Hello, I am a Informatics and Telecommunications student and I am interested in learning more about Data Analytics. I already have knowledge on Informatics through University so I am not a complete beginner. I saw those 2 certificates and they both seemed very interesting for a beggining in this field. But I am having trouble in choosing. I want to gain as much knowledge as possible in this field in order to slowly start working. Which of these would you recommend? Do you maybe have any other recommandations on how to start? Thank you

TL;DR: After researching Google, IBM, and DataCamp for data analytics learning, DataCamp absolutely destroys the competition for beginners who want Excel + SQL + Python + Power BI + Statistics + Projects. Here's why.

Disclaimer: I researched this extensively for my own career switch using various AI tools to analyze course curriculum, job market trends, and industry requirements. I compressed lots of research into this single post to save you time. All findings were cross-referenced across multiple sources, but always DYOR (Do Your Own Research) as this might save you months of frustration. No affiliate links - just sharing what I found.

🔍 The Skills Every Data Analyst Actually Needs (2025)

Based on current job postings, you need:

• ✅ Excel (still king for business)

• ✅ SQL (database queries)

• ✅ Python (industry standard)

• ✅ Power BI (Microsoft's BI tool)

• ✅ Statistics (understanding your data)

• ✅ Real Projects (portfolio building)

😬 The BRUTAL Truth About Popular Certificates

Google Data Analytics Certificate

❌ NO Python (only R - seriously?)
❌ NO Power BI (only Tableau)
❌ Limited Statistics (basic only)
✅ Excel, SQL, Projects
Score: 3/6 skills 💀

IBM Data Analyst Certificate

❌ NO Power BI (only IBM Cognos)
🚨 OUTDATED CAPSTONE: Uses 2019 Stack Overflow data (6 years old!)
✅ Python, Excel, SQL, Statistics, Projects
Score: 5/6 skills (but dated content) 📉

🏆 The Hidden Gem: DataCamp

Score: 6/6 skills + Updated 2025 content + Industry partnerships

What DataCamp Offers (I’m not affiliated or promoting):

• ✅ Excel Fundamentals Track (16 hours, comprehensive)

• ✅ SQL for Data Analysts (current industry practices)

• ✅ Python Data Analysis (pandas, NumPy, real datasets)

• ✅ Power BI Track (co-created WITH Microsoft for PL-300 cert!)

• ✅ Statistics Fundamentals (hypothesis testing, distributions)

• ✅ Real Projects: Netflix analysis, NYC schools, LA crime data

🔥 Why DataCamp Wins:

1. Forbes #1 Ranked Certifications (not clickbait - actual industry recognition)

2. Microsoft Official Partnership for Power BI certification prep

3. 2025 Updated Content - no 6-year-old datasets

4. Flexible Learning - mix tracks based on your goals

5. One Subscription = All Skills vs paying separately for multiple certificates

💰 Cost Breakdown:

• Google Data Analytics Certificate $49/month × 6 months = $294 Missing Python/Power BI; limited statistics

• IBM Data Analyst Certificate $49/month × 4 months = $196 Outdated capstone project (2019 data); lacks Power BI

• DataCamp Premium Plan $13.75/month × 12 months = $165/year Access to 590+ courses, including Excel, SQL, Python, Power BI, Statistics, and real-world projects

🎯 Recommended DataCamp Learning Path:

1. Excel Fundamentals (2-3 weeks)

2. SQL Basics (2-3 weeks)

3. Python for Data Analysis (4-6 weeks)

4. Power BI Track (3-4 weeks)

5. Statistics Fundamentals (2-3 weeks)

6. Real Projects (ongoing)

Total Time: 4-5 months vs 6+ months for traditional certificates

⚠️ Before You Disagree:

"But Google has better name recognition!"
→ Hiring managers care more about actual skills. Showing Python + Power BI beats showing only R + Tableau.

"IBM teaches more technical depth!"
→ True, but their capstone uses 2019 data. Your portfolio will look outdated.

"DataCamp isn't a 'real' certificate!"
→ Their certifications are Forbes #1 ranked and Microsoft partnered. Plus you get job-ready skills, not just a piece of paper.

🤔 Who Should Choose What:

Choose Google IF: You specifically want R programming and don't mind missing Python/Power BI

Choose IBM IF: You want deep technical skills and can supplement with current data projects

Choose DataCamp IF: You want ALL the skills employers actually want with current, industry-relevant content

💡 Pro Tips:

• Start with DataCamp's free tier to test it out

• Focus on building a portfolio with current datasets

• Don't get certificate-obsessed - skills matter more than badges

• Supplement any choice with Kaggle competitions

🔥 Hot Take:

The data analytics field changes FAST. Learning with 6-year-old data is like learning web development with Internet Explorer tutorials. DataCamp keeps up with industry changes while traditional certificates lag behind.

