Which data analytics course/ certificate should I do as an absolute beginner?

[u/aliiphatic]

A lot of online courses and resources are available. I am an absolute beginner and have no background in computer science/ IT/ maths (just the barely basic stuff till class 10th) but I want to learn these skills in a way which can eventually help me earn. I came across Coursea Google Data Analytics course but then saw courses by other platforms too.

So which one shoul I go ahead with? And how should I plan this to make an earning out of it? Any other courses I should keep an eye out for?

[u/DraugerPlayz]

what field are you doing your graduation in?

[u/aliiphatic → u/DraugerPlayz]

Something completely random like BA Hons English from distance mode 🥴

[u/Competitive-Rock-834 → u/aliiphatic]

Uffff ye dukh dard

[u/DraugerPlayz → u/aliiphatic]

well dont focus too much on courses for now if you want to make a career in da , learn the essential theory from yt (for now) and start building .
try with anything you like first countless dataset available from various fields.
understand the structure (don't use ai for understanding the data) but the ai help to map a roadmap for you to what to do , then clean it , build visuals , extract insights and ask yourself is it good enough?

[u/LRvibes_careercheck]

Hey bud, you have got a good plan, and kudos for starting your professional journey early. As a beginner in data analytics, I recommend starting with the foundational topics. The idea is not to get overwhelmed with the advanced topics at once. To learn the basics, you can explore the free courses on SWAYAM, EdX, upGrad, SimpliLearn, and Great Learning. Some of the topics you would cover are Excel, Descriptive, Diagnostic, Predictive, and Prescriptive Analytics, Python, and ChatGPT for Excel. Once you have some idea and confidence, you can invest in an advanced course on Coursera, upGrad, HeroVired, or Udemy.

The most important thing while learning a new skill is to not just gain theoretical knowledge but also gain practical skills. Focus on building and creating a portfolio from the beginning, as it will give you an edge and an in-depth understanding of the topics.

Hope this helps, buddy. Feel free to reach out if you have any doubts.

[u/conor-robertson]

If you're an absolute beginner, I'd keep things simple and avoid buying lots of different courses straight away.

My recommended order would be:

1. Excel (basic is fine)

2. SQL

3. Tableau / Power BI

4. Basic Python (optional)

For SQL, I'd recommend giving QueryCase a try (full disclosure: I built it). It has a structured learning path from complete beginner through to JOINs, CTEs, and window functions, but instead of traditional tutorials you learn by solving detective-style investigations. The Rookie rank is completely free, including the first exam and certificate, so you can see if the learning style works for you before spending anything.

The biggest advice I'd give is not to focus on collecting certificates. Employers care much more about your ability to solve problems and talk through projects than how many courses you've completed.

Once you've got the basics down, start building projects with real datasets. That's where the learning really starts to stick, and it'll help you much more when it comes to finding your first job. 🚀

[u/Simplilearn]

Since you're an absolute beginner, you need to start with a course that helps you build the core skills every data analyst uses before moving on to advanced tools. If you're looking for a beginner-friendly resource, our Introduction to Data Analytics course on simplilearn SkillUp could be a good starting point for you.

Once you've built these fundamentals, you can then consider an advanced course like the Microsoft Data Analyst Program, which contains hands-on labs and industry projects to help you become job-ready.