At Coursera I joined Machine Learning by Andrew Ng (Coursera co-Founder), IBM certification, Statistics by Stanford, and data science courses provided by University of Michigan. I am really grateful that I can accomplished those in time. Now I'm a freelance data scientist and always open for a new challenge in data world. Nice sharing btw. ❤️
Wow - great to hear that you chose a very similar set of courses to me, especially great to hear that they they helped you accomplish your career goals!
@@olidialunga8593 I didn't do any data science courses since I learned during my undergraduate degree (math major, computer science minor) and through an internship. I did however audit several data science courses and these were the ones I found to be most useful from my perspective
Congrats on getting sponsorship from Coursera! After spending 4 minutes scouring into the course syllabus, I agree that these courses are great resources for someone aiming for a data science career. However, one thing I am really curious about is that from a hiring manager's perspective, would a certificate play a critical role in finalizing the candidate?
Thanks Ben! I think the certificate itself won’t necessarily play a critical role, but the skills you acquire from completing the certificate will guide you through the recruitment process. I see the certificate itself more as a stamp of approval to move into the hiring process in the first place
@@damselindata Thanks for the inside info, Andjela! Now I am relieved that I did not put my certificates in my CV. I do agree with you that maybe HR tends to check the certificate in the screening process while HM focuses more on the case study/technical test.
Helpful and full of good vibes and fun :D hi, I just discovered your channel, will be staying around watching your videos as I'm getting into data science world. Also, I am spanish speaker so your channel will help me with DS and my english learning :D Thanks a lot!
Hey Damsel, you make really great data science videos ! I totally agree with you that colleges and universities do not teach you “how” to code as I have struggle a lot through this pandemic as a soft-more. Primarily with data structures as it was taught in C++, which fuckin sucked :D. I was wondering in a future video, if you can create sort of a run through video of going over a dataset. And then explain your like thought process. Take care and thank you so much 😝!
Thanks for the kind words! Glad to hear someone had a similar experience to me in early CS courses. I am actually thinking of doing a video on this so thanks for confirming an interest in it!
Thanks for this video. You're definitely right about python libraries doing a lot of the grunt work under the hood, so it's important to know what is going on to solve certain edge cases. Keep up the content, more videos please! One suggestion: we need more diversity in tech, what's your experience?
Thanks so much for the kind words! Glad you like the content. I agree tech needs more diversity - I may make a video with my thoughts on this soon. I appreciate the suggestion!
thank you for this video , im currently on my journey to becoming a coding cutie ☺️i absolutely love your channel and all the helpful information videos you've created :)) thank you !
😉 Congrats for your sponsorship. I completed the Google Data Analytics Certificate on Coursera. And finish somo more courses on R, SQL, Statistics. Now I want to make some projects for my porfolio. A video on pojects for beginers would be good and another one on cleaning. Everyone says that you spend a lot of time on cleaning data, there isn´t a good video about it...
Thank you so much for the suggestion! I will add the idea to my list and try to make more videos around the theme of working on data science projects as a beginner.
but also, if you haven't already checked out this video on the end-to-end guide for building your first ML model: th-cam.com/video/KtKZVc0joYQ/w-d-xo.html it may be helpful! Let me know if you have questions.
@@damselindata , Thanks Damsel. I have already watched it. I think that is too much for me. I have a background in Business Administration with no coding experience. I want to make a career change starting as Data Analyst, Data Scientist is the next step. I want to make projects on Tableau, a doubt I have is once is finished the dashboard how to update it with new data. By the way, what is your name? I´m Javier from Madrid, Spain. thanks again
YES thanks for participating! You are so welcome. I use only the free sounds available on imovie for all my videos. I'm not sure what they are called but there aren't very many so you can scroll through them.
What do you think about JHUJohns Hopkins University specialized data science certificate with R? If you don't mention it, it's because his theory is not very important. I would like to know your opinion.
not familiar with that one specifically but most data science courses I have seen out there issued by reputable institutions seem to cover what you need.