What do you think? Anyone else frustrated with outdated certificate content? Drop your experiences below! 👇

Other Solid Options:

• Udemy: "Data Analyst Bootcamp 2025: Python, SQL, Excel & Power BI" (one-time purchase)

• Microsoft Learn: Free Power BI learning paths (pairs well with any certificate)

• FreeCodeCamp: Free SQL and Python courses (budget option)

The key is getting ALL the skills, not just following one rigid program. Mix and match based on your needs!

It's a harsh reality, but after reading so many horror stories about people being scammed I felt the need to broadcast this as much as I can. Certificates will not get you a job. They can be an interesting peek into this career but that's about it.

I'm sure there are people that exist that have managed to get hired with only a certificate, but that number is tiny compared to people that have college degrees or significant industry knowledge. This isn't an entry level job.

Don't believe the marketing from bootcamps and courses that it's easy to get hired as a data analyst if you have their training. They're lying. They're scamming people and preying on them. There's no magical formula for getting hired, it's luck, connections, and skills in that order.

Good luck out there.

I’m considering taking the IBM Data Science Professional Certificate on Coursera to kickstart my career in data science. For those who’ve taken it, does it provide practical, job-ready skills and enough depth to stand out in the field? Any feedback on your experience would be greatly appreciated!

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.

So I mean this in the sense of is it worth trying as a gateway to data analytics. I am a relatively recent CS grad (December 2020) that is currently working as a developer and not liking it too much and was considering trying this certification program to see if I may prefer a Data Analyst position. Anyone have any thoughts?

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!

Hello everyone :)

I have a degree in finances and I would like to be a BA in this field. Is the IBM certificate worth it to start and applying it to finance?

Any response will be very appreciated. Thank you c:

I've signed up for the IBM Data Science cert on Coursera. 9 Modules, and the classes seem doable -- I think I can probably finish it within three months time.

Does anyone have any experience with this cert/ certs in general?

I don't expect it to land me a job, but if it catches the HR's eye and lands me a phone interview, then that would probably be enough to justify its worth.

And I'll probably learn a thing or two in the process! (I'm still only a few months into my data science journey)

I need some guidance. I took the IBM data analyst professional certificate on coursera as an introductory course and after reaching the 4th course I was so disappointed and when i checked the reviews of the rest of the courses they were all frustration... Also the google data analytics professional certificate is as bad as the IBM.. My question is i've been checking the internet for introductory courses for a data analysis career and I stumbled on Datacamp but they don't feature a review system currently. So Do you recommend Datacamp for me? And if you have any recommendations please do tell. Thank you for your help and your time is much appreciated.

Hi, Could anyone give me a review of this course in. Is it good or bad?, Worth investing time or not. It would be great if you guys can give a genuine and honest review.

Background. I have 2 yoe in SQL and excel. My company is paying for these certifications such as or Google DA course , Data Warehousing for Business Intelligence, IBM AI Engineering Professional Certificate

Does anyone have any experience with this cert/ certs in general?

I don't expect it to land me a job, but if it catches the HR's eye and lands me a phone interview, then that would probably be enough to justify its worth.

Which one is better? Can I get an entry level job with just a certification?

If it take 3 months to complete, it'll end up costing close to 120 dollars. Has anyone taken it that can justify the cost? Do employers really care about the certificate? Any input is appreciated!

Hi everyone,

I’m planning to transition into the data analytics field, and I’m considering taking an online certification to help boost my resume and confidence.

Right now, I’m stuck between:

Google Data Analytics Professional Certificate

IBM Data Analyst Professional Certificate

Both are on Coursera, cost about the same (~$50/month), and seem well-structured. But I want to make sure I choose the one that gives me the best chance of landing a job.

❓Questions I’d Love Input On:

Have you taken either of these courses? (or both?)

How long did it take you to finish?

Did the certificate help you get interviews or a job?

Which one has more practical projects and job-ready content?

Do employers actually care about these Coursera certificates?

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!

Looking for opinions on this course. I might take it so I just wanted to see if others have taken it and what they thought about it!

Hi everyone.

Im trying to advance my IT Security and Cybersecurity knowledge. I already have 3 years of expercience and I want to advance more. I feel that I need deeper understanding of IT and security concepts.

I came accross IBM Cybersecurity Analyst Professional Certificate course on Coursera. Can you tell me is it worth it and does the course cover overall it security tools and concepts not just using IBM tools. And aswell is it like a hands on course?

Here is the link of the course: https://www.coursera.org/professional-certificates/ibm-cybersecurity-analyst#outcomes

Thank you and keep learning