Future of Data Science Course in India &

Data science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract insights and knowledge from structured and unstructured data. It involves techniques like machine learning, data mining, and data visualization to analyze data, identify trends, and support data-driven decision-making in various industries.

1. Future of Data Science
Course in India and Emerging Trends
@iabac.org

2. @iabac.org
Importance in Today’s World
Over 2.5 quintillion bytes of data are
generated daily (source: IBM).
Organizations using data-driven decision-
making see a 5-6% increase in productivity
(source: McKinsey).
@iabac.org
Introduction
Combines statistical analysis, computer science, and domain expertise.

3. Growing Demand for Data Science Skills
Over 97,000 data science job postings in
India (source: LinkedIn, 2023).
Expected job growth of 28% for data-
related roles in the next five years (source:
Gartner).
@iabac.org
Current Scenery of Data Science Education in
India
Institutions Offering Data Science Courses
Online platforms: IABAC

4. Core Subjects
Statistics, Machine Learning, Data
Visualization, Big Data, and Artificial
Intelligence.
Technical Skills
Programming: Python (60%) and R (25%) as
dominant languages.
Data Manipulation: SQL is essential, with 70%
of jobs requiring it.
@iabac.org
Key Components of Data Science Courses
Statistics
Machine
Learning
Data
Visualization
Artificial
Intelligence
Big Data

5. @iabac.org
Artificial Intelligence and Machine Learning
83% of businesses consider AI a strategic
priority (source: McKinsey).
Automated Machine Learning (AutoML)
Reduces model development time by
50% or more, making it accessible for
non-experts.
@iabac.org
Emerging Trends in Data Science

6. @iabac.org
@iabac.org
Data Ethics and Privacy
Importance of Ethical Practices
62% of consumers worry about data
privacy (source: Cisco).
Regulations and Compliance
India’s Personal Data Protection Bill aims
to regulate how data is processed and
stored.

7. @iabac.org
@iabac.org
Industry Applications
Healthcare
Predictive analytics can reduce patient readmission rates by 30%
(source: Deloitte).
Finance
Fraud detection systems have reduced losses by 50% in some banks
(source: PwC).
Retail
Companies using data analytics in marketing see a 15% increase in
sales (source: Harvard Business Review).

8. @iabac.org
@iabac.org
Future Skills for Data Scientists
Soft Skills
Communication skills are crucial, with 70% of hiring managers
valuing them.
Technical Skills
Cloud Computing: Over 90% of enterprises use cloud services
(source: Gartner).
Data Engineering skills are increasingly in demand as
organizations build data pipelines.

9. @iabac.org
@iabac.org
Career Opportunities in Data Science
Roles and Job Titles
Data Analyst, Data Scientist, Machine
Learning Engineer, Data Engineer, AI
Research Scientist.
Industries Hiring Data Professionals
Tech, Finance, Healthcare, E-commerce,
and Government sectors.

10. @iabac.org
@iabac.org
Challenges in Data Science Education
Skill Gap
66% of employers report difficulty
finding qualified candidates (source:
IBM).
Keeping Pace with Technology
Rapid evolution of tools and
techniques demands continuous
learning.

11. @iabac.org
@iabac.org
Thank You