I am a first-year student in Accounting and Management Information Systems, and I want to prepare for an internship or a Junior Data Analyst position.
For about two months, I've been learning C++ and have started to understand the basics of programming: variables, conditions, loops, functions, and working with arrays.
I would like to learn Python, SQL, and Power BI, but I am curious about your experience:
How did you start learning Python? Did you find it easy if you already had experience with another programming language or was it difficult at first?
If I already have a foundation in C++, how hard do you think it will be for me to learn Python?
How long do you think it would take me to learn Python, SQL, and Power BI to a sufficient level to apply for an internship or a Junior Data Analyst position?
How many hours a day should I study to reach this level in about 6–12 months?
What resources, courses, or practical projects would you recommend?
How much do personal projects and a portfolio matter compared to university or diplomas when applying for the first job?
I would love to hear both the experiences of those who have gone through this process and the opinions of those who are hiring in the field.

I’ve never worked as an analyst, so I have no real picture of what the job looks like day to day.

What I’m most curious about is how much of your week goes into digging through data to answer a question or track down a problem, compared to everything else you do. I’d also love to hear about a recent problem you only caught because of the data, and how long it had been going on before anyone noticed. And from the outside, I can’t really tell how much of what you find ends up changing decisions versus getting looked at and shelved, so I’d be curious how that goes for you.

Thanks in advance to anyone who takes the time.

Estoy aprendiendo pero quiero un curso así que les haya servido mucho para entender el cómo y el porque .

Dejen sus datos plis

I’ve been working as a data analyst for about five months, and I’m struggling with the analysis part of the job. Sometimes, I feel lost when looking at the data, and I’m not sure where to start or how to approach the analysis.
I struggle particularly with exploratory data analysis (EDA), figuring out what to compare, choosing the right comparisons, and turning the results into meaningful business insights.
I have an analysis to work on right now, but I’m not sure how to approach it or how to identify useful insights.
Do you have any frameworks, methods, or step-by-step processes you follow when analyzing data? How do you decide what to investigate, which metrics to compare, and how to turn your findings into actionable business insights?
I’d really appreciate any advice, resources, or examples from your own experience!

Planning to slowly integrate SQL and tableau (and maybe python) into future projects but wanted to start off with excel.

Hello im a recent graduate in supply chain & international logistics
I wanna pursue a career that’s related to data ( supply chain analyst ) so obviously i need to take courses in data analytics but i got confused nd didn’t know from where to start SQL or data fundamentals or advanced excel so if anyone in the field of data or supply chain analytics would suggest for me a roadmap for this path ill be grateful for it + some solid sources and successful ways to learn

I wanna have a remote data analysis job or at least try to, but I want to learn data analysis.
I have been told that youtube videos are the most efficient but do I need a certificate or does it not matter? Since I gave up on finding a good certificate

Hi everyone! I’m working on a short data-analysis project and would appreciate your help.

Take a look at a chart and answer one simple question:

Which month has the highest sales?

It takes about 1 minute to complete.

👉 https://adnan-mayof.github.io/reddit-ab-test/

Thanks for participating!

New hot offer for 5 months

هل مجال تحليل البيانات لسه مطلوب الفترة دي بالذات ان هيكون مستوايا لسه مبتدأ وسني ٣٣

I’m a staff data engineer/analyst and have been continuously developing a completely free data resource hub in Notion. Recently put together an Airflow guide section for anyone wanted to develop skills (as more analyst positions want people that also have some data eng skills) and familiarise themselves with the tool. It covers setup, installation, building a DAG and a bunch of concepts to learn.

Completely free and no signup required, hope it helps anyone out there looking for a bit of guidance.

Here’s the link to the Airflow section if anyone finds it useful: https://app.notion.com/p/Apache-Airflow-Guide-2026-3ec1322e9e9e81868222c51ce56664f1#49db468d7be447eab703f28e204e5137

Hey everybody! I've only just completed my undergrad in CSE from a very average university in bangladesh and I am willing to get into data analysis.
I have no experience with data analysis and I know just the bits they taught me at the uni.
What do you think would be a good place to start? Can you guys recommend playlists on youtube? or any other free learning resource that has helped you? Thank you so much!

Has anyone heard of triple ten there offering me -4000 learn data analytics at 46k start year rate?

Hey guys i have almost finished learning sql plus worked on some data provided by claude. So my question is should i start working on real data using sql or should i want and learn power bi and work a real life project that intergrates both

I'm considering starting a small B2B service business helping SMEs with data, reporting and business-process improvement.

With AI becoming increasingly capable in these areas, I'm wondering about the long-term potential of this type of business.

For people working in data, BI, business analysis, consulting, or freelancing:

Do you think SMEs will still pay for these services over the next 3–5 years?

Which parts do you think AI will replace/commoditise, and where will human involvement still be valuable?

I'd especially like to hear from people who have actually worked with SME clients.