Also another book I forgot to mention: the R Graphics Cookbook, r-graphics.org/. **P.S.** Subscribe if you found this video helpful, because I'll be uploading more pointers to data resources in the next week!
@@tomhenry-datasciencewithr6047 I feel like gapminder dataset would be fine/ any dataset that you think would really answer the question. I would love a detailed explanation on nest function and map function. I say this because I often get confused when grouping by two variables and applying nest function and iterating a random function over nested dataframe.
A lot of people have strong opinions one way or the other. The reality is that both R and Python are fantastic languages for everything ranging from data cleaning, visualisation, modelling, etc. through to putting models in production. R is a data science specific language, while Python is more general. That means: 1) A lot of companies use Python for other parts of their software, and other people in the company who know Python will be able to understand analyses more easily when they are written in Python instead of in R. 2) However, for people who know R, it can often be easier to write clean, easy-to-understand code in R to analyse data than in Python. That's because R is designed for data analysis but Python was not designed with data analysis in mind. So (1) Python often is easier to fit in with existing software/knowledge at a company, because other people are more likely to know it, but (2) because R is designed for data analysis, it is often easier and quicker to clean and analyse data in R compared to Python. I use R most of the time, but I also use and love Python.
@@tomhenry-datasciencewithr6047 I learned R in my data analytics mooc & now I find difficulty in finding jobs. I am a career transitioner and the job market groun has become a really rough ground. It started to impact my mental health now.
@@vivekjoshi3769 Hi Vivek, sorry to hear that! It sounds hard. What area are you transitioning to data science from? And what types of data jobs have you been applying for?
@@tomhenry-datasciencewithr6047 Hi Tom, Thanks for responding. I am transitioning from hotel hospitality field. I am not working right now. My target roles are Data Analyst & BI Analyst. I did a MOOC on Coursera by Google that taught R thinking it will help me upskill and get a job but later when I started applying for jobs on LinkedIn almost every entry level job mentions one of these: 1. Proficiency in Python. 2. Must know pandas, numpy etc. 3. Knowledge of Python libraries. I learned R from other sources also & I agree it's really a good language. I made two personal projects too but I guess world embraces and favors Python more at least here in India. Companies not ready to invest in training so they will give preference to the one who knows the language they use instead of selecting the person who they they have to train to learn Python. There are jobs that use R & they are few which are mainly Research based jobs and they ask for PhD. which makes sense since they want highly skilled people. I am only a bachelor. Anyways my point is I have to invest more months now to learn Python which means more months of unemployment. Applied to some jobs in the past and got no calls, contacted some people in industry & they also advised to learn Python. I have more than a year gap without job and I get existential crisis mental attacks sometimes which is really pensive but I am managing life somehow.
@@vivekjoshi3769 That sounds hard! Trying to find a job when we feel depressed / anxious / stressed is doubly hard. I would guess your hotel hospitality job was affected by COVID. A few questions: Did you finish your undergraduate studies recently? What did you study for that degree? Have you had any (in person or online) meetings with data scientists?
Thanks for nice recommendations ! Also ,I might add Stat&R blog , it is a great resource with clear explanation If you want to do pure statistical analysis in R. www.statsandr.com
Also another book I forgot to mention: the R Graphics Cookbook, r-graphics.org/.
**P.S.** Subscribe if you found this video helpful, because I'll be uploading more pointers to data resources in the next week!
hello pal, what skill we need for Data Governance Area?
You've become my new BFF and I owe you a pint. I will be liking and sharing this broadcast asap. -cheers
Great video again! Also, great recommendations. I was wondering if you have thought about doing a video on split-apply-combine and parallel computing.
That's a great suggestion! Are there particular examples you'd be keen to see with split-apply-combine & parallel computing?
@@tomhenry-datasciencewithr6047 I feel like gapminder dataset would be fine/ any dataset that you think would really answer the question. I would love a detailed explanation on nest function and map function. I say this because I often get confused when grouping by two variables and applying nest function and iterating a random function over nested dataframe.
What can you say about the book hands on machine learning with R by Boehmke and Greenwell? It's not on your list
From what I've read it seems good!
Nice tips! Thanks from Brazil.
Glad it was helpful!
which best please python or R
A lot of people have strong opinions one way or the other. The reality is that both R and Python are fantastic languages for everything ranging from data cleaning, visualisation, modelling, etc. through to putting models in production.
R is a data science specific language, while Python is more general. That means:
1) A lot of companies use Python for other parts of their software, and other people in the company who know Python will be able to understand analyses more easily when they are written in Python instead of in R.
2) However, for people who know R, it can often be easier to write clean, easy-to-understand code in R to analyse data than in Python. That's because R is designed for data analysis but Python was not designed with data analysis in mind.
So (1) Python often is easier to fit in with existing software/knowledge at a company, because other people are more likely to know it, but (2) because R is designed for data analysis, it is often easier and quicker to clean and analyse data in R compared to Python.
I use R most of the time, but I also use and love Python.
@@tomhenry-datasciencewithr6047 I learned R in my data analytics mooc & now I find difficulty in finding jobs. I am a career transitioner and the job market groun has become a really rough ground. It started to impact my mental health now.
@@vivekjoshi3769 Hi Vivek, sorry to hear that! It sounds hard. What area are you transitioning to data science from? And what types of data jobs have you been applying for?
@@tomhenry-datasciencewithr6047
Hi Tom,
Thanks for responding.
I am transitioning from hotel hospitality field. I am not working right now.
My target roles are Data Analyst & BI Analyst.
I did a MOOC on Coursera by Google that taught R thinking it will help me upskill and get a job but later when I started applying for jobs on LinkedIn almost every entry level job mentions one of these:
1. Proficiency in Python.
2. Must know pandas, numpy etc.
3. Knowledge of Python libraries.
I learned R from other sources also & I agree it's really a good language. I made two personal projects too but I guess world embraces and favors Python more at least here in India. Companies not ready to invest in training so they will give preference to the one who knows the language they use instead of selecting the person who they they have to train to learn Python.
There are jobs that use R & they are few which are mainly Research based jobs and they ask for PhD. which makes sense since they want highly skilled people. I am only a bachelor.
Anyways my point is I have to invest more months now to learn Python which means more months of unemployment.
Applied to some jobs in the past and got no calls, contacted some people in industry & they also advised to learn Python. I have more than a year gap without job and I get existential crisis mental attacks sometimes which is really pensive but I am managing life somehow.
@@vivekjoshi3769 That sounds hard!
Trying to find a job when we feel depressed / anxious / stressed is doubly hard.
I would guess your hotel hospitality job was affected by COVID.
A few questions:
Did you finish your undergraduate studies recently?
What did you study for that degree?
Have you had any (in person or online) meetings with data scientists?
Thanks!
Thanks for nice recommendations ! Also ,I might add Stat&R blog , it is a great resource with clear explanation If you want to do pure statistical analysis in R.
www.statsandr.com