All blog posts:
2021
- 01/20 – Exploratory Data Analysis and Machine Learning algorithms in Python with Iris data
- 01/26 – Data visualization vs Storytelling with data
- 02/04 – Introduction to text mining and sentiment analysis in R with Jane Austen’s novels
- 02/11 – 6 data science oriented podcasts you should check out!
- 02/17 – How to manage a data science team? Interview with Kasper Pors Hansen, former Senior Manager in Arla Foods.
- 03/04 – How to use Spotify API and what data science opportunities can it open up?
- 03/22 – What does it mean to be a Full Stack Data Scientist? Interview with Michael Thruesen, Head of Data Science & Engineering at IBM.
- 04/09 – 5 things I wish I knew when I started out with Data Science
- 05/26 – Transitioning from Academia to Data Science. Interview with Johannes Tang Kristensen, Senior Data Scientist from Stark.
- 06/08 – Linear Programming with R. Exploring lpSolve package.
- 07/04 – Using Azure Databricks Dashboards
- 07/16 – Searching for the best model in a more efficient way with Sci-Kit Learn Pipelines
- 07/27 – The 12 Weak Year Planning templates for Data Science. How to kick-start your career in 2021?
2020
- 10/19 – EARL 2020 Conference Summit
- 10/26 – How to improve your dataviz skills in 6 steps with Cole Nussbaumer Knaflic
- 11/02 – Behavioral Customer Segmentation using RFM model
- 11/09 – 5 common mistakes in collecting requirements from business
- 11/16 – How to do exploratory data analysis in 10 steps in R and Python
- 11/25 – Building robust APIs in R using plumber
- 12/10 – EB Show 2020 Summit
R-based projects:
- Behavioral Customer Segmentation using RFM model
- Building robust APIs in R using plumber
- Introduction to text mining and sentiment analysis in R with Jane Austen’s novels
- Linear Programming with R. Exploring lpSolve package.
Python-based projects:
- Exploratory Data Analysis and Machine Learning algorithms in Python with Iris data
- How to use Spotify API and what data science opportunities can it open up?
- Searching for the best model in a more efficient way with Sci-Kit Learn Pipelines
Tutorials:
- How to do exploratory data analysis in 10 steps in R and Python
- 5 common mistakes in collecting requirements from business
Career tips:
- 5 things I wish I knew when I started out with Data Science
- The 12 Weak Year Planning templates for Data Science. How to kick-start your career in 2021?
Interviews with experts:
- How to manage a data science team? Interview with Kasper Pors Hansen, former Senior Manager in Arla Foods.
- What does it mean to be a Full Stack Data Scientist? Interview with Michael Thruesen, Head of Data Science & Engineering at IBM.
- Transitioning from Academia to Data Science. Interview with Johannes Tang Kristensen, Senior Data Scientist from Stark.