Ma'am, you are really an inspiration to me. I'm also a computer engineer with no experience. Now I again re-started my career journey by learning data science (self study). My question is : Will I get a job ? Because I have 3 year gap after completion of masters from india. I have no work experience and now planning to move to USA
Thanks so much for the kind words and congrats on taking the leap into data science! You can get an entry level data science job if you can demonstrate your skills through projects. I recommend doing at least one end-to-end data science project, where you - retrieve the data yourself (by scraping the web or using an API) - clean the data, build and optimize a model - deploy the project as a web application using flask / streamlit and Heroku or one of the major cloud platforms. Check out my “how to build a machine learning model” video for more tips on the project if you haven’t already!
Great question! I have a whole video discussing this. Titled “how to get a job in data science” some other videos on my channel may be helpful as well! :) good luck!
I had some fun with the P4E course and definitely see the value of knowing Python but I stopped after course 2. My issue is that I work with SQL everyday at work and I was hoping to find a path forward that more heavily biased SQL since I have such a strong foundation already. More and more I’m seeing utility and career growth with Python and R though which is a little bothersome. SQL isn’t going anywhere, Databases will always exist but people are overlooking the value in favor of other skills. My hope was to get a foot in the door due to 4 years full time working with SQL and then add Python to the mix but it seems as if most want the Python first and then add SQL skills. Not only that, SQL courses are hard to come by unless you wanna break off 5k to Oracle, at least on Coursera it seems to be lacking anyway. Thing is, I prefer Coursera for the Plus benefits and certificates that actually carry weight. “ITProTV” (no hate to those guys) doesn’t look anywhere near as good on a resume as IBM or Oracle. Rough brah… anyway, thanks for the solid vids!
I know that SQL is not the biggest buzzword in terms of technical skills but don’t be discouraged as it is ESSENTIAL and I’ve personally worked in data science roles where being sharp with SQL is far more important than with python (in cases where the sql requirements are more complex than the python ones). Even tho it doesn’t appear this way in job descriptions, sql is crucial for data work. However, I do agree that it’s not enough for most modern roles. So supplementing with some python will go a really long way. Thanks for checking out the video!!!
good informative video... Question: I just finish the IBM data science professional cert. what will you recommend as the next? I have been looking at the Coursera specialized courses "Machine Learning Specialization & Statistics with Python Specialization. my goal is, after > 25 yrs in the IT industry, to make a career move/change... ;)
Thank you for the kind words and congrats on finishing the professional cert! For your next steps, you could try browsing through or applying to jobs that you think you could be qualified for. If you aren't ready to apply to any yet, start collecting the key skills that the jobs you are interested in are asking for, and focus on further developing your skills. If you want to keep learning, I think the ML specialization you mentioned sounds great. As long as your next learning is more specialized in a certain area of data science (maybe something that resonated deeply with you during the IBM cert) you can't go wrong in my opinion. Good luck!
Hi thanks so much for the video. You gave great recommendations of courses. I’m checking out IBM Data science course. What are your thoughts about the data analyst role? What drew you in to do Data Science instead?
Hi glad you liked the video! Data analyst and data scientist are very related roles and sometimes interchangeable (there isn't consistency in the definitions of the job titles as companies still don't always understand the difference). The only thing that drew me to data science is the fact that the first job I found in the field was working as a data scientist intern. Both are great! If you'd like to learn more about the differences, check out this video if you haven't already! th-cam.com/video/rKpdsnjJjOM/w-d-xo.html
Hello Damsel, Great content! I have a BS in Physics. Would you recommend I take the Statistics with Python Specialization | Michigan? I'm already planning on taking Machine Learning | Stanford Course after I finish the Python for Everybody Specialization. I felt I was missing some basic skills I think I should have known. That's why I went with the P4E specialization (3 down 2 to go).
Hi! Thanks so much - glad you like the content :) How much statistics knowledge do you have? I imagine you may have taken a course or two during your Physics degree. I think if you feel comfortable with the basics of probability / statistics, you can probably self-teach essential concepts. If you have zero experience with statistics, it may be nice to follow a structured course.
