• STEM

    What is data science?

    I completed the data science specialization from IBM on Coursera last month. It took me several months to complete all the courses of the specialization and a lot of work. Now, I would like to share on the blog some of the knowledge I gained through this specialization. First, I would like to answer to a very simple question: What is data science? Indeed, we hear a lot of data science lately but for most people, this is a very abstract concept. What is data science? The concept of data science is relatively new. People really began to speak about data science around 2009 and the field has been increasingly…

  • STEM

    Data science project update

    I finally completed my IBM data science specialization. I completed the 8 first courses of the specialization very fast but the last course took me for ever. I met all kinds of technical issues and had to simplify my final project to the point that I feared I would not get a passing grade. However, this worked and I am really relieved the course is finally over. This does not mean I am over with data science. I want to learn more about this field. The IBM data science specialization was great to have a broad view of different aspects of data science and improve my Python skills. However, I…

  • STEM

    Data science project: machine learning

    This week, I was sick and had to stay home. This was of course bad but this gave me the opportunity both to spend more time with the children (also sick at home) and to work on my data science course. And I finally completed the course 8: Machine learning with Python Course 8: Machine learning with Python I completed the course on December 10th 2019. This was an interesting course. You learn for instance how recommendation systems work on popular websites such as Amazon or Netflix. The part on regression was not totally new. I had already seen these notions in previous courses. However, the parts on classification, clustering…

  • STEM

    Data visualization and machine learning

    I have kept working on my data science specialization course since my last update on the blog. I have been working on topics such as Data visualization and machine learning. The last course are definitely more challenging than the first ones and I learned a lot. Course 7: Data Visualization with Python I completed the 7th course of the specialization: Data Visualization with Python. There were a few things I already knew but I really learned a lot. Some chapters of this course were really cool, like creating a chloropleth map (this is a map where areas are colored to indicate the values of a particular quantity in those areas). Another…

  • STEM

    Data science project: November update

    I have not written on the blog for weeks. However, I have not been lazy. I worked a lot on the data science project. I kept working on the IBM data science track on Coursera. Here is my November update. One of the courses, “Data Analysis with Python”, was very long and it took me more time to complete it than I had needed for the previous courses. Most of the concepts in this course were also completely new to me, compared with the previous course November update: new courses Course 6: Data Analysis with Python I completed this course on 25/10/2019. This was the longest course I took so far and…

  • STEM

    Data Science project: October update

    This is a quick October update on my data science project. I am taking Coursera courses about data science and want to finish the IBM data science track by the end of the year. You can see below my previous posts on the project: My goals for September -> first presentation of the project Book review: Ultralearning (Scott H Young) ->the post is actually about the book Ultralearning but at the end of the article I am showing how the book helped me to define my data science project better Data science project: first weeks -> description of the first courses I took October update: new courses Course 4: Python…

  • STEM

    Data science project: first weeks

    I am still working on my data science project and until now, it is going well. This is not always easy to find time to work on this but fortunately, the first courses of the IBM data science track on Coursera have not been too difficult. The next ones will probably be more challenging however. I could complete the first courses relatively fast. Actually, I think the amount of work needed that is indicated on the courses is not really accurate. Some exercises are supposed to take one hour to complete, but actually, it takes rather ten to fifteen minutes, even if you are not familiar with the subject. Data…

  • STEM

    Learning to code with Python – the end of the month

    May is over. I am glad about it. It was a difficult month and I hope June will be better. This is also the end of my learning to code with Python project. As already said, I did not reach all of my goals. The month was very busy and on the top of that, we faced some computer problems. However, I worked on my Python skills every day and could review a lot of basic Python knowledge. Learning to code with Python: all the posts of May Here is an overview of the posts I wrote this month. 1- Starting a new project 2 – Learning to code with…

  • STEM

    Learning to code with Python – third week

    This is my third week of learning to code with Python. I worked every day on my coding skills but I faced some technical problems with my computer and I do not think I will reach all my objectives for this month. However, I do not want to be too negative about that. I am happy I could review the basics of the Python language, even if I did not practice as much as I had hoped. Learning to code with Python – third week 15/05: read one chapter of Let’s code Python + Codecademy (one exercise from the Practice makes perfect section) 16/05: read one chapter of Let’s code Python + 15…

  • STEM

    Learning to code with Python – second week

    This was again a busy week and it was difficult to find time to work on my coding skills. During the second week of learning to code with Python, I mostly kept working with Codecademy but I also began reading a book on Python. I indeed bought a book on Python to be able to use better my commute time. Learning to code with Python – second week 08/05: Codecademy, Battleship! (5 exercises out of 19) 09/05:Codecademy, Battleship! (+ 2 exercises) 10/05: Read one chapter of Let’s code Python  11/05: Codecademy, Battleship ( +12 exercises, finished the chapter) 12/05: Codecademy Loops (13 exercises out of 19) 13/05: Codecademy Loops (+ 6…