Data Science Pages

In order to get a truly deep understanding of deep neural networks, one must look at the mathematics of it. As backpropagation is at the core of the...

This post will be a little technical, a little bit complicated, but very important – we will be installing MySQL Workbench and a MySQL Server.

In this post, we will focus on removing records from a database. This operation is carried out with the SQL DELETE statement.

We will explore the INSERT statement in a bit more detail. We have also prepared Exercise and Solution files so you can practice what you've learnt.

We’ll deal with Python functions - an invaluable tool for programmers. The best way of learning is by doing, so let’s create a function and see how it...

Introduction to Programming with Python is a long but indispensable post. We went through everything you need to know before you start coding.

Learn how to use the SQL UPDATE Statement in your database, how to combine it with WHERE clause and a few other SQL tips and tricks.

Following SQL best practices is crucial. Good code is not the one computers understand; it is the one humans can understand.

Simpson's paradox - from US wage gap, through Harry Potter and medical trials, to voting and implications for data science

Taking the data scientist career path is rewarding yet challenging. We have broken up the various career choices into a manageable set of three paths.

In this post, we’ll build our knowledge in Python syntax. We are one step away from covering the essentials, and then we’ll be able to dive into more...

Bayesian inference vs frequentist approach. Lindley's paradox, or when the same data yields cotradictory results - 365 Data Science.

Data Analyst Interview with Ina. She is a Data Analyst at an online platform start-up. Read about her experience on 365 DataScience.

When a person learns about hypothesis testing, they are often confronted with the two errors – false positive and false negative

Combining conditionals and loops in Python made easy with this lesson. Check out the two approaches, both can lead to the same outcome.

We will focus on the differences between database vs spreadsheet. If you still think of Excel when we talk about tabular data, then this post is a must-read

A relational database has a few advantages on its own. A small bit of theory will explain why it is still the preferred choice in many companies.

Learning more about database terminology is a necessary step that will help us when we start coding. This post allowed us to learn certain terms you...

Learn an elegant way of adding a second “if” statement to one of our expressions with the help of the elif keyword... with an example!

Python tuples are another type of data sequences. Tuples are similar to lists, but there are some subtle differences we should not overlook.

Skewness indicates whether the observations in a dataset are concentrated on one side. Skewness can be confusing, so a skewness example is in place.

VLOOKUP COLUMN and ROW. In this lesson you will learn how to use COLUMNS and ROWS as a counter in lookup functions in large tables.

The simple linear regression model. You have probably heard about the regression line, right? When we plot the data points on an x-y plane...

In this lesson, we’ll present another Excel functions combination that can be useful - VLOOKUP and MATCH. Learn how to create a table with the number of...

Population vs sample? The first step of every statistical analysis you will perform is to determine if your data is a population or a sample.