@@damselindata Thanks. I only had most of the upper-division math. The rest was all physics and astronomy. I will take a look at them to see what I am missing.
Very, very unpopular opinion: before starting any ML/DS course or certification program, the student should have already taken the following: - Calculus (1, 2 and 3) - Linear algebra - Introduction to Probability and Statistics I once ran into someone online who was super interested in getting into ML but was surprised to learn that he had to know math. After I explained to him that ML is ALL math underneath the hood, I never heard from him again ☹
Good video! What’s your take on the Google Data Analytics course on coursera for a beginner? I have heard that it’s a great course and would be best effective if supplemented with a course on python. Any thoughts?
Yes this one was in my shortlist and it looked great to me at first glance but I didn’t investigate it as deeply as I did these other three because it’s more focused on analytics than what I consider to be core data science (Python programming with data and stats + machine learning). That being said I do think it’s a perfect place to start for a beginner as it will leave you ready to hop into data analytics with hands on skills. If you supplement it with Python for Everybody it would be a killer combo!
Yes another great one! It was in my short list but I decided to leave it out of this video because it’s more more for a data analyst career path as opposed to a data scientist one
You can always learn more! It just depends how deep you want to go. I would say it’s definitely enough to get started. If you find yourself gravitating towards that side of data science you can keep building your knowledge
I want to learn Python. I have programming experience and code SQL on a daily basis for years. Would you recommend the “statistics with Python” instead of “Python for Everybody” or is it still important to do both?
Hmm I think any of the options you mentioned could work depending on your goals. Python for Everybody may be a bit slow and too beginner for you if you already know how to program, but it's good if you want an in-depth holistic understanding of the language. I would say you can get still get use out of it, but can probably pass on it. Statistics with Python and Applied Data Science with Python are probably a better use of your time if you want to learn to use Python for data science. I would choose based on the reviews and how each course aligns with your goals! Good luck!
@@damselindata thank you so much for replying. A few weeks ago I ultimately decided to take the IBM Data Science Professional Certification you recommended. I just finished the first of the ten courses. It was good. However in looking at the remaining ones I am concerned. I am reading a lot of reviews of complaints that the certificate is VERY heavy in bias to force using IBM Watson account and learn the tech on there. I am concerned that bias will hurt in my overall journey for principal knowledge. Also there is no way my current company will use IBM’s solution. More likely AWS’s. Because of this would you recommend I stop the IBM one and start the “Applied Data Science with Python Specialization” one from University of Michigan that might be less brand bias?
@@Innocinema hi! Yes it definitely does use the suite of IBM tools to apply the skills taught. I agree that IBM tools are becoming less popular in the field of ML with the rising dominance of the three cloud leaders (AWS, Google, Microsoft). If you are looking to learn specific tools, this isn’t the one I would go with. I personally like to advocate that tools are not the point in data science. They will always be changing so there is no point to focus on tools when learning. As long as the tools help you apply the techniques, they have done their job. Everything university of Michigan puts out is amazing, including the data science with Python specialization. If you want to focus on the data science without being stuck with specific tools, it is a good choice to switch to. At the end of the day, read the reviews to find the best match for you. Reviews are your best friend, good job for reading them throughout your learning journey! Hope this helps!
@@damselindata quick follow up. After a lot more research and course planning, my list of certificates I was interested in grew to 2-3 years of work. So instead of aiming for like 6+ certificates, I have decided to take the leap for a Masters of Science in Data Science at University of Colorado Boulder. Thank you for the advice and inspiration! You were very helpful in my search.
R is great! I used R for statistical analysis and modelling before I used Python. Either one is good, but I do recommend Python as it’s more versatile and widely used in the industry
@@SC-bi6my They're pretty similar so either one works! I would go with Python - but focus on data analysis and visualization Python libraries. The main Python library for data analysis is Pandas, and the main libraries for visualization are matplotlib, seaborn and plotly.
