This time, we will report on the learning of "[Data analysis starting from zero] Introduction to Python data science learned in business cases".
Contents ★★★ ☆☆ Easy to understand ★★★★ ☆ Recommendation level ★★★★ ☆
In this course, about data analysis --Basic analysis (for given data) --Predictive analysis (for future data) We will learn these two points using Python. As a preliminary preparation, install "ANACONDA NAVIGATOR". You will learn using the "Jupyter Notebook" in it. By creating according to the wording prepared in advance, it is a form to learn code and data analysis.
In addition, the predicted data will be posted to "SIGNATE" and scored to quantitatively confirm what kind of analysis method should be used. can. In this course, you will solve the exercises in SIGNATE, but after completing the course, you will be able to test your skills and appeal to companies by solving COMPETITION. (Recommended for those who want to change jobs ...?)
As you can see from the general comment, the recommendation level is high (although this is my first study at udemy, so I think this will be the standard). When I was a student, I was doing a simple basic analysis of analytical data (specializing in geology), so I was a little bored in the first half, but I couldn't do the predictive analysis in the second half when I was a student. The content was related to the part, so it was a great learning experience. However, if I'm a little dissatisfied, there are many things that I can do with Excel, and I feel that I haven't seen the strengths of Python yet (in fact, Excel is still deep). I'm still starting to learn Python, so I'll continue to learn so that I can discover the strengths of Python. To be continued...
Next time, I will report on [210,000 people in the world] Aiming to be a data scientist ~ Data Science 25 Hours Boot Camp ~] ... Since I graduated from TECH :: EXPERT, I would like to write about your impressions (although I've become quite a ghost member ...).