A Step-By-Step Guide For Creating Advanced Python Data Visualizations With Seaborn / Matplotlib
Although there’re tons of great visualization tools in Python, Matplotlib + Seaborn still stands out for its capability to create and customize all sorts of plots.In this article, I will go through a few sections first to prepare background knowle...
AI in Finance: 5 Use Cases That Will Revolutionise the Industry
AI in Finance: 5 Use Cases That Will Revolutionise the IndustryWhat’s next in financial innovation?Technology is driving huge disruption and innovation in the UK financial services industry. The advent of cheap cloud computing, combined with new o...
Numpy & OpenCV In Action
Numpy is a powerful free source python library, which is widely used mainly for mathematical and statistical calculations. This is because many of its operations are based on vector calculations using multidimensional arrays. Also, other important...
Top 10 Skills for a Data Scientist
With gallons of coffee to clear up the inbox, welcome back to the grind! 😀For the winter break, I had a list of stories I wanted to write, and this was the one I was most excited about! Because I too worked to learn some of the skills for Data Sci...
Some Common Data Science Stacks
7 stacks from interviewing Analysts, Scientists, and Engineers.Organizations have different combinations of similar technologies to create their own unique stack. But there are some trends going around and if you’re starting a new team, organizati...
Microsoft Data Science Interview Questions and Answers!
A walkthrough of some data science questions from a Microsoft InterviewIf this is the kind of stuff that you like, be one of the FIRST to subscribe tomy new YouTube channel here! While there aren’t any videos yet, I’ll be sharing lots of amazing c...
Are Your Coding Skills Good Enough For A Data Science Job?
5 coding sniffs you must know if you are working in the Data Science industry“It was Friday evening. I clearly remember how excited I was to spend the rest of the day with my family. My parents had traveled to Bangalore for the first time and I al...
SIR and SEIR Epidemiological Models
Simulation and casesBy: Fabio Pinto(Susceptible, exposed, infected, recovered)One of the most widely used epidemiological models is the so-called SIR model, which was proposed by W. O. Kermack and A. G. McKendrick in 1927.In a population of fixed ...
What Is SQLite and How To Install It?
What is SQLite?Learn about the SQLite database engine and how to install it on your computer.In this article we will be exploring the extremely prevalent database engine called SQLite. We will describe what it does, its main uses, and then explain...
Data Science For Startups: Data Pipelines - Part II
A Scalable PipelineWe’ll build a data pipeline that receives events using Google’s PuSub as an endpoint, and save the events to a data lake and database. The approach presented here will save the events as raw data, but I’ll also discuss ways of t...
Data Science For Startups: Data Pipelines - Part I
Source: TheDigitalArtist at pixabay.comPart three of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the introduction, and a book based on this series on Amazon.Building data pipel...
Choosing The Right Database
A critical step in starting any database project: relational vs. non-relational, CAP Theorem and [email protected] unsplash.comWhen you start a new enterprise database project, one of the most critical steps is choosing the right database. With th...
What Are The Roles In Job Postings For A Data Scientist?
The Roles in Data scienceRoles in data science — making oneself a customized meal (Photo by Brooke Lark on Unsplash)Now that we’ve seen the spread of skills, these combine to form the following 4 core roles in analytics. These roles can be found i...
What’s the secret sauce to transforming into a Unicorn in Data Science?
Roles in analytics and picking up the skills to become ‘priceless’Every aspirant in data science has the question “What skills do I need to enter the industry?”, closely followed by “How do I become highly sought after in this job market?” While t...
The Full Stack Data Scientist
What a data scientist should know to build end-to-end data science solutionsStack Overflow recently released their 2019 developer survey. It was full of interesting developer insights into everything from preferred technologies to optimism of the ...
Building the End-to-End Data Science Infrastructure for a Recommendation App Startup
Machine learning packages for different types of data environment (Source: Kosyakov (2016))Following the last post about data management and everything a data scientist should now, we have now a case study.Building out a viable data science produc...
Everything a Data Scientist Should Know About Data Management
By Phoebe Wong & Robert BennettTo be a real “full-stack” data scientist, or what many bloggers and employers call a “unicorn” you’ve to master every step of the data science process — all the way from storing your data, to putting your finishe...