@@damselindata Thz. I have not working in data analysis field or work. But I think for visualization, tableau or powerbi is much better in efficient and looking. (Of course it is expensive too..) May be export to rda or csv format after data processing and then import to Tableau is a good choice ?
@@SC-bi6my A lot of companies rely very heavily on Tableau and PowerBI. Both are very powerful tools for creating complex visuals. It really depends what the goal is - usually simple visualizations built in Python / similar are good enough for ad-hoc analysis. More robust dashboarding tools are great for ongoing analysis. And yes you can certainly import into Tableau as a CSV! :)
The cost is $39 / month. It can take you anywhere from 2-12 months to complete depending on if you are studying full time or just a few hours a week. There is a 7 day free trial to check it out before you commit to paying for it! :)
Absolutely! The jobs are super related and there still isn't consistency in the job title definitions - there is a lot of overlap. For more on the differences, check out this video if you haven't already: th-cam.com/video/rKpdsnjJjOM/w-d-xo.html
Power BI is a great tool to be familiar with as a data scientist. However, I think that Python, SQL, machine learning and statistics skills are more important to learn as a beginner.
Has anyone here actually taken the courses? Some of this cannot be “audited” beyond the index without paying first an extra monthly fee ON TOP of the annual membership (like the IBM one) . It looks like she only looked at the index but the delivery and teaching method is actually what you are buying. Anyone can create an outline of the courses in Coursera using Chat GPT. No shade but this is sponsored and the auditing was very superficial. It would be nice an updated version. I can guarantee the affiliate link sales will be worth the time investment ( hopefully more than 4 hours). I gotta be super honest because I would genuinely like to get a more in depth review from you.
MY subjective opinion: You're so charming, Damn i am in love with ya! My objective opinion: Your way of presentation is so good And your content quality is also good.
At Coursera I joined Machine Learning by Andrew Ng (Coursera co-Founder), IBM certification, Statistics by Stanford, and data science courses provided by University of Michigan. I am really grateful that I can accomplished those in time. Now I'm a freelance data scientist and always open for a new challenge in data world. Nice sharing btw. ❤️
Wow - great to hear that you chose a very similar set of courses to me, especially great to hear that they they helped you accomplish your career goals!
@@damselindata That would be valuable to us. Keep on sharing sist. 👍
@@damselindata Would you mind sharing the courses you did?
@@olidialunga8593 I didn't do any data science courses since I learned during my undergraduate degree (math major, computer science minor) and through an internship. I did however audit several data science courses and these were the ones I found to be most useful from my perspective
Hi dear
I did have follow data science certificate course in IBM❤
Thanks for this selection of courses. This is very helpful. I clicked for the content and stayed for the content and the sense of humor.
Thanks so much for the kind words. Glad to hear your found it useful and funny! :)
Congrats Damsel on the sponsorship! 😉
🌟
Thanks so much Data Professor!!! 🤩
Very helpful video. Congrats on the sponsorship too!
Thank you so much! 🙏 Glad you found it useful 🤓
Such an informative and helpful channel! Thank you for the super thorough explanations! :)
So happy to hear you find the videos useful! 🥰
📈
Wow the king of data science TH-cam has spoken 🤩🙌 thanks Ken!
Thank you for the learning path! Btw, Andrew Ng has just updated his course in Machine Learning. You might want to consider checking that out!
You’re welcome and thanks for pointing that out! :)
Congrats on getting sponsorship from Coursera! After spending 4 minutes scouring into the course syllabus, I agree that these courses are great resources for someone aiming for a data science career. However, one thing I am really curious about is that from a hiring manager's perspective, would a certificate play a critical role in finalizing the candidate?
Thanks Ben! I think the certificate itself won’t necessarily play a critical role, but the skills you acquire from completing the certificate will guide you through the recruitment process. I see the certificate itself more as a stamp of approval to move into the hiring process in the first place
@@damselindata Thanks for the inside info, Andjela! Now I am relieved that I did not put my certificates in my CV. I do agree with you that maybe HR tends to check the certificate in the screening process while HM focuses more on the case study/technical test.
