ISO 9001:2015 ISO/IEC 27001:2022
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Certificate in Data Science

What is Data Science?

Data Science is the process of analyzing large volumes of data using statistics, programming, and machine learning to uncover insights and support decision-making. Today, over 80% of companies rely on data-driven strategies to improve business performance.

Why You Should Learn Data Science?

Data Science is one of the fastest-growing careers globally, with demand increasing every year. According to industry reports, data-related jobs are expected to grow 30%+ this decade, offering high salaries and opportunities across almost every industry.

Who Can Join Data Science Program?

Students, graduates, working professionals, or career switchers from any background can join. Basic computer knowledge and interest in analytics are enough. Many successful data scientists today started from non-technical fields like commerce, arts, and management.

🚀 By 2030, Data Science jobs are projected to grow 35% globally. Skilled professionals can earn $90,000–$150,000 annually on average, as businesses increasingly depend on AI, analytics, and data-driven decision-making.
Course

Certificate in Data Science

Course Duration: 12 Months

Eligibility: 10+2 or Equivalent (Min)

Admission Now

Course Syllabus Details

           ↪ What is Data Science

           ↪ DS vs DA vs ML

           ↪ Roles: Data Scientist, Analyst, ML Engineer

           ↪ Data Lifecycle & Applications

           ↪ Types of Data

           ↪ Anaconda, Jupyter, VS Code Setup

           ↪ Excel Basics & Interface

           ↪ Sorting, Filtering, Formatting

           ↪ Charts & Conditional Formatting

           ↪ VLOOKUP, XLOOKUP, IF

           ↪ Pivot Tables & Dashboards

           ↪ Mini Project

           ↪ Variables, Data Types, Operators

           ↪ Loops, Functions, Data Structures

           ↪ File Handling (CSV, JSON)

           ↪ OOP, Lambda, List Comprehension

           ↪ Mini Projects

           ↪ Arrays, Indexing, Broadcasting

           ↪ DataFrames & Cleaning

           ↪ GroupBy, Merge, Join

           ↪ Missing Values & Imputation

           ↪ Matplotlib & Seaborn

           ↪ Univariate, Bivariate, Multivariate

           ↪ Outlier Detection

           ↪ Mini EDA Project

           ↪ SELECT, WHERE, GROUP BY

           ↪ Joins, Subqueries

           ↪ Views, Indexes, Constraints

           ↪ Stored Procedures

           ↪ Linear Algebra

           ↪ Calculus & Gradient Descent

           ↪ Probability Basics

           ↪ Descriptive Statistics

           ↪ Normal Distribution & CLT

           ↪ Hypothesis Testing

           ↪ A/B Testing

           ↪ Regression Models

           ↪ Classification Models

           ↪ Decision Trees & Random Forest

           ↪ XGBoost & Ensemble Learning

           ↪ Model Evaluation

           ↪ Neural Networks

           ↪ TensorFlow & PyTorch

           ↪ CNN & Object Detection (YOLO)

           ↪ Tokenization & Text Processing

           ↪ Word2Vec & BERT

           ↪ Text Classification & NER

           ↪ Hadoop & Spark

           ↪ AWS, Azure, GCP

           ↪ Google Colab

           ↪ Git Commands & Branching

           ↪ GitHub Portfolio

           ↪ MLflow & Model Monitoring

           ↪ Bias Detection

           ↪ Fairness & Responsible AI

           ↪ Transformers Overview

           ↪ How LLMs Work

           ↪ RAG (Retrieval Augmented Generation)

           ↪ Business Understanding

           ↪ Data Collection & EDA

           ↪ Model Building & Evaluation

           ↪ Deployment & Presentation

           ↪ Resume Building

           ↪ GitHub Portfolio

           ↪ Interview Preparation

           ↪ Mock Interviews

Data Science Job Prospects:

⫸   Data Scientist

⫸   Data Analyst

⫸   Machine Learning Engineer

⫸   Business Intelligence (BI) Analyst

⫸   AI Engineer

⫸   Data Engineer

⫸   Business Analyst

⫸   Statistician

⫸   Data Architect

⫸   Quantitative Analyst (Quant)

⫸   AI Research Scientist

⫸   Deep Learning Engineer

⫸   Product Data Analyst

⫸   Marketing Data Analyst

⫸   Financial Data Analyst

⫸   Operations Analyst

⫸   Risk Analyst

⫸   Predictive Modeler

⫸   Decision Scientist


Future of Data Science

✅   The Global data science education market is expected to reach $378.7 billion by 2030, showing massive global demand for data professionals.


