Is It Worth Pursuing a PGP in Data Science With No Experience?

Learning Saint
6 days ago
9 min read

Data Science has rapidly become one of the most influential and in-demand fields of the 21st century. Companies across industries—finance, healthcare, e-commerce, marketing, manufacturing, and even government—are relying on data-driven decisions, making data professionals critical assets. As the demand for qualified data scientists grows, so does the popularity of structured learning paths like the PGP in Data Science.

But one question still dominates among students and freshers: Is a PGP in Data Science worth it for someone with no experience?

The simple answer: Yes—if done from the right institute and with the right mindset.

A PGP (Post Graduate Program) in Data Science is designed specifically to bridge the gap between beginners and industry requirements. It provides a guided path, helping learners build foundational knowledge and gain hands-on experience, even if they come from a completely different educational background. Whether you’re an engineering graduate, BBA student, commerce background, or even from the arts stream, a well-structured PGP can help you transition smoothly into a data science career.

The rise of online and hybrid learning platforms has made it easier than ever for freshers to learn job-ready skills, work on real-world projects, and become industry-ready within 6 to 12 months. With the right commitment, a fresher can even secure a high-paying job straight after completing their PGP.

What Is a PGP in Data Science? A Quick Overview

A PGP in Data Science is an intensive, industry-focused, practical program designed to help learners acquire the necessary skills to become data analysts, data scientists, ML engineers, or business analysts. It typically covers the full data lifecycle—from collection and cleaning to analysis, visualization, and predictive modeling.

A typical PGP program includes:

Python for Data Science
Statistics & Probability
SQL & Databases
Exploratory Data Analysis (EDA)
Machine Learning Algorithms
Deep Learning Basics
Data Visualization (Power BI / Tableau)
Capstone Projects
Internship or Industry Case Studies

Unlike a traditional master’s degree, a PGP prioritizes practical application, not theory. You work on real datasets, use industry tools, and complete portfolio projects that help you stand out during job applications.

Most importantly, these programs are beginner-friendly, making them ideal for individuals with no coding background or technical experience. The goal is to transform a complete fresher into a job-ready professional within a short time.

Do You Need Prior Experience to Start a PGP in Data Science?

One common misconception among freshers is that you must be an expert in programming, mathematics, or analytics to join a PGP. In reality, no prior experience is required for most programs.

Here’s why:

a) PGP Programs Start From the Basics

Good institutes begin with foundational topics like basic Python, simple math concepts, and introductory statistics. Even if you have never coded before, you can follow along.

b) Beginner-Friendly Curriculum

The curriculum is structured in layers—starting from fundamentals and gradually moving to advanced topics. You won’t be thrown into machine learning algorithms without first learning data handling or essential logic building.

c) Mentorship Support

PGP courses offer dedicated mentors, doubt-clearing sessions, and project feedback. This personalized guidance helps non-experienced students stay on track.

d) Hands-on Learning

Instead of memorizing theory, you immediately practice what you learn through assignments, quizzes, case studies, and real-world projects.

e) Soft Skills Training

Many PGP programs also include communication and interview preparation modules—another major advantage for freshers.

So, if you’re wondering, “Is a PGP in Data Science worth it if I have no background?” Yes—because the course is literally designed for beginners.

How a PGP in Data Science Helps Absolute Beginners

A PGP in Data Science does more than teach you technical skills—it builds your confidence, shapes your thinking, and gives you practical exposure. Here’s how it helps freshers and non-experienced learners:

a) Structured Learning Path

Instead of learning randomly from YouTube or short courses, a PGP gives you a step-by-step journey from basics to expert level.

b) Industry-Level Skills

You learn the exact tools used by professionals—Python, SQL, NumPy, Pandas, Power BI, Tableau, Scikit-Learn, and more.

This ensures you’re not just learning theory—you’re developing real, market-ready skills.

c) Real-World Projects

PGP programs include multiple projects based on e-commerce, finance, retail, healthcare, marketing analytics, and more. These projects form your portfolio, which recruiters value more than degrees.

d) Resume-Boosting Certifications

A recognized PGP in Data Science adds credibility to your profile, especially when competing with experienced candidates.

e) Networking Opportunities

You connect with mentors, industry professionals, and other learners, helping you build strong connections for future opportunities.

f) Placement Support

Most institutes offer placement assistance, resume workshops, mock interviews, and job referrals.

For beginners, this support system is extremely valuable. It transforms you from a novice into a confident, skilled candidate ready for the job market.

Skills You Learn in a PGP in Data Science Program

One of the biggest reasons freshers ask, "Is a PGP in Data Science worth it?" is the number of valuable skills they can develop.

