I present here all the sources I used to up-skill myself in data analysis.
Bibliography. Power BI
- Supercharge Power BI: Power BI is Better When you Learn to Write DAX, by Matt Allington.
A good introductory book to DAX. The book is well written, very didactive and really helps you to write your first DAX measures.
- The Definitive Guide to DAX, The: Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI, by Alberto Ferrari and Marco Russo.
It is often referred to as the DAX bible for and it is indeed a long and comprehensive book with its 800 pages. I enjoyed reading it after Matt Allington book to get into more DAX details. I have read the first edition published in 2015 and I am looking forward to learning the latest functions with the 2nd edition to be released in August 2019.,
Bibliography. Statistics and Python
- Think Stats, 2nd Edition, by Allen B. Downey.
A great book to apply statistics with Python. I loved this book for two reasons. Frist the dataset is extracted from the National Survey of Family Growth (NSFG) conducted by U.S. Centers for Disease Control and Prevention (CDC). The topic touched me as I have two young kids recently. Second the author used Python to perform a statistical analysis of birth data, and it was a great application study to do the practical link between my previous courses in statistics (see Statistics in a Nutshell, Harvard Stat 101) and in Python.
- Statistics in a nutshell, 2nd Edition, by Sarah Boslaugh.
An introductory book to statistics. Well developed with its 500 pages . Maybe a little verbose but a good reference book overall.
Blogs. Power BI
A couple of blogs on Power BI which I read regularly:
- Excelerator BI by Matt Allington
- SQLBI by Alberto Ferrari and Marco Russo.
- RADACAD by Reza Rad and Leila Etaati.
Online courses
Some online courses I have completed since 2017:
- Machine learning, by Andrew Ng, on Coursera.
- Introduction to data science in Python, on Coursera.
- Harvard Stat 110, by Joe Blitzstein.
Joe Blitzstein is the statistics professor I would like to have had during my engineering studies. I wished other Harvard statistics courses were freely available.