Category: Coding In Data Science and Analytics Page 1 of 2

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…

The Junior Data Scientist’s First Month (Video Course)

100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup.

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…

coding in data science and analytics

How to Import Data into SQL Tables

Following the previous article about creating data tables in SQL, now we want to load data into our freshly created SQL table. In this article, I’ll show you…

coding in data science and analytics

How to Create a Table in SQL

Working with SQL for data analysis sometimes requires creating new tables. Do you want to store the output of your SQL queries? Do you need to pull new…

Learn SQL for Data Analysis – from scratch

Learning SQL is very useful for anyone in the online world. And it’s a definite must for Data Analysts/Scientists! Here are 8 articles to start with…

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Learn Python 3 for Data Science – from scratch

I put together a ‘Python 3 for Data Science’ tutorial series starting from the very basics. It features 9 practical articles – that covers everything you need to know!

coding in data science and analytics

Python For Loops Explained (Python for Data Science Basics #5)

Remember that I told you last time that Python if statements are similar to how our brain processes conditions in our everyday life? That’s true for for loops…

coding in data science and analytics

Python If Statements Explained (Python for Data Science Basics #4)

We use if statements in our everyday life all the time – even if our everyday life is not written in Python. If the light is green then…

coding in data science and analytics

Python Built-in Functions and Methods (Python for Data Science Basics #3)

It’s fair to say that using functions is the biggest advantage of Python. At least you will use them a lot during your Data Science projects! This is…

coding in data science and analytics

Python 2 vs Python 3

“Should I learn Python 2 or Python 3?” For everyone who has just started to learn Python for Data Science, this is an important initial question to answer….

thoughts about data science and analytics

Data Analytics Basics (introduction)

You might have heard that Data Scientist was ranked as the best job of 2017 in the USA (based on Glassdoor’s research). Recently many IT professionals have started…

coding in data science and analytics

Python Data Structures (Python for Data Science Basics #2)

Where we did we leave off? Oh, right, we learned about how to use variables in Python. Here is the second essential topic that you have to learn…