Helpful and full of good vibes and fun :D hi, I just discovered your channel, will be staying around watching your videos as I'm getting into data science world. Also, I am spanish speaker so your channel will help me with DS and my english learning :D Thanks a lot!
Thank you so much - very happy to hear you find it useful! ❤️
Hey Damsel, you make really great data science videos ! I totally agree with you that colleges and universities do not teach you “how” to code as I have struggle a lot through this pandemic as a soft-more. Primarily with data structures as it was taught in C++, which fuckin sucked :D. I was wondering in a future video, if you can create sort of a run through video of going over a dataset. And then explain your like thought process. Take care and thank you so much 😝!
Thanks for the kind words! Glad to hear someone had a similar experience to me in early CS courses. I am actually thinking of doing a video on this so thanks for confirming an interest in it!
Thanks for this video. You're definitely right about python libraries doing a lot of the grunt work under the hood, so it's important to know what is going on to solve certain edge cases. Keep up the content, more videos please! One suggestion: we need more diversity in tech, what's your experience?
Thanks so much for the kind words! Glad you like the content. I agree tech needs more diversity - I may make a video with my thoughts on this soon. I appreciate the suggestion!
@@damselindata Not a problem! Looking forward to it.
thank you for this video , im currently on my journey to becoming a coding cutie ☺️i absolutely love your channel and all the helpful information videos you've created :)) thank you !
Yay so happy to hear this! Thanks for the kind words and good luck on your coding cutie journey!
😉 Congrats for your sponsorship. I completed the Google Data Analytics Certificate on Coursera. And finish somo more courses on R, SQL, Statistics. Now I want to make some projects for my porfolio. A video on pojects for beginers would be good and another one on cleaning. Everyone says that you spend a lot of time on cleaning data, there isn´t a good video about it...
Thank you so much for the suggestion! I will add the idea to my list and try to make more videos around the theme of working on data science projects as a beginner.
but also, if you haven't already checked out this video on the end-to-end guide for building your first ML model: th-cam.com/video/KtKZVc0joYQ/w-d-xo.html it may be helpful! Let me know if you have questions.
@@damselindata , Thanks Damsel. I have already watched it. I think that is too much for me. I have a background in Business Administration with no coding experience. I want to make a career change starting as Data Analyst, Data Scientist is the next step. I want to make projects on Tableau, a doubt I have is once is finished the dashboard how to update it with new data. By the way, what is your name? I´m Javier from Madrid, Spain. thanks again
Woohoo.. sponsorship finally.
You are such a help
Thanks so much! Really happy to hear you find it helpful :)
Wow this is great! Cute instructor and clear presentation! God bless you Ma'am!
thank you! glad you found it useful!
Thank you! I want to take these course just to see if this is a career/subject matter I would be interested in.
If you want to gauge interest I recommend the IBM one! It will give you a good end to end overview. Thanks for checking out the channel! :)
This is great...thank you for the information beautiful 😊
Love you, you saved me a lot of time.
Happy to hear you found it helpful!
Must need a video on product analyst role and its career path.
this isn't my area of expertise so I don't think they video would be very good! sorry!
THANK YOUUUU!!!!!!!!!!!!!!!
What song did you use for cuts?
Fav emoji: 👀
YES thanks for participating! You are so welcome. I use only the free sounds available on imovie for all my videos. I'm not sure what they are called but there aren't very many so you can scroll through them.
@@damselindata Song name = Alliance. It's not a full song so that was rather anticlimatic. Thank you! :D
Ahhh such a helpful video!!! 🙂
so so happy to hear you found it useful! :D
What do you think about JHUJohns Hopkins University specialized data science certificate with R? If you don't mention it, it's because his theory is not very important. I would like to know your opinion.
not familiar with that one specifically but most data science courses I have seen out there issued by reputable institutions seem to cover what you need.
