Data Science

Data Science is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms. (AICTE APPROVED) This course equips learner with all the conceptual and technical skills required for the ultimate position in the analytics industry.

2 years

Duration

₹ 65,000

Fees

2 years

Duration

₹ 65,000

Fees

Key Highlights

1

To empower and facilitate better decision-making.

2

Data science relies heavily on machine learning algorithms.

3

Machine learning is a form of advanced analytics in which algorithms learn about data sets and then look for patterns, anomalies, or insights in them.

4

Data science involves analytics applications that are more advanced.

5

Google and Amazon were early users of data science and big data analytics for internal applications, along with other internet and e-commerce companies like Facebook, Yahoo, and eBay.

6

Special focus has been placed on Machine Learning techniques used for regression, classification and clustering.

The course introduces the learner to data science using the most in-demand analytics technologies like R and Python and teaches implementation of various data science concepts such as data exploration, visualisation, and hypothesis testing.

Key Highlights

  • To empower and facilitate better decision-making.
  • Data science relies heavily on machine learning algorithms.
  • Machine learning is a form of advanced analytics in which algorithms learn about data sets and then look for patterns, anomalies, or insights in them.
  • Data science involves analytics applications that are more advanced.
  • Google and Amazon were early users of data science and big data analytics for internal applications, along with other internet and e-commerce companies like Facebook, Yahoo, and eBay.
  • Special focus has been placed on Machine Learning techniques used for regression, classification and clustering.

The course introduces the learner to data science using the most in-demand analytics technologies like R and Python and teaches implementation of various data science concepts such as data exploration, visualisation, and hypothesis testing.

Syllabus

The course introduces the learner to data science using the most in-demand analytics technologies like R and Python and teaches implementation of various data science concepts such as data exploration, visualisation, and hypothesis testing. Special focus has been placed on Machine Learning techniques used for regression, classification and clustering.

  • SEM 1
  • Basics of Statistics
  • Introduction to Data Science
  • Data Structures and Algorithms
  • Introduction to R Programming
  • SEM II
  • Big data with Data Warehousing and Data Mining
  • Advanced Statistics
  • Python Programming
  • Submission: In Semester II students are required to submit a submission as per guidelines given by SCDL
  • SEM III
  • NoSQL Databases Data Visualisation Machine Learning with R and Python Ethical and Legal Issues in Data Science SEM IV
  • Emerging Trends in Data Science
  • Submission II : In Semester IV students are required to submit a submission as per guidelines given by SCDL
  • Project: Student should choose a technical or Techno-business topic of his/her interest and is required to develop the Project based on the provided guidelines

Syllabus

The course introduces the learner to data science using the most in-demand analytics technologies like R and Python and teaches implementation of various data science concepts such as data exploration, visualisation, and hypothesis testing. Special focus has been placed on Machine Learning techniques used for regression, classification and clustering.

  • SEM 1
  • Basics of Statistics
  • Introduction to Data Science
  • Data Structures and Algorithms
  • Introduction to R Programming
  • SEM II
  • Big data with Data Warehousing and Data Mining
  • Advanced Statistics
  • Python Programming
  • Submission: In Semester II students are required to submit a submission as per guidelines given by SCDL
  • SEM III
  • NoSQL Databases Data Visualisation Machine Learning with R and Python Ethical and Legal Issues in Data Science SEM IV
  • Emerging Trends in Data Science
  • Submission II : In Semester IV students are required to submit a submission as per guidelines given by SCDL
  • Project: Student should choose a technical or Techno-business topic of his/her interest and is required to develop the Project based on the provided guidelines

The SCDL Advantage

Placement Assistance
Offered

High Industry
Acceptance

Wide Range of Programs
Across 10+ Demanding Domains

Dynamic Assessment
System

Excellent Student
Support Services

#1 Among Top Distance Learning
Institutes for Student Learning Experience

The SCDL Advantage

Placement Assistance
Offered

High Industry
Acceptance

Wide Range of Programs
Across 10+ Demanding Domains

Dynamic Assessment
System

Excellent Student
Support Services

#1 Among Top Distance Learning
Institutes for Student Learning Experience

Career Services

Placement Assistance Services

This is offered to all our enrolled students. SCDL helps to identify your career path and achieve your career goals via Career Assessment Services wherein,

Read more

Career Continuation Program

In today's competitive world, each one of you will require the right set of skills & competencies to not only land your dream job but also to reinvent

Read more

Career Relaunch Program

A support group exclusively for our female students, where we try to understand the aspirations and hurdles women face while returning to work

Read more

Mentorship Activities

SCDL mentorship sessions are designed with the objective of developing the mentees in academics and other corporate skills.

Read more

Career Services

Placement Assistance Services

This is offered to all our enrolled students. SCDL helps to identify your career path and achieve your career goals via Career Assessment Services wherein,

Read more

Career Continuation Program

In today's competitive world, each one of you will require the right set of skills & competencies to not only land your dream job but also to reinvent

Read more

Career Relaunch Program

A support group exclusively for our female students, where we try to understand the aspirations and hurdles women face while returning to work

Read more

Mentorship Activities

SCDL mentorship sessions are designed with the objective of developing the mentees in academics and other corporate skills.

Read more

How to Apply

EMI Options starting at

Rs. 7,222 /month

Program Fee
INR 65,000 (incl. taxes)
with immersion

Learn With
Easy EMI Plans

We provide the following options for one-time payment

  • Internet Banking
  • Credit/Debit Card
  • Standard EMI

Learn With
Easy EMI Plans

We provide the following options for one-time payment

  • Internet Banking
  • Credit/Debit Card
  • Standard EMI

EMI Options starting at

Rs. 7,222 /month

Program Fee
INR 65,000 (incl. taxes)
with immersion

Corporate Clients

Corporate Clients

Placement
Drive

Placement Drive