How to Become a Data Scientist with No Experience in 2025

Introduction

Do you want to become a data scientist in 2025 but feel held back by inexperience? Don’t worry, it’s still possible.

The convergence of data science and artificial intelligence has been making an interesting fusion that is gradually growing to be one of the most attractive fields. The US Bureau of Labor Statistics has already declared that the need for data scientists is at an all-time high, and in this specific vocation, there will be a further growth of 36%, spanning the years 2023 – 2033.

Wondering if you have to wait it out? You don’t. Absolutely no previous experience is needed to get started on this path. In case you are reverse juggling your job and trying to start a career or are absolutely new to the industry, this article will serve as a guide through the key milestones required to ace data science.

Learn why 2025 is the perfect time to become a data scientist!

But first, who is a data scientist? A data scientist is a professional who gathers and analyzes data. They convert this data into meaningful insights using data visualization techniques and present it to stakeholders who make decisions. 

Now, we will see the steps to becoming a data scientist 2025.

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Step-by-Step Guide on How to Become a Data Scientist

Check out our ultimate guide to becoming a data scientist in 2025!

Step 1: Enroll in the Best Data Scientist Course

While it is not a compulsory data science eligibility criterion, taking up a bachelor’s degree is essential to gain basic knowledge of programming languages used in this field. 

If not, you can enroll in an online course. We at E&ICT Academy offer the following AI data science programs:

  1. Professional Certification course in Data Science

Mode: Online (with instructor)

Duration: 11 Months

Languages Available: English, Hindi & Telugu

What do you get: Completion certificate from IIT Kanpur

What will you learn? 

  • In-demand tools like ChatGPT, Google Bard, DALL-E, and Mid journey.
  • Programming languages like PyTorch, TensorFlow, R, C++, Python, etc.
  1. Professional Certificate Course in Data Analytics and Generative AI

Mode: Online Live

Duration: 11 Months

What will you learn?

  • Training-based learning on key generative AI topics.
  • Applications of AI in the data science industry 
  • 25+ real-life projects to work on.
  • How to leverage tools and coding languages like Power BI, Excel, Tableau, MySQL, Python, and more.

Step 2: Polish Your Maths and Coding Knowledge

Mathematics and coding are the basis for having a data science career. To start with, focus on:

  • Understanding Algebra, calculus and inferential statistics. 
  • Apply your math knowledge to analyze real datasets 
  • Learn the basics of Python, C++ or R as they help with data manipulation.

Step 3: Take up Real-World Projects

Now that you have some theoretical knowledge, start by getting some hands-on experience. You can take up internships, part-time projects, or freelance work. 

Start small and work on projects that solve real-world problems. 

Industries You Can Work In: Finance, healthcare, IT, and B2B or marketing. 

This way, you can build real-world skills and show potential employers that you can apply your knowledge practically.

Step 4: Apply at Entry Level Data Scientist Roles

As you are a beginner, you can start small. There is no need to start as a full-fledged data scientist. Many companies offer entry-level roles like:

  • Data Analyst – Focus on cleaning and analyzing data.
  • Business Intelligence Analyst – Create reports and dashboards.
  • Junior Data Scientist – Assist senior scientists with modeling and coding tasks.

Look for internships or contract roles to get your foot in the door. These positions give you hands-on experience while helping you learn industry tools like SQL, Tableau, and Python.

Step 5: Showcase your Skills in Portfolio

A portfolio is your ticket to proving your skills. Think of it as your personal data science showcase.

What to Include:

  • Data cleaning and visualization projects.
  • Predictive modeling using Python or R.
  • Machine learning experiments.

Step 6: Create Compelling Resume

In 2025, recruitment dynamics have shifted. No one reads pages full of data. So, if you are aiming to stand out among hundreds of applicants, make sure your resume emphasizes your skills and projects rather than just your work history. 

Here are some tips for crafting your perfect data scientist resume:

  • You can mention your technical skills in languages like Python, R, and SQL. You can also show how you are an expert in using data tools like Tableau, TensorFlow, and Excel.
  • Add relevant keywords to get the job noticed better. 
  • Instead of going the generic way, write personalized cover letters expressing your interest. 
  • Leave a tinge of your personality.

Step 7: Network on the LinkedIn Platform

Networking can open doors to job opportunities. 

Optimize Your LinkedIn Profile

  • Add “Aspiring Data Scientist” in your headline.
  • Highlight your projects and certifications.
  • Share posts about your learning journey or insights from data analysis.

Connect With Industry Experts

Message recruiters, follow data scientists, and comment on posts to get noticed. Collect testimonials from your past employers. You can also add their recommendations to your profile to increase your credibility in the market.

Step 8: Build Your Personal Brand as a Data Scientist

Did you know that nearly 60% of hiring managers prefer candidates with a strong online presence? A strong personal brand can really help you as a magnet for opportunities. Besides, it becomes an excellent way to enhance your visibility and connect with the world.

  • Write Blog Posts: Share what you learn—like tips for data cleaning or visualizing trends using Python or any other coding language. Platforms like Medium and LinkedIn are great for this.
  • Publish Insights: Create charts and dashboards and post them on social media.
  • Host Webinars or Tutorials: Go live and teach others some data science skills that you have gained so far.
  • Engage in Continuous Learning: Never think you know it all. Keep on upskilling yourself with new industry trends and updates. Enhance your skills through courses and certifications.
  • Sharing Your achievements: This entails celebrating certification milestones, completed projects, or awards, showing one’s growth.

When people recognize you as someone passionate about data science, opportunities will follow.

 

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Start Your Data Science Journey Today!

Becoming a data scientist in 2025 doesn’t require years of experience—it requires effort, consistency, and smart planning. 

Start by building skills, working on real-world projects, and networking with the right people.

Remember, every expert was once a beginner. Your journey into data science can start today—one project, one connection, and one skill at a time.

Take the first step toward your data science career today! Enroll in our industry-recognized data science courses.

Why choose us? Because at E&ICT Academy, we don’t just teach data science—we prepare you for success. Our courses are designed by industry experts and backed by one of India’s premier institutions, ensuring you gain practical, job-ready skills.

We offer:

  • Self-paced online courses and certification programs.
  • You can take our online courses of up to 75 hours or detailed courses from 6-11 months.
  • One-on-one doubt sessions 
  • Assistance with placement after course completion.
  • At least 2 master classes by industry expert faculty. 
  • Completion Certificate from IIT Kanpur.

Don’t wait—explore data science courses now and start building your future as a data scientist! Visit E&ICT Academy, IIT Kanpur.

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