In today’s digital-first world, data is everywhere… but the skill to analyse it? That’s what sets you apart.
If you’ve ever wondered how to start data analysis skills from scratch, the good news is — it’s not as hard as you think. Whether you’re a student, a mid-career professional or someone switching careers, you can start your journey with a good data analyst training program & grow your skills from day one.
This blog is your data analytics career starter guide, complete with step-by-step actions, course suggestions, tools to explore & pro tips on staying job-ready. So, let’s dive in…
Why Learn Data Analysis for Beginners in 2025?
We’re living in the age of information… but raw data is useless without interpretation.
That’s where data analysts come in — they turn data into stories, dashboards, decisions & strategy. Learning this skill opens up doors across industries like healthcare, finance, e-commerce, marketing & tech.
And here’s the kicker — data analysis doesn’t require a tech background to start. You can learn it online, build real-world projects & land your first role… all without quitting your job.
💡 Explore this blog on Top Paying Companies for Data Scientist Salary in India to see just how valuable these skills are.
Step-by-Step: How to Start Data Analysis Skills
You don’t need to do it all at once. Start simple… stay consistent… & keep applying what you learn.
Here’s your easy roadmap:
| Step | Action | Tools/Resources |
| 1 | Understand what data analysis really is | Watch intro videos, blogs, free resources |
| 2 | Start with Excel & basic statistics | Excel, Google Sheets |
| 3 | Learn Python or SQL | Jupyter Notebook, MySQL |
| 4 | Explore visualisation tools | Tableau, Power BI |
| 5 | Join a data analyst training program | Imarticus Learning – Data Science & AI |
| 6 | Work on mini projects | Kaggle, GitHub, course assignments |
| 7 | Build a portfolio & prep for jobs | LinkedIn, resume building, mock interviews |
Still asking yourself how to start data analysis skills? Follow this path… stick to the process… & the results will follow.
What Makes a Good Data Analyst Training Program?
Not all courses are created equal… so if you’re going to invest your time & money, pick one that sets you up for success.
Here’s a quick comparison table to help you:
| Features | Average Course | Top-Tier Program (e.g. Imarticus) |
| Tool Coverage | Excel, SQL basics | Excel, SQL, Python, Tableau, Power BI, GenAI |
| Format | Recorded lectures only | Live classes + labs + project-first learning |
| Project Work | 2-3 basic assignments | Global capstone + 10+ real projects |
| Placement Support | Self-paced job portals | Mentorship, mock interviews, hiring access |
| Certification Value | Not always industry-recognised | Co-branded certificate with job relevance |
Looking to build data analysis skills online the smart way? Choose a program that’s flexible yet comprehensive… like the Postgraduate Program in Data Science & AI from Imarticus Learning. It’s designed for beginners & professionals alike… packed with cloud-based labs, GenAI tools & real business projects.
Learn Data Analysis for Beginners: Start with the Basics
Before diving into advanced tools, you need a solid foundation.
Here’s what most data analysis course for beginners covers initially:
| Topic | Why It Matters |
| Excel & Spreadsheets | Organise & manipulate data quickly |
| Descriptive Statistics | Understand patterns, averages & trends |
| SQL | Extract & query structured data from databases |
| Python Basics | Automate tasks, analyse large datasets |
| Data Visualisation | Turn raw data into dashboards & reports |
The best part? You can build data analysis skills online in all these areas with beginner-friendly tools, mini projects & guided video lectures.
Real Career Shifts Start with Strong Training
Don’t just learn tools… learn how to apply them.
That’s what separates someone who watches tutorials from someone who lands interviews. A strong data analyst training program will help you develop a portfolio that demonstrates:
- Business problem-solving using data
- Dashboards that tell clear stories
- Cloud-first & GenAI integration
- Real-world case studies & startup simulations
Need proof that beginners can transition into successful data careers? This blog on Data Scientist Qualifications walks through how non-tech professionals are doing it every day.
Where Does Data Analysis Take You? Career Scope in 2025 & Beyond
Choosing to learn data analysis for beginners is a move that pays off long-term.
Here’s a look at the career pathways available with data skills:
| Role | Average Salary (INR) | Who It’s For |
| Data Analyst | ₹6–9 LPA | Great entry role after your first certification |
| Business Intelligence Analyst | ₹8–12 LPA | Visualisation-focused + strategy insights |
| Data Scientist | ₹10–18 LPA | Advanced modelling, ML, GenAI skills |
| ML/AI Engineer | ₹15–22 LPA | Mid-senior professionals with AI exposure |
| Analytics Consultant | ₹12–20 LPA | Client-facing strategy & data work |
Curious what the future looks like? Read this: Top Data Science Careers by 2030 — it breaks down roles, skills & industry trends.
Build Data Analysis Skills Online: Your Learning Toolkit
It’s never been easier to build data analysis skills online. Here are some platforms, tools & tricks that can support your learning journey:
| Resource Type | Examples |
| Learning Platforms | Imarticus Learning, Coursera, edX, Khan Academy |
| Tools | Excel, SQL, Python, Tableau, AWS, Hugging Face |
| Project Platforms | Kaggle, GitHub, DataCamp Projects |
| Communities | Reddit, Data Science India, LinkedIn groups |
| YouTube Videos | Watch Alumni Journeys & tool demos |
If you’re looking for a structured path with 1-on-1 support… it’s worth considering a full data analyst training program that includes hands-on projects, labs & a placement network.
FAQs
1. How to start data analysis skills?
Begin with Excel, SQL & a guided course.
2. Can I learn data analysis for beginners without coding?
Yes, many tools are no-code friendly.
3. Is there a data analysis course for beginners?
Yes, many programs start from scratch.
4. What’s a good data analytics career starter guide?
A step-by-step course with projects helps most.
5. How do I build data analysis skills online?
Use tools like Python, Tableau & practice projects.
6. Why should I learn data analysis for beginners?
It opens doors to multiple career roles.
7. Are data analysis course for beginners worth it?
Yes, they give you job-ready skills.
8. Can I build data analysis skills online part-time?
Absolutely — many programs offer weekend batches.
Final Thoughts: It’s Easier Than You Think
You don’t need to know coding… you don’t need a tech degree… you just need the will to start.
There are hundreds of people like you who took the first step, stayed consistent… & now lead data teams at startups, MNCs, or global consulting firms.
All it takes is:
- A beginner-friendly data analysis course for beginners
- A supportive community or mentor
- Real projects to apply what you learn
So if you’re ready to learn data analysis for beginners or want a guided data analytics career starter guide, don’t wait. The demand for skilled analysts will only grow — especially those who adapt fast to new tools like GenAI.
Need a head start? Explore Imarticus Learning’s PG Program in Data Science & AI. It’s beginner-compatible, future-ready & trusted by thousands who switched to high-growth careers.