R, Python or SAS: Which one should you learn first?

Python, R and SAS are the three most popular languages in data science. If you are new to the world of data science and aren’t experienced in either of these languages, it makes sense to be unsure of whether to learn R, SAS or Python. Don’t fret, by the time you’re done reading this article, you will know without a doubt which language is the right one for you. Overview R – R is the lingua franca of statistics. It is a […]

Read more

Learn Python for Data Science from Scratch

Python is a multipurpose programming language and widely used for Data Science, which is termed as the sexiest job of this century. Data Scientist mine thru the large dataset to gain insight and make meaningful data driven decisions. Python is used as general purposed programming language and used for Web Development, Networking, Scientific computing etc. We will be discussing further about the series of awesome libraries in python such as numpy, scipy & pandas for data manipulation & wrangling and […]

Read more

PixieDust Support of Streaming Data

With the rise of IoT devices (Internet of Things), being able to analyze and visualize live streams of data is becoming more and more important. For example, you could have sensors like thermometers in machines or portable medical devices like pacemakers, continuously streaming data to a streaming service like Kafka. PixieDust makes it easier to work with live data inside Jupyter Notebooks by providing simple integration APIs to both the PixieApp and display() framework.   On the visualization level, PixieDust […]

Read more

Career Transition Towards Data Science: Planning a Learning Sabbatical

At the time of writing this post, I am nine months into my learning sabbatical. You can read about my journey here: “Career Transition Towards Data Analytics & Science”. Today I will share with you how you can plan your own, unique learning sabbatical, regardless of its scope and duration – anywhere between 1 and 12 months. Let’s get started. Begin with the end in mind If you have ever read Stephen Covey’s “7 Habits of Highly Effective People” you […]

Read more

Why Excel Users Should Learn Python

Latest update: November 16, 2018 Microsoft Excel has been around for over 30 years now, and chances are it’s not going to change in the foreseeable future. In fact, Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel’s massive user base of approximately 500 million worldwide. Tech-savvy small and mid-sized businesses embrace innovative alternatives to Excel. However, making a dent in the large enterprise space is a […]

Read more

Should Python Become Your Official Corporate Language, Along With English?

English is becoming the official language in the global business world, being currently spoken by approximately 1.75 billion people worldwide according to Harvard Business Review. While English is the fastest spreading language in human history, a significant proportion of businesses are still resistant to giving up on their native language. Just try having a casual conversation in English with German employees at their corporate headquarters canteen (I am German, just for the record). However, pressures are piling up, not only […]

Read more

Mental Framework For A Data Driven Digital Transformation

Over the last years, my small business has undergone a digital transformation from a marketing service company to a data literacy consultancy. What does a data literacy consultancy do? We teach business users within large enterprises to work with data, and we help them acquire the necessary skills from state of the art Excel to Python, querying structured, semi-structured and unstructured databases, as well as math, statistics, and probability. Throughout our transition, we applied a set of techniques, principles, and […]

Read more

Why I Am Writing At Data Science Central, And Why You Should, Too

My writing engagement at Data Science Central came up unexpectedly. Back in August 2018, I stumbled upon an excellent write-up on Data Science Central. The author, Bill Vorhies, shared his thoughts on career transitioning toward data science. I wrote him an email, complimenting him on his blog post, and I dropped a few lines about my own transition. Here’s his response: “Congratulations on your remarkable journey. Perhaps you’d like to write one or more articles around this theme as we […]

Read more

Your Company Needs A Spreadsheet Policy More Than Ever

Electronic spreadsheets have been around for nearly 40 years now. They were invented by Bob Frankston and Dan Bricklin, founders of VisiCalc, and I had a chance to chat with both gentlemen a couple of months ago. I highly recommend watching this TED talk with Dan Bricklin: It’s important to understand for which purpose electronic spreadsheets were built in the first place if we want to anticipate what their future might look like. In response to my question in how […]

Read more
1 2