Ma'am, you are really an inspiration to me. I'm also a computer engineer with no experience. Now I again re-started my career journey by learning data science (self study).
My question is : Will I get a job ?
Because I have 3 year gap after completion of masters from india. I have no work experience and now planning to move to USA
Thanks so much for the kind words and congrats on taking the leap into data science! You can get an entry level data science job if you can demonstrate your skills through projects. I recommend doing at least one end-to-end data science project, where you
- retrieve the data yourself (by scraping the web or using an API)
- clean the data, build and optimize a model
- deploy the project as a web application using flask / streamlit and Heroku or one of the major cloud platforms.
Check out my “how to build a machine learning model” video for more tips on the project if you haven’t already!
2:34 hahaha me too I never finish one course in coursera xd
Hi, thanks for the video.
I have a question:
What is the next step once these courses are taken? on the way to finding a job
Great question! I have a whole video discussing this. Titled “how to get a job in data science” some other videos on my channel may be helpful as well! :) good luck!
I had some fun with the P4E course and definitely see the value of knowing Python but I stopped after course 2.
My issue is that I work with SQL everyday at work and I was hoping to find a path forward that more heavily biased SQL since I have such a strong foundation already.
More and more I’m seeing utility and career growth with Python and R though which is a little bothersome. SQL isn’t going anywhere, Databases will always exist but people are overlooking the value in favor of other skills.
My hope was to get a foot in the door due to 4 years full time working with SQL and then add Python to the mix but it seems as if most want the Python first and then add SQL skills.
Not only that, SQL courses are hard to come by unless you wanna break off 5k to Oracle, at least on Coursera it seems to be lacking anyway. Thing is, I prefer Coursera for the Plus benefits and certificates that actually carry weight.
“ITProTV” (no hate to those guys) doesn’t look anywhere near as good on a resume as IBM or Oracle.
Rough brah… anyway, thanks for the solid vids!
I know that SQL is not the biggest buzzword in terms of technical skills but don’t be discouraged as it is ESSENTIAL and I’ve personally worked in data science roles where being sharp with SQL is far more important than with python (in cases where the sql requirements are more complex than the python ones). Even tho it doesn’t appear this way in job descriptions, sql is crucial for data work. However, I do agree that it’s not enough for most modern roles. So supplementing with some python will go a really long way. Thanks for checking out the video!!!
@@damselindata appreciate you taking the time to respond and provide your personal insight! I’ll stay the course and see which way the wind takes me!
Love me some Python for Everybody!
YES! It’s the best 🙌
good informative video... Question: I just finish the IBM data science professional cert. what will you recommend as the next? I have been looking at the Coursera specialized courses "Machine Learning Specialization & Statistics with Python Specialization. my goal is, after > 25 yrs in the IT industry, to make a career move/change... ;)
Thank you for the kind words and congrats on finishing the professional cert! For your next steps, you could try browsing through or applying to jobs that you think you could be qualified for. If you aren't ready to apply to any yet, start collecting the key skills that the jobs you are interested in are asking for, and focus on further developing your skills.
If you want to keep learning, I think the ML specialization you mentioned sounds great. As long as your next learning is more specialized in a certain area of data science (maybe something that resonated deeply with you during the IBM cert) you can't go wrong in my opinion. Good luck!
Hi thanks so much for the video. You gave great recommendations of courses. I’m checking out IBM Data science course. What are your thoughts about the data analyst role? What drew you in to do Data Science instead?
Hi glad you liked the video! Data analyst and data scientist are very related roles and sometimes interchangeable (there isn't consistency in the definitions of the job titles as companies still don't always understand the difference). The only thing that drew me to data science is the fact that the first job I found in the field was working as a data scientist intern. Both are great! If you'd like to learn more about the differences, check out this video if you haven't already! th-cam.com/video/rKpdsnjJjOM/w-d-xo.html
Hello Damsel,
Great content!
