analyst career guide explores what it takes to become a successful data analyst, including the role description, necessary qualifications and skills, and the data analyst job outlook for 2023. The true value of the guide is in its extensive section concerning your application process from resume to interview. You’ll learn how to structure your resume, write a winning cover letter, and provide exceptional answers to data analyst interview questions.

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Career Guides

Data Analyst Resume Template

A winning data analyst resume must be brief, easy to scan, mistake-free, and tailored to a particular job ad. But building one from scratch can be time-consuming. Our free data analyst resume template is the perfect resource to slash formatting time and allow for quick customization.

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Career Guides

Data Analyst Cover Letter Template

Crafting an effective data analyst cover letter begins with skimming through a massive dataset: your experience. Demonstrate your value to the hiring manager by crafting a compelling story about your skills and experience. Our free data analyst cover letter template allows you to use a tried-and-tested method for impressing employers.

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Red Purple cover of The Ultimate Data Science Career Guide. This resource is from 365 Data Science.
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The Ultimate Data Science Career Guide

Have you ever asked yourself, “Is data science a good career choice?”, “What are the best industries for data science?”, “What are the different data science jobs?”, and “How do I get a job in data science?“? Our Ultimate Data Science Career Guide provides the answers to all data science career-related questions. This free PDF is your ultimate career advisor. You can turn to it for help during the different stages of your data science journey.

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Practice Exams

All Practice Exams
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.
Green cover of Excel Mechanics. This practice exam is from 365 Data Science.
Practice Exams excel

Excel Mechanics

Imagine if you had to apply the same Excel formatting adjustment to both Sheet 1 and Sheet 2 (i.e., adjust font, adjust fill color of the sheets, add a couple of empty rows here and there) which contain thousands of rows. That would cost an unjustifiable amount of time. That is where advanced Excel skills come in handy as they optimize your data cleaning, formatting and analysis process and shortcut your way to a job well-done. Therefore, asses your Excel data manipulation skills with this free practice exam.  

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Green cover of Formatting Excel Spreadsheets. This practice exam is from 365 Data Science.
Practice Exams excel

Formatting Excel Spreadsheets

Did you know that more than 1 in 8 people on the planet uses Excel and that Office users typically spend a third of their time in Excel. But how many of them use the popular spreadsheet tool efficiently? Find out where you stand in your Excel skills with this free practice exam where you are a first-year investment banking analyst at one of the top-tier banks in the world. The dynamic nature of your position will test your skills in quick Excel formatting and various Excel shortcuts 

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Green cover of Hypothesis Testing. This practice exam is from 365 Data Science.
Practice Exams excel

Hypothesis Testing

Whenever we need to verify the results of a test or experiment we turn to hypothesis testing. In this free practice exam you are a data analyst at an electric car manufacturer, selling vehicles in the US and Canada. Currently the company offers two car models – Apollo and SpeedX.  You will need to download a free Excel file containing the car sales of the two models over the last 3 years in order find out interesting insights and  test your skills in hypothesis testing. 

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Green cover of Confidence Intervals. This practice exam is from 365 Data Science.
Practice Exams excel

Confidence Intervals

Confidence Intervals refers to the probability of a population parameter falling between a range of certain values. In this free practice exam, you lead the research team at a portfolio management company with over $50 billion dollars in total assets under management. You are asked to compare the performance of 3 funds with similar investment strategies  and are given a table with the return of the three portfolios over the last 3 years. You will have to use the data to answer questions that will test your knowledge in confidence intervals. 

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