A strong PGP program helps you master:

Technical Skills

Python Programming
SQL Database Management
Statistical Analysis & Probability
Machine Learning Algorithms
Data Cleaning & Preprocessing
Data Visualization Tools
Excel for Analytics
Predictive Modeling
Basics of Deep Learning & Neural Networks

Analytical & Problem-Solving Skills

You learn how to:

Interpret datasets
Identify trends
Build insights
Solve business problems
Make data-backed decisions

Business Skills

Data science isn’t just about coding—you also learn:

Storytelling with data
Business communication
Report presentation
Domain understanding

Soft Skills

Team collaboration
Critical thinking
Time management
Interview preparation

These technical + business + soft skills make you a well-rounded candidate capable of handling real analytical challenges.

Is a PGP in Data Science Worth It Without Coding Knowledge?

This is another common concern among beginners. The truth is:

YES, a PGP in Data Science is worth it even if you don’t know coding.

Why? Because:

a) Coding Is Taught From Zero

Most programs start with basic Python concepts—variables, loops, functions, data types, etc. You do not need any prior exposure.

b) Data Science Isn’t 100% Coding

A large part of the job involves:

Understanding the problem
Analyzing datasets
Cleaning data
Visualizing data
Explaining insights

These don’t require heavy coding.

c) Tools Make It Easier

Power BI, Tableau, Excel, and even Python libraries like Pandas simplify complex tasks, allowing beginners to focus on understanding data rather than writing long code.

d) Real-World Coding Is Logical, Not Complex

Data science coding is more about logic and workflow than writing thousands of lines of code.

If you are motivated and willing to practice, you can easily learn coding during the PGP.

PGP in Data Science vs Traditional Degree Programs

If you’re confused between a PGP in Data Science and a traditional degree like MSc, MTech, or MBA in Business Analytics, here’s a simple comparison:

a) Time Duration

PGP: 6–12 months
Degree: 2–3 years

PGP is ideal for quick career entry.

b) Focus Areas

PGP: Practical, job-oriented, hands-on
Degree: Theory-heavy, academic-focused

PGP teaches exactly what the industry wants today.

c) Cost

PGP: Moderate fees
Degree: Higher fees, additional academic expenses

PGP delivers faster ROI.

d) Career Outcomes

Both paths can lead to data science jobs, but a PGP is more suitable for:

Freshers
Working professionals
Non-technical background students

Because it focuses on building real-world skills in a shorter time.

e) Industry Demand

Companies value portfolio + skills more than a degree title. A well-executed PGP + project portfolio can outperform a degree alone.

Career Opportunities After Completing a PGP in Data Science

Once you finish your PGP, several career paths open up—even if you are a fresher. Companies are actively hiring for roles such as:

Entry-Level Roles

Data Analyst
Business Analyst
Junior Data Scientist
Machine Learning Intern
Data Engineer (beginner level)
BI Analyst
Research Analyst
Product Data Analyst

Job Industries

IT & Tech
Finance & Banking
E-commerce
Healthcare
Retail & FMCG
Consulting
EdTech
Manufacturing
Logistics

Why Freshers Are Hired After a PGP

Companies prefer trained candidates who can start contributing from day one.
PGP students have hands-on project experience.
The demand for data professionals is much higher than the current supply.

Your salary potential as a fresher ranges from ₹4 LPA to ₹12 LPA, depending on your skills, institute reputation, and project portfolio.

Salary Expectations for Freshers Entering Data Science

For many students, salary is one of the biggest deciding factors in asking: Is a PGP in Data Science worth it? The earning potential in this field is one of the most attractive reasons to pursue it. Even as a fresher, you can secure high-paying roles because data skills are scarce and highly valuable.

a) Average Fresher Salary in India

After completing a PGP in Data Science, freshers typically earn between:

₹4 LPA – ₹6 LPA (Beginner Analyst Roles)
₹6 LPA – ₹8 LPA (Data Scientist Intern / Associate roles)
₹8 LPA – ₹12 LPA (If you join a top company with strong portfolio projects)

Your salary depends on multiple factors:

Institute reputation
Number of projects in your portfolio
Coding and problem-solving skills
City (Bangalore, Pune, Hyderabad pay more)
Performance in interviews

b) Global Salary Scope

In countries like the US, UK, Canada, and Australia:

Entry-level salaries can range from $50,000 to $90,000 annually.

c) Fast Career Growth

The field of data science also offers rapid salary growth:

Within 2–3 years, professionals often see a 50–100% salary increase.
Experienced data scientists can earn ₹20–₹40 LPA or more.

Such strong earning potential makes a PGP in Data Science highly beneficial for someone starting their career.

How to Choose the Right PGP in Data Science Institute

With many institutes offering data science programs, choosing the right one is extremely important. The value of your PGP depends heavily on the quality of education and placement support.