I have a BS in Physics. Would you recommend I take the Statistics with Python Specialization | Michigan? I'm already planning on taking Machine Learning | Stanford Course after I finish the Python for Everybody Specialization. I felt I was missing some basic skills I think I should have known. That's why I went with the P4E specialization (3 down 2 to go).
Hi! Thanks so much - glad you like the content :) How much statistics knowledge do you have? I imagine you may have taken a course or two during your Physics degree. I think if you feel comfortable with the basics of probability / statistics, you can probably self-teach essential concepts. If you have zero experience with statistics, it may be nice to follow a structured course.
@@damselindata Thanks. I only had most of the upper-division math. The rest was all physics and astronomy. I will take a look at them to see what I am missing.
Love it!!
Thanks Nima!
Very, very unpopular opinion: before starting any ML/DS course or certification program, the student should have already taken the following:
- Calculus (1, 2 and 3)
- Linear algebra
- Introduction to Probability and Statistics
I once ran into someone online who was super interested in getting into ML but was surprised to learn that he had to know math. After I explained to him that ML is ALL math underneath the hood, I never heard from him again ☹
I agree. Math is the foundation of data science!
Good video! What’s your take on the Google Data Analytics course on coursera for a beginner? I have heard that it’s a great course and would be best effective if supplemented with a course on python. Any thoughts?
Yes this one was in my shortlist and it looked great to me at first glance but I didn’t investigate it as deeply as I did these other three because it’s more focused on analytics than what I consider to be core data science (Python programming with data and stats + machine learning). That being said I do think it’s a perfect place to start for a beginner as it will leave you ready to hop into data analytics with hands on skills. If you supplement it with Python for Everybody it would be a killer combo!
And thank you for the kind words!
I think I've fallen in love.
What about the Google Data Analytics Professional Certificate??
Yes another great one! It was in my short list but I decided to leave it out of this video because it’s more more for a data analyst career path as opposed to a data scientist one
@@damselindata Thanks for the super informative response!
What do you think of the 365 data science programme or google cert?
I haven’t looked into them extensively but I’ve seen only positive feedback on both! There are some other great TH-camrs reviewing these options
Is the statisics with python specialization enough stats for data science? Should I see the one from MIT edX too or some from udacity?
You can always learn more! It just depends how deep you want to go. I would say it’s definitely enough to get started. If you find yourself gravitating towards that side of data science you can keep building your knowledge
Also if you already know Python, you can do a more theory-heavy stats course than the one I recommended
@@damselindata thank you
I want to learn Python. I have programming experience and code SQL on a daily basis for years. Would you recommend the “statistics with Python” instead of “Python for Everybody” or is it still important to do both?
Or would you recommend something like “Applied Data Science with Python Specialization”?
Hmm I think any of the options you mentioned could work depending on your goals. Python for Everybody may be a bit slow and too beginner for you if you already know how to program, but it's good if you want an in-depth holistic understanding of the language. I would say you can get still get use out of it, but can probably pass on it.
Statistics with Python and Applied Data Science with Python are probably a better use of your time if you want to learn to use Python for data science. I would choose based on the reviews and how each course aligns with your goals! Good luck!
@@damselindata thank you so much for replying. A few weeks ago I ultimately decided to take the IBM Data Science Professional Certification you recommended. I just finished the first of the ten courses. It was good. However in looking at the remaining ones I am concerned. I am reading a lot of reviews of complaints that the certificate is VERY heavy in bias to force using IBM Watson account and learn the tech on there. I am concerned that bias will hurt in my overall journey for principal knowledge. Also there is no way my current company will use IBM’s solution. More likely AWS’s. Because of this would you recommend I stop the IBM one and start the “Applied Data Science with Python Specialization” one from University of Michigan that might be less brand bias?
@@Innocinema hi! Yes it definitely does use the suite of IBM tools to apply the skills taught. I agree that IBM tools are becoming less popular in the field of ML with the rising dominance of the three cloud leaders (AWS, Google, Microsoft). If you are looking to learn specific tools, this isn’t the one I would go with.
