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How to Become a Data Scientist: Key Concepts to Master Data Science in 2026

Data Science with AI & ML Course

Data science has evolved into one of India’s most dynamic and lucrative career paths, driven by unprecedented digital transformation across finance, healthcare, e-commerce, technology, and manufacturing sectors. According to NASSCOM, India is expected to generate 7 million data-related jobs by 2026, with a significant talent shortage creating exceptional opportunities for skilled professionals. Fresh graduates entering the field can earn between ₹6 lakhs to ₹8 lakhs per year, whilst professionals with 5-8 years of experience command salaries ranging from ₹18 lakhs to ₹25 lakhs annually.

The Indian data science market is experiencing remarkable growth. The market is projected to reach USD 2,551.2 million by 2033, growing at a compound annual growth rate of 18.91% from 2025 to 2033. This explosive growth, combined with a 50% increase in demand for data scientists over the last five years, makes now the perfect time to enter this field.

  1. Programming & Tools Mastery

Proficiency in Python, R, and SQL remains the foundation for any aspiring data scientist. These languages and their libraries—such as Pandas, NumPy, TensorFlow, and Scikit-learn—are essential for data analysis, manipulation, and machine learning implementation. Python continues to be the dominant language with companies requiring expertise in programming languages along with cloud platforms like AWS, Azure, and Google Cloud.

At Keerti Education, the Professional Certificate Course in Data Science with AI and ML provides comprehensive training in these core programming languages, along with hands-on experience in modern data manipulation and machine learning libraries, ensuring students are industry-ready from day one.

  1. Data Cleaning & Pre-processing

Raw data—especially in critical industries like banking, healthcare, and retail—requires rigorous cleaning and pre-processing before meaningful analysis can occur. Industry estimates suggest that data scientists spend approximately 80% of their time on these foundational tasks. The Keerti Education programme emphasises these vital skills, ensuring students can confidently handle complex, messy datasets and transform them into valuable insights.

  1. Machine Learning Algorithms

Machine Learning Engineers in India typically earn between ₹8 to ₹20 lakhs per annum, with experienced professionals reaching ₹30 lakhs or more. Companies across sectors—from innovative startups to multinational corporations—are increasingly leveraging machine learning to drive strategic decision-making and automation.

At Keerti Education, the data science course includes comprehensive modules on key machine learning algorithms such as:

  • Decision trees and random forests
  • Logistic and linear regression
  • Neural networks and deep learning
  • Support vector machines
  • Clustering and classification algorithms

This ensures students are proficient in building, deploying, and optimizing predictive models that solve real-world business challenges.

  1. Data Visualization

The ability to transform complex data insights into compelling visual narratives is critical across industries. Decision-makers in sectors like retail and marketing need clear, data-driven insights to guide strategic planning. Keerti Education’s curriculum ensures you’re expertly trained in industry-standard tools like Matplotlib, Seaborn, Tableau, and Power BI, empowering you to transform raw data into actionable business intelligence.

  1. Big Data & Cloud Computing

The growth of e-commerce and digital transactions has led to massive increases in data generation, with India’s big data market expected to grow by 26% annually. Professionals skilled in big data technologies like Hadoop, Spark, and cloud platforms are commanding premium salaries.

Keerti Education’s curriculum includes comprehensive training in big data tools and cloud computing platforms (AWS, Azure, Google Cloud), ensuring students can handle large-scale datasets efficiently and remain highly valuable in today’s competitive job market.

  1. AI & Machine Learning Integration

According to the World Economic Forum’s Future of Jobs Report 2025, about 170 million new jobs are projected globally by 2030 due to tech adoption, with AI and machine learning at the forefront. Industries like healthcare, finance, retail, and manufacturing are being reshaped by intelligent systems.

Keerti Education’s programme offers in-depth AI training, covering:

  • Natural Language Processing (NLP)
  • Computer Vision
  • Generative AI and Large Language Models
  • AI Ethics and Responsible AI
  • MLOps and model deployment

This comprehensive approach prepares students to develop intelligent systems and stay ahead in this rapidly evolving landscape.

  1. Soft Skills & Communication

Beyond technical expertise, successful data scientists excel at communication. In India’s booming IT sector, data insights need to be effectively conveyed to non-technical stakeholders and decision-makers. The Keerti Education programme emphasises soft skills development through:

  • Presentation workshops
  • Stakeholder communication training
  • Business acumen development
  • Team collaboration exercises

This ensures students can present complex findings to clients and team leaders with confidence and clarity.

  1. Career-Focused Learning & Support

The job market for data scientists in India is expanding beyond traditional tech hubs like Bengaluru, Hyderabad, and Pune, with smaller cities increasingly demanding data expertise. Keerti Education offers unparalleled career support including:

  • Personalized Career Counselling: One-on-one guidance tailored to your career goals
  • Mock Interviews: Practice with industry professionals to build confidence
  • Portfolio Development: Build impressive projects that showcase your skills
  • Placement Assistance: End-to-end support to secure top roles in the industry
  • Industry Networking: Connect with hiring managers and alumni in leading companies

Why Choose Keerti Education?

Keerti Education’s Professional Certificate Course in Data Science with AI and ML provides a comprehensive, career-focused education specifically designed for today’s Indian job market:

Industry-Relevant Curriculum

A perfect blend of data science fundamentals and cutting-edge AI/ML applications, aligned with what top employers are seeking in 2026.

Practical Learning

Hands-on projects with real-world datasets from diverse industries prepare students to tackle practical challenges from day one.

Expert Mentorship

Learn from industry professionals with years of experience at leading tech companies and startups.

Placement Assistance

Comprehensive career support ensuring a smooth transition into high-paying roles across India’s thriving data science ecosystem.

Flexible Learning Options

Study at your own pace with online and hybrid learning options designed for working professionals and students alike.

The Path Forward

Becoming a data scientist requires mastering a diverse skill set—from programming and machine learning to data visualization and stakeholder communication. With certain roles experiencing demand-supply disparities ranging between 60% to 73%, particularly for ML Engineers, Data Scientists, and Data Architects, there has never been a better time to enter this field.

Keerti Education’s comprehensive course offers a proven pathway to acquiring these in-demand skills, ensuring you’re well-equipped to thrive in the rapidly evolving field of data science. Whether you’re a complete beginner or looking to upskill and transition into a data-focused role, this programme is designed to meet your needs and propel you towards a rewarding, high-paying career.

With India poised to become a global leader in the data science domain and digital transformation initiatives like Digital India driving massive growth, now is the ideal time to invest in your data science education.

Ready to Start Your Data Science Journey?

Visit Keerti Education’s Data Science Programme today to learn more about admissions, curriculum details, and how you can transform your career in 2026.

Transform data into your career advantage. Enroll now.