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coding in data science and analytics

Data Science Hobby Project Example: Twitter Data Analysis With JavaScript

Tomi Gelo was one of the first participants in my 6-week data science course (the Junior Data Scientist’s First Month). Since then, he has done some pretty cool…

thoughts about data science and analytics

Data Science & Freelancing – an Honest Opinion (with Concrete Tips)

One of the most common questions I get from aspiring/junior data scientists is this: Is it possible to get freelance gigs and jobs as a junior data scientist?…

coding in data science and analytics

Pandas tutorial 5: Scatter plot with pandas and matplotlib

Scatter plots are frequently used in data science and machine learning projects. In this pandas tutorial, I’ll show you two simple methods to plot one. Both solutions will…

thoughts about data science and analytics

My Computer Setup for Data Science (Apps, Software, Programs and Tools I Use)

Recently, I had the “pleasure” of setting up my work computer (the computer that I use exclusively for data science projects) from scratch. I have a 2016 Macbook…

thoughts about data science and analytics

What is Data Science?

In this article I’ll answer a very simple question: What is data science? Well, the question is simple, sure… But the answer is rather complex. The problem is…

coding in data science and analytics

Scraping Multiple Web Pages with For Loops (in bash) — Web Scraping Tutorial ep#2

This is the second episode of my web scraping tutorial series. In the first episode, I showed you how you can get and clean the data from one…

coding in data science and analytics

Web Scraping Tutorial — episode #1 — Scraping a Webpage (with Bash)

Running hobby projects is the best way to practice data science before getting your first job. And one of the best ways to get real data for a…

thoughts about data science and analytics

What’s the best computer/laptop for a data scientist?

I get this question a lot: What’s the best computer (or laptop) for a data scientist? In this article, I’ll answer it in detail and I’ll add specific…

thoughts about data science and analytics

Data Science Projects for Boosting Your Resume

We all know the old catch-22 — you need a job to get job experience and job experience to get a job. Luckily, that’s not entirely true in…

thoughts about data science and analytics

Presentation Tips for Data Professionals

Not so long ago, I saw one of my data scientist friends speak in front of his whole company. He worked for two months on a great data…

thoughts about data science and analytics

How to be a more productive Data Scientist? Don’t do more, do it smarter!

A few years ago, I put a lot of work into a hobby project of mine: a self-learning Python chatbot that learns like a newborn baby. It was…

coding in data science and analytics

SQL Interview Questions: 3 Tech Screening Exercises (For Data Analysts)

Over the last 6 years I’ve been part of many job interviews – on both sides of the table. The most fun, but also the most feared, part…

coding in data science and analytics

Pandas Tutorial 3: Important Data Formatting Methods (merge, sort, reset_index, fillna)

This is the third episode of my pandas tutorial series. In this one I’ll show you four data formatting methods that you might use a lot in data…

coding in data science and analytics

Pandas Tutorial 2: Aggregation and Grouping

Let’s continue with the pandas tutorial series. This is the second episode, where I’ll introduce aggregation (such as min, max, sum, count, etc.) and grouping. Both are very…

coding in data science and analytics

Pandas Tutorial 1: Pandas Basics (Reading Data Files, DataFrames, Data Selection)

Pandas is one of the most popular Python libraries for Data Science and Analytics. I like to say it’s the “SQL of Python.” Why? Because pandas helps you…

coding in data science and analytics

Python libraries and packages for Data Scientists (the 5 most important ones)

Did you know that Python wasn’t originally built for Data Science? And yet today it’s one of the best languages for statistics, machine learning, and predictive analytics as…

coding in data science and analytics

Python Import Statement and the Most Important Built-in Modules for Data Scientists

So far we have worked with the most essential concepts of Python: variables, data structures, built-in functions and methods, for loops, and if statements. These are all parts…

coding in data science and analytics

Python Syntax Essentials and Best Practices

In my Python workshops and online courses I see that one of the trickiest things for newcomers is the syntax itself. It’s very strict and many things might…

coding in data science and analytics

Python For Loops and If Statements Combined (Python for Data Science Basics #6)

Last time I wrote about Python For Loops and If Statements. Today we will talk about how to combine them. In this article, I’ll show you – through a…

coding in data science and analytics

How to connect Google Data Studio to PostgreSQL

Connecting Google Data Studio to your PostgreSQL database is easier than you would think. I will walk you through the whole process step by step. By the end…