I personally like to advocate that tools are not the point in data science. They will always be changing so there is no point to focus on tools when learning. As long as the tools help you apply the techniques, they have done their job.
Everything university of Michigan puts out is amazing, including the data science with Python specialization. If you want to focus on the data science without being stuck with specific tools, it is a good choice to switch to.
At the end of the day, read the reviews to find the best match for you. Reviews are your best friend, good job for reading them throughout your learning journey!
Hope this helps!
@@damselindata quick follow up. After a lot more research and course planning, my list of certificates I was interested in grew to 2-3 years of work. So instead of aiming for like 6+ certificates, I have decided to take the leap for a Masters of Science in Data Science at University of Colorado Boulder. Thank you for the advice and inspiration! You were very helpful in my search.
I think R may be also great, compare to Python?
R is great! I used R for statistical analysis and modelling before I used Python. Either one is good, but I do recommend Python as it’s more versatile and widely used in the industry
@@damselindataI am just learning R and Python. What do you think in the area of data analysis and visualization? Which one is easy to learn and use?
@@SC-bi6my They're pretty similar so either one works! I would go with Python - but focus on data analysis and visualization Python libraries. The main Python library for data analysis is Pandas, and the main libraries for visualization are matplotlib, seaborn and plotly.
@@damselindata Thz. I have not working in data analysis field or work. But I think for visualization, tableau or powerbi is much better in efficient and looking. (Of course it is expensive too..) May be export to rda or csv format after data processing and then import to Tableau is a good choice ?
@@SC-bi6my A lot of companies rely very heavily on Tableau and PowerBI. Both are very powerful tools for creating complex visuals. It really depends what the goal is - usually simple visualizations built in Python / similar are good enough for ad-hoc analysis. More robust dashboarding tools are great for ongoing analysis. And yes you can certainly import into Tableau as a CSV! :)
came for the knowledge, stayed for the humor
Whats the amount of IBM certification?
The cost is $39 / month. It can take you anywhere from 2-12 months to complete depending on if you are studying full time or just a few hours a week. There is a 7 day free trial to check it out before you commit to paying for it! :)
So what most would like to know is, would any of these help us get a job as a Data Analyst?
Absolutely! The jobs are super related and there still isn't consistency in the job title definitions - there is a lot of overlap. For more on the differences, check out this video if you haven't already: th-cam.com/video/rKpdsnjJjOM/w-d-xo.html
What about power BI?
Power BI is a great tool to be familiar with as a data scientist. However, I think that Python, SQL, machine learning and statistics skills are more important to learn as a beginner.
@@damselindata thank you
You're the best.
Thanks for the kind words :) glad you liked the video!!!
Has anyone here actually taken the courses? Some of this cannot be “audited” beyond the index without paying first an extra monthly fee ON TOP of the annual membership (like the IBM one) .
It looks like she only looked at the index but the delivery and teaching method is actually what you are buying.
Anyone can create an outline of the courses in Coursera using Chat GPT. No shade but this is sponsored and the auditing was very superficial. It would be nice an updated version. I can guarantee the affiliate link sales will be worth the time investment ( hopefully more than 4 hours). I gotta be super honest because I would genuinely like to get a more in depth review from you.
Cutest Data Scientist on the block
Congrats!! ✨
Ou I love this one!!! Also one of my faves. Thanks!
Wish I would have watched this video before I learned data science online :(
lol next time 😄
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Yes! Hugging Face! Love it thanks for participating 😄
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I like how you say shapes
Haha thanks!
@@damselindata Lol you welcome sweetie
MY subjective opinion:
You're so charming,
Damn i am in love with ya!
My objective opinion:
Your way of presentation is so good
And your content quality is also good.
Thank you very much! Glad you found it useful :)
Very very informative and funny
thank you!
OMG. Data science nerdy and beautiful/gorgeous woman I think Im in love
;)
thanks for participating!!!! :D
Wow you pretty
I love your smile
Thank you!
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Love it - thanks for participating!!!
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Unique one - thanks for participating!
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