DATA SCIENCE COURSE

Data Science

Data Science is a field in the interdisciplinary area or domain. The phrase “Data Science” was first invented by William S. Cleveland in the beginning of the 21st Century. It is about the logical methodology in handling huge data requirements. The study of information relates to different scientific procedures, theories and techniques derived from several fields in the framework of mathematics, insights/statistics, computer science, domain knowledge and information science. 

Data science is an interdisciplinary field that utilizes logical techniques, processes, calculations and systems to separate information and experiences from organized and unstructured information, and apply knowledge and actionable insights of knowledge from information across a wide scope of application spaces.

Recently, Data Science has been in huge demand in any organization or business. To adapt to the demand, aspirants have begun in looking forward their career in Data Science courses.

Organizations have begun in upgrading the skills of their staff to remain aggressive towards their work. So many institutes picked the business needs and planned reasonable courses in Data Science.

Data Science Eligibility

In Data Science most of courses planned are PG and certificate level courses for graduates. The eligibility criterion for the PG data science diploma program is given below:-

  • Aspirant who has done graduation can apply for this course
  • If you have a works experience in the field of data science along with your bachelor’s degree are also eligible to apply for this course
  • IT engineers who wants to shift their career into data science are also eligible

Latest Admission Alert

IMS GHAZIABAD

Institute of Management Studies (IMS), Ghaziabad is one of the Top 10 B-Schools in North India. Application invited for PGDM | Ph.D.

IBMR BUSINESS SCHOOL, GURUGRAM

Applications Open | MBA | PGDM

Data Science Course Syllabus

Data science is an electric field. It will provide work to numerous experts later on in the future. Thinking about its significance and vastness, numerous fields are included in its program.

Given below the syllabus of the Data science program:-

Introduction to Data Science    

Statistical Foundations for Data Science

Mathematics and Statistics

Coding

Domain Expertise

Machine Learning Algorithms

Data Analysis

Data Wrangling

Data Visualization

Data Structures and Algorithms    

Scientific Computing

Optimization Techniques

Experimentation, Evaluation and Project Deployment Tools

Predictive Analytics and Segmentation using Clustering

Exploratory Data Analysis

Business Acumen & Artificial Intelligence

Matrix Computations

Scholastic Models

Subjects and Skills Required for Data Science

In general, for getting admission in Data Science program, the following qualifications are required: –

  • A bachelor’s degree from the STEM (Science, technology, engineering, and mathematics) stream.
  • There no requirement for any experience is coding.
  • Mathematics is the main subject of Data Science program and Data Analysis, where the model is created by processing mathematical algorithms’ data.
  • Statistics will help the aspirants to analyze, understand and derive the conclusion from the data.
  • Explore Exploratory Data Analysis and Excel to obtain useful insights from the collection of data/information and learn from its attributes.
  • A good understanding of the databases is highly attractive skill for the organization.

Data Science Study Material and Books

The top data science courses books and study material recommended by top data science professionals are mentioned below:

Book

Author

Think Bayes – Bayesian Statistics Made Simple

Allen B Downey    

Python Data Science Handbook

Jake VanderPlas    

Think Python

Allen B Downey    

Understanding Machine Learning- From Theory to Algorithms

Shai Shalev-Shwartz and Shai Ben-David

Mining of Massive Datasets 

Jure Leskovec, Anand Rajaraman, Jeff Ullman

Introduction to Statistical Learning

Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

The Elements of Statistical Learning

Trevor Hastie, Robert Tibshirani, Jerome Friedman    

Deep Learning 

Ian Goodfellow, Yoshua Bengio, and Aaron Courville

Bayesian Methods for Hackers

Cam Davidson – Pilon    

Think Stats

Allen B Downey

R for Data Science 

Garret Grolemund and Hadley Wickham    

Advanced R 

Hadley Wickham

Data Science job profiles

There are so many job profiles or opportunities that an aspirant can get after the completion of Data Science program are given below:-

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst

Data and Analytics Manager

Popular Data Science Colleges in India

  1. Symbiosis International University
  2. SVKM’s NMIMS
  3. Lovely Professional University
  4. K L University
  5. Amity University Noida
  6. Sharda University
  7. Indian Institute of Management Calcutta
  8. Chandigarh University
  9. XLRI – Xavier School of Management

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