Here are the factors to consider:

a) Curriculum Quality

A strong PGP should include:

Python, SQL, Machine Learning, Deep Learning
Statistics & Probability
Projects, case studies, and capstone
Tools like Tableau, Power BI, Excel

Avoid institutes with outdated curriculum or only theoretical learning.

b) Faculty & Mentors

Look for:

Industry experts
Experienced trainers
One-on-one mentorship
Doubt clearing sessions

c) Placement Support

Check if the institute provides:

Resume building
Mock interviews
Interview calls
Job guarantee or job assistance

d) Student Reviews

Always read:

Google reviews
Alumni success stories
LinkedIn posts
Real feedback

e) Projects & Portfolio

The best PGP programs help you build:

5–10 real-world projects
1–2 capstone projects
A strong GitHub portfolio

f) Flexibility of Learning

Choose between:

Online / Hybrid / Offline
Weekend or weekday batches
Self-paced or instructor-led

Choosing the right PGP in Data Science can significantly improve your learning experience and career growth.

Common Challenges Faced by Non-Experienced Students

Freshers often face some challenges when entering the world of data science, but the good news is—they can all be overcome with the right approach.

a) Learning to Code

Many students fear coding, but with consistent practice, Python becomes easy and intuitive.

b) Understanding Math & Statistics

You don’t need advanced mathematics. Basic statistics and logical thinking are enough to build ML models.

c) Information Overload

Data science is broad, so beginners may feel overwhelmed. A structured PGP program simplifies this with guided learning.

d) Slow Early Progress

In the beginning, progress feels slow. But once you master Python, SQL, and EDA, everything becomes easier.

e) Imposter Syndrome

Many freshers think: “I’m not technical enough.” “I don’t know coding.” “I don’t have experience.”

A good PGP builds confidence by teaching skills step-by-step.

f) Job Market Competition

There is competition, but skilled candidates always stand out. Your portfolio, projects, and PGP certification help you stay ahead.

Real Success Stories: Freshers Who Transitioned Into Data Science

Many freshers from non-technical backgrounds have successfully transitioned into data science careers through a PGP.

Here are common patterns seen in successful learners:

a) Engineering Graduates

Many B.Tech students use a PGP in Data Science to kickstart their career when coding-heavy jobs don’t appeal to them.

b) Commerce Graduates

B.Com, BBA, and BMS students move into business analytics and data roles smoothly after a PGP.

c) Arts & Humanities Students

Yes—even BA graduates learn Python and analytics to become data analysts.

d) Career Changers

Freshers shifting from:

Sales
Marketing
Operations
Customer support

have transitioned into data-driven roles through smart learning and a strong portfolio.

Success Formula

Follow the curriculum
Complete projects
Build a GitHub portfolio
Prepare for interviews
Apply consistently

A PGP in Data Science removes the barrier of experience by giving learners industry-level training.

Return on Investment (ROI): Is a PGP in Data Science Worth It?

Let’s address the most important question clearly: Is a PGP in Data Science worth it?

a) Low Investment, High Salary

A well-chosen PGP typically costs far less than a degree but offers:

Faster skill development
Direct industry relevance
Higher initial salary

The ROI is excellent compared to traditional options.

b) Faster Career Launch

Instead of spending 2 years on a degree, you can start earning within 6–12 months.

c) Skills > Degrees

Companies care more about:

Skills
Projects
Problem-solving ability

A PGP teaches all of these.

d) Long-Term Career Scope

Data science roles have:

High demand
Good job security
Diverse opportunities

Even during economic downturns, data roles remain stable.

e) Portfolio-Based Hiring

Your projects and skills speak louder than your degree. A PGP helps you build exactly what recruiters want.

Overall, the ROI is extremely positive for freshers.

Tips to Prepare for a PGP in Data Science as a Beginner

If you’re planning to enroll in a PGP soon, here are some preparation tips to make your learning journey smoother:

a) Learn Basic Python in Advance

Just understanding variables, loops, and lists will give you a head start.

b) Brush Up on School-Level Math

Topics like mean, median, mode, and probability are enough.

c) Start Exploring Data

Use free datasets from Kaggle to understand data structures.

d) Practice Excel

Excel is the starting point for all analytics.

e) Join Data Science Communities

LinkedIn groups, GitHub, Discord communities—all help with networking.

f) Stay Consistent

Spending even 1–2 hours daily can make a huge difference.

g) Build a Learning Routine

Consistency is more important than intelligence in data science.

Final Verdict:

If you are a fresher wondering: “Is a PGP in Data Science worth it for someone with no experience?” The answer is a confident YES—but only if you choose the right institute and remain consistent throughout the program.

A PGP helps you:

Learn industry-demanded skills
Build hands-on experience
Develop a strong project portfolio
Become job-ready within months
Enter a high-growth, high-salary field

Whether you’re from a technical or non-technical background, the data science industry welcomes anyone willing to learn.