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haybhi1:
Hi, first off, I'm an undergraduate in a medical field, but highly sapa-motivated.

I started taking 6-month Google Professional Data Analysis course on Coursera. It has 8 modules that explain the phases and stages of the programme and its tools. I'm currently at the fourth module, Process data from dirty to clean module. I've been exposed to different interesting tools, such as Kaggle, SQL, Tableau, Spreadsheets, and some others, as well as techniques like Foundations, Asking Questions for Data-driven Decision-making, Prepare Data, and Process Data. Analyze Data, Share Data, R programming, a major Case Study are the four modules left to explicitly cover for me to acquire the certificate.

My question is, please, can I use this knowledge and certificate to earn money as soon as I earn it?

PS: I'm also taking a 3-month Data Science course on the side. It's sponsored by an organization in the school, so I feel its certificate is inferior, I'm only banking on it's experience.

You are on the right track, but note that if most cases, you have to build a career out of data analytics. It's not a get rich quick process. The Google Data Analytics course is very good, I can attest to that as I've gone through their materials.

When you're done, keep practicing and loot for an internship/volunteer opportunities. There's many Data for Good organization that recruit data analyst interns. This will start giving you real life appreciation and understanding of analytics concepts.

In terms of certificate, it doesn't matter in my opinion. I just completed hiring a Snr Data Analyst and the process took 4 months. I interviewed 38 candidates and my colleagues also interviewed some. When screening for resumes, I really don't care about the certification. I go to the practical experience section. Many people are able to game the system and write what is required there. But when I do first round interview for them, they don't understand A/B testing, regression or other concepts expected for a senior role

Summary, complete the program, gain practical experience, then look for a junior analyst role. You can also freelance

Cjizzy:
I started recently, I am learning Excel from the scratch again and trying practice exercises too..
After then, I'd move to SQL..

It's actually interesting..

Good plan. I see people that start from learning Python. Nah. At lot of data analytics is done with SQL and Excel/Google Sheet. Plus loads of soft skills

ANON333:

Hold on biggest of men. I tried one time to acquire this data analysis skill, and I was billed 800k for a six months program. Do you know of cheaper options?

Like most things, training cost varies from $0 on YouTube to $10K+ for some bootcamps. Some even to to do Masters in Analytics, and that costs a lot. I see some 2k Naira training sometimes on WhatsApp.

Before paying for any training, research the profile of the person teaching you. Make sure it's a professional, not someone that just downloaded materials online.

Also, check YouTube videos and take free Coursera courses, like Google Analytics course. That will let you know if you want to go all in and pay for a more detailed course.

haybhi1:


Why would you want to close the thread? You have no idea how many people would take benefit of the group? Some people would would take max advantage haven't even seen it yet. I feel a bit euphoria when I stumbled on it just this night. No close am o... make we no tear you swear o

Okay, I've heard. I'll be checking in to answer new questions

No new questions. I guess its time to close the thread. Thanks all

Of course, she's right. It's not easy to build and run a business. And business is business, nothing personal.

Your friend's mum has been running her business for years, I assume, and even sent your friend to school with money from the business.

So she knows what's best for her business.

Also, good workers is hard to find nowadays, so you don't like an entitled child just come and chase them away.

There's seniority and she just can't walk in, and start giving orders.

Pick any of the reasons above

princeemma69:
I wish this will be taken to the front page.
Sir, as someone studying Economics and is not good in maths, which of these; data analytics, data science, business intelligence, BI Developer, will you recommend me to learn

2. How many months can I use to learn data analysis or business intelligence?
3. What are Websites or platforms to get entry-level jobs
Thanks

Hello.
1. It depends on my interest and ability. But definitely not data science. You need to understand statistics to excel at that. If you generally do not like numbers, them not data analysis as well. If you think you are thorough and can do things like setting up database systems, building data pipelines, building dashboards etc, then maybe you can consider BI Developer.

2. Unfortunately, not what you want to hear, but it depends. If depends on you current skill sets, how frequent you're learning and how quick you're able to understand new concepts

3. Leave this for now. Focus on the skills.

Now beyond the questions above. I'll recommend you focus on graduating from your current economics degree. On the side, you can learn SQL first and see if the data world is for you.

Cheers

Mstechy:


I studied philosophy in a Nigerian University and I am on the move to reinvent myself by venturing into tech... likely data analysis.

Please recommend skills I need to learn
And good places to learn them too

And any general tip on my career path... thanks.


Currently I have self learned... Excel and MySQL...I am on python now

It's great you are learn these skills. But beyond individual tools, you need to develop your analytical thinking. Data analytics is not just about writing SQL queries. It's about generating insights from data.

I'll recommend you check Kaggle or other sources for actual projects to work on. That will help you tie all these skills together.

Also, you need some form of work experience. Not necessarily in analytics. It will help with your business thinking.

So it's either you have lots of funtional/domain knowledge and little analytical experience or little domain/functional knowledge and lot of analytical knowledge to get an analytics job. You can't be lacking on both front..

Summary, work on end to end project. Get some experience, maybe via internship or volunteering or junior roles.

Cheers

tonicyril:


Hey bro, good day sir..

Tho my questions might not specifically base on data analytics but still related sir...

1) can someone with mysql knowledge delve into data analytics?
2) How easy/hard it is to find an entry software engineering position in canada(for someone who is about to migrate)

Hello.
1. Yes, MySQL will be very helpful. Most companies use systems with SQL server or PostgreSQL, but the syntaxes are similar

2. Entry level is becoming difficult, because many people are doing software development trainings with no experience. So entry positions are highly competitive and you probably need to network for it.
There are more opportunities for senior/experienced positions

I'm an analytics manager with a fortune 500 company in North America. I work remotely and have my team across US, Canada, and other countries in Europe and Asia. I've had an extensive career with many global companies across 3 continents. I've trained and mentored many data analysts. I routinely conduct interviews for senior data analysts in all the companies I've worked.

I see a lot of interest in analytics on Nairaland, and also many "courses" on it. Some of the information there are misleading, and not practical.

Ask me anything about a career in data analytics, interview prep, job search strategy, how to pivot to analytics, what we look for in resume, and any other related topics on career in analytics.

Notes:
- I have nothing to sell.
- I will only respond to relevant questions on careers in data analytics, data science, business intelligence, BI Developer, Data Engineering and related careers.

Cheers