✅   Around 11.5 million new data science jobs are expected globally by 2026, driven by AI, automation, and big data adoption.


✅   In India, data science jobs are projected to increase by 57%, rising from about 2.1 lakh to 3.3 lakh roles by 2028.


✅   India’s big data analytics industry is expected to grow from $5.7 billion in 2022 to $30.7 billion by 2027, showing strong business expansion.


✅   Major companies like Amazon, Google, Deloitte, and EY are among the top recruiters for data science roles globally and in India.


✅   Data science salaries in India typically range from ₹6.5 lakh to ₹35 lakh per year, depending on skills and experience.

Tools Covered

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Why Choose SAHFAR Academy?

  • Industry-Relevant Curriculum
  • Experienced Trainers
  • 100% Practical Training
  • Internship Opportunities
  • Placement Assistance
  • Affordable Fee Structure
  • Live Project Exposure

Get Industry Related Certification

Certification

SAHFAR Academy Certification

The SAHFAR ACADEMY Certification is designed to validate your skills with a perfect blend of practical training and theoretical knowledge. Our curriculum is aligned with real-world demands and reviewed by industry experts.

    This certification is recognized by companies across India, making it a trusted mark of your capability. It reflects your readiness to take on professional challenges with confidence and clarity.

    Whether you're starting your career or upskilling for better opportunities, our industry-graded certification ensures your learning meets professional standards and is accepted by leading startups, MSMEs, and corporate houses.

  • Recognized by Industry Experts
  • Adds Value to Resume
  • Skill-Based Assessment
  • Proof of Course Completion
  • Digital & Printable Format
  • Career Accelerator

Get in Touch with Us

Book a Career Counselling Call FREE (Worth ₹999)

Contact Us

Student Reviews

"I had a great learning experience at SAHFAR Academy. The Data Science course is very practical and easy to understand. The mentors guide every student personally. Their career support and interview preparation really helped me gain confidence."

Student 1

Biplab Das

Freelancer & Entrepreneur

"I joined the 12-month Data Science program without much coding knowledge. The trainers explained every concept step by step. The projects and assignments helped me understand real industry work. Highly recommended for beginners."

Student 2

Priya Das

Freelancer

"SAHFAR Academy is one of the best institutes for learning Data Science. The course covers everything from basics to advanced topics like Machine Learning and NLP. The teachers are very supportive and always ready to clear doubts."

Student 3

Amit Roy

Digital Marketing Job

"The best part of SAHFAR Academy is the personal attention and career guidance they give to students. They also help with resume building, portfolio creation, and mock interviews. It really prepares students for the job market."

Student 4

Misba Ul Islam

Digital Marketing Job

"Very professional training institute. The Data Science syllabus is well structured and includes modern tools like Python, SQL, Machine Learning, and Cloud. I truly appreciate the support the faculty provides throughout the course."

Student 5

Anirban Ghosh

Businessman

"SAHFAR Academy genuinely cares about students’ careers. The trainers motivate students and guide them until they feel confident. The job assistance and practical training make this institute a great place to start a data science career."

Student 6

Surajit Paul

Entrepreneur

Any Doubts? Let’s Clear

The program is designed with industry-relevant tools, real projects, and step-by-step mentorship. SAHFAR Academy focuses on practical learning, ensuring students build strong skills and confidence for real data science roles.
Yes. SAHFAR Academy provides dedicated job assistance, including resume building, portfolio development, interview preparation, and career guidance to help students confidently enter the data science job market.
Students, graduates, working professionals, and career switchers from any academic background can join. Even beginners can start, as the course begins with fundamentals and gradually moves to advanced topics.
Students learn Python, SQL, Excel, Machine Learning, Deep Learning, NLP, Cloud tools, and Data Visualization, along with industry platforms like GitHub and Google Colab used by professional data scientists.
Yes. The course includes multiple mini projects and a final capstone project, helping students gain real-world experience and build a strong portfolio to showcase their skills to employers.
SAHFAR Academy offers continuous mentorship, doubt-clearing sessions, practical assignments, and project guidance, ensuring every student receives proper support to grow their skills confidently.
Absolutely. The course starts from basic programming and data concepts, making it easy for beginners to gradually develop advanced data science and machine learning skills.
With strong practical training, industry tools, and career support from SAHFAR Academy, students can prepare for roles like Data Analyst, Data Scientist, and Machine Learning Engineer in the growing global data industry.