Post Graduate Diploma in Data Science (PGDDS) Course

Post Graduate Diploma in Data Science: With the increasing significance of data science, the growth and importance of data scientists have increased a lot. Data Science is working as the tomorrow of Artificial Intelligence.

Students who are interested in analytics, technology firms, regulators, consulting, and universities across the globe must go for Post Graduate Diploma in Data Science course.

In the present scenario, certain data science professionals are now essential parts of brands, businesses, public agencies, and non-profit organizations.

Details of PGDDS Course:

• Post Graduate Program in Data science is a nine-month part-time course that aims to equip graduates for a career as a data scientist in the business world for entrepreneurship, public policy, or even academia.
• This multidisciplinary course attempts to extract knowledge or insights from data in multiple forms and employs techniques and theories within the deep areas of mathematics, statistics, operations research, information science, and computer science.
• The purpose of the Post Graduate Program in Data Science is to introduce participants to the tools and techniques employed for administering, managing, analyzing, and evaluating data.
• The Data Science curriculum also equips students with business realm knowledge so they can add significance as data analyst professionals for the next generation.
• Post Graduate Diploma in Data Science provides an extremely unique opportunity to acquire first-hand knowledge about both the theoretical and practical aspects.
• This field offers exciting new areas that combine scientific analysis, statistical knowledge, substantive expertise, and computer programming.

PGDDS Course: Highlights

PGDDS Full Form	Post Graduate Diploma in Data Science
Course Duration	9 Months
Objective of Course	To provide in-depth knowledge concerning what is covered, the schedule, the different phases involved, and the process.
For Whom	Those who see their career as data analyst professionals.
Why choose this course	To accelerate your career in data science and for the exponential growth of the country.

Importance of Data Science:

Data science is a vast concept that can add value to any company’s data well. It has turned into a basic requirement for almost every organization. Data science is worthwhile for any corporation in any industry.

From statistics and insights across workflows and chartering new candidates, to assisting senior staff to create better-informed decisions.

Here Are The Top Reasons Behind The Significance Of Data Science:

• Empowering management and directors or managers to make better decisions
• Big Data is a new discipline that is constantly growing and evolving
• Challenging the staff to embrace best practices and focus on issues that really matter
• Decision-making must be done with quantifiable and data-driven pieces of evidence
• Examining certain decisions
• Identifying future opportunities
• Identification and refining of appropriate target audiences
• Executing a prime role in the functioning and growth process of brands
• Recruiting the right talent for the company
• Striving operations and actions based on trends helps to set company goals

Eligibility Criteria for PGDDS Course:

PGDDS program mainly aims to develop more skills and knowledge of Data Science to do statistical analysis to support the decision-making process.

Working professionals in IT / Analytics / Statistics / lBig Data / Machine can apply for this course to acquire in-depth knowledge of this field.

Candidates need to go through the directed eligibility criteria before taking admission to this course:

• For enrolling admission in Post Graduate Diploma in Data Science, aspirants must have scored at least aggregate marks of 50 % in  BE / B.Tech / BCA / MCA / B.Sc. (Maths) / M.Sc (Maths) courses.
• Candidates acquiring Mathematics, Engineering, Statistics, and IT backgrounds will be given more preference.
• Two-year full-time work experience is required after graduation or post-graduation courses.
• There is a relaxation in the work experience for meritorious fresher students / Young Professionals securing (CGPA > 7/10) marks on the basis of the application.
• Students completing their final year of graduation are also eligible for this course.
• There are no restrictions on the age limit for pursuing PGDDS.

Essential Skills Required For PGDDS Course:

Becoming a Data Scientist is not an easy job, it takes a lot of diligence, patience, and determination to scale up this high-profile job. One needs to have both technical and non-technical skills to achieve this profession.

Here are some essential attributes and skills that every data scientist should possess:

Technical Skills:

• Education and training
• Work experience
• Coding
• Proficiency in Mathematics and Statistics
• Machine learning, deep learning
• Knowledge of analytical tools
• Big Data
• Data Ingestion
• Data architecture
• Adept at working with unstructured data

Non-Technical Skills:

• Critical Thinking
• A strong business acumen
• Great communication skills
• Strong data intuition
• Risk analysis
• Problem-solving and good business understanding

Post Graduate Diploma in Data Science Structure (PGDDS Course):

Post Graduate Diploma in Data Science intends to equip students with an introduction to the data science approach, quantitative analysis of data using various techniques of statistical learning, a procedure combining classical statistical methods with current advances in computational and machine learning.

In this program, you will learn Machine Learning, Business Analytics – Applied Modelling and Prediction, Elements of Econometrics, and Information Systems Management.

The course is divided into the following modules to cover the whole syllabus in 9 months:

Information Systems Management: This module of the Post Graduate Diploma in Data Science helps the students to learn the management of information systems in organizations that tend to influence the design, configuration, and implementation of Information and Communication Technologies (ICTs).

With the basic postulates of project management and governance, it also summarizes the common techniques and tools associated with ICT management. This module provides an overall view of the benefits management and information systems strategy arrangement.

The topics under this module include:

• Education and principles of information systems management
• Managing information systems projects and designs
• Learning of Information systems and benefit management

Machine Learning: In this module, students study a wide array of models and algorithmic machine learning techniques demonstrated in several real-world applications and datasets. Scholars also obtain a theoretical basis of the methodology. The topics covered in this module are:

• Linear regression and regularisation (via least squares and maximum likelihood)
• Bayesian Inference
• Classification
• Resampling methods
• Clustering
• Non-linear models
• Tree-based methods
• Support Vector Machines
• Random forests
• Gaussian Processes

Elements of Econometrics: This module develops a broad understanding of econometrics to equip students to identify and evaluate several applied analyses of cross-sectional data and to autonomously undertake such analysