Self explanatory: I am getting into using Python for data analysis as the IBM Data Science Program and I need some community and/or accountability to stay dedicated to it. With a full-time job that actually requires more than 40 hrs/week and a newborn to care for, it feels easy to blow off assignments or dedicating time to coding and practice. I truly want to get better in this arena, so I want to set myself up for success. If you guys have any suggestions or resources to help out I'd appreciate it! If anyone else is in this program, please reach out and I'd love to connect. Thanks

I'm a complete beginner and I want to get into data analysis is this course good for learning python. Please let me know !!!

Hi guys so I am a new learner in python. And I just learnt python basics 2 weeks ago and been practising some questions . I am really enthusiastic about data science and therefore wished to learn numpy and pandas next. So will this course be great for it ? Since it is giving out a certificate for completion also.

I am currently doing an internship in data analytics but it's more focused on email marketing where I unfortunately don't deal with big data and can't learn much(except Tableau, great tool).

Hence, I'd like to take some online courses on data analytics (SQL, Python, AWS, etc) but not sure where to start. I came across the IBM Data Analyst Certificate and it seems like a good start, but is it really worth it? Will I get any practice from it?

Ultimately, my goal would be to learn new skills and get some relevant experience that I could show on the next interview.

Any tips on how I should get started? And how could I get the practical experience?

Thank you in advance!

Hey guys! So I work as a Data Analyst with SQL, Tableau and Excel but I would like to take the next step which is programming with python for Data Analysis.

Can anyone recommend a course or bootcamp for this? I have 0 programming experience btw. I dont want to learn things out of my scope like creating apps or scraping the web.

I want to learn something useful for my job. For example I would like to be able to predict when a user will churn, how to predict the customer lifetime value, how to do machine learning in ways that will help the company and make me more valuable. I believe I need to learn pandas,numpy, seaborn, pyspark, tensorflow, matplotlib etc.

Thanks for the help!

I started it as a novice with some understanding of statistics and some coding experience in Python, MATLAB, and C++.

I keep coming back to this metaphor but it feels apt: I feel like I just wanted to learn to make soup, and all I needed was a knife, cutting board, pot, and spoon, but IBM kept pushing the Slapchop and immersion blender and other "fancy" kitchen gadgets on me, without ever giving me a chance to get comfortable with making consistent progress in a minimalist, simple environment that I could learn to set up from scratch.

I basically only worked in notebooks, but I used IBM's Skills Network Labs to use them. I could download the notebook directly from Coursera and set them up directly on my computer, but IBM seldom gave specific instructions for an individual lab to make it work with Jupyter on your desktop with your operating system when there was a specific command that wouldn't work, which isn't huge but that little bit of friction is annoying and, to me, debilitating when I'm trying to learn a new concept after working a full day. Hitting a roadblock that isn't supposed to be part of the lesson is incredibly frustrating.

Often the servers were down for Skills Network Labs, which is a huge problem when the assignment is to be done in an IDE that you can't download. When learning SQL I was using data from their DB2 database, for which the servers were often down. The different courses/modules were created by seemingly dozens of different people, with no consistent teaching style and mistakes littered throughout the entire thing, both design mistakes and English mistakes. I had to use Watson Studio, which was often down/unavailable. The user interface of Cloud Pak could be improved; I had to use Google to find the login to use Watson Studio every time.

I learned a lot about different tools that are available that I wasn't aware of, I learned a lot about the data science ecosystem for which I had no frame of reference, and I learned some basics of ML. But it's incredibly difficult to advance in coding when your coding environment is constantly changing and having problems. I know I've learned a lot, but I still feel like there will be a lot of friction before I feel comfortable to start a totally self-built project.

I'm grateful for the course and everything I learned but I guess even for a non-credit online course, for $40/mo I expected more from a blue chip company like IBM.

I am doing medical research and I want to use python for data analysis but I don’t know how and I know nothing about it.

I started a course on coursera from IBM and watched the first 4 videos and felt that its really hard that I understood nothing yet.

Is there any more simplified course you know about especially in coursera? Or I should continue the course and I will understand more when I complete it ?

Course link: https://coursera.org/learn/python-for-data-visualization

The course I'm referring to is this one.

I'm wondering if anybody has taken it before? I'm looking to get some learning resources (and if they offer a certificate that's a plus) for data science. I've taken Andrew Ng's original Coursera course and have tried stuff on Kaggle, but wanted to take a look into a more thorough data science learning thing.

If there are any others that anybody feels like recommending, that'd be greatly appreciated.

Thanks!

I want to learn further about either data analytics or data science. I'm still gathering information between these two fields. Which one is your recommendation between the two courses?
Thanks!

I'm currently in Accounting/Finance and wanted to get into more of an analyst role. I have taken some python basics during my undergrad and started to develop an interest in coding after working in the Accounting/Finance field for 3-4 years. Would you say the IBM Data Science Professional Certificate is a good place to learn the basics?

Hello everyone,

I'm looking to invest in my data analysis skills and I'm considering paid resources to ensure I get high-quality and credible training. I know there are a lot of free resources out there; however, I'm considering paid ones because I want a widely recognized and credible certificate that I can use to showcase my skills. I've heard a lot about various courses and certificates but would love to hear from this community about your experiences and recommendations.

Specifically, I'm interested in the following:

• Coursera Courses: I've seen highly rated programs like the Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate and the Meta Data Analyst Professional Certificate. What are your thoughts on these? Are they worth the investment in terms of content, recognition, and career advancement? I am particularly interested in different opinions on the Meta Data Analyst Professional Certificate. It is new, and there aren't many reviews of it.

• DataCamp: I know DataCamp offers a range of courses and career tracks in data analysis and data science. How does it compare to Coursera programs?

What do I think?

• Coursera: It seems more credible to me with its more recognized certificates.

• DataCamp: I think one can get a better and more interesting learning experience, and it's cheaper. However, I'm not sure how recognized its certificates are.

Additionally, if you have experience with other paid resources, such as Udacity's Nanodegree programs or edX certifications, please share your insights.

My primary goals are to:

1. Gain a solid foundation in data analysis techniques and tools.

2. Earn credible certifications that are recognized by employers.

3. Learn practical, hands-on skills that I can apply in real-world scenarios.

Your feedback on the best paid resources for learning data analysis would be greatly appreciated. Thanks in advance for your help!

What do you need learn from Python language to perform Data analysis ? (i.e. How to begin ? As you all know Python is vast)

I'm currently in a huge Rabbit hole because I don't understand where to begin.

Any tutorial recommendations could be really helpful to start somewhere.

In this video, we reviewed python for data science, artificial intelligence and development course, which is part of IBM Data analyst professional certificate, and discussed the content of the course.

Video is here

Hey r/learnpython,

i'm a grad student in econ, and i got very interested in data science and big data. I have the statistics skills, but what I lack is the programming part. I recently talked with the CEO of a local firm who develops mathematical models and data analysis, and he suggested me to learn on coursera and fast.ai . So I went on Coursera, and found this: https://www.coursera.org/professional-certificates/ibm-data-science

Is it worth it? Do you think there are better options?

Hey all,

I want to learn python to go into business analytics or data science, and I don't really know where to start with Python. Are there any online courses or videos you'd recommend, as well as what topics to start with and then go about.

As well as any general tips or anything to know about Python since I have very limited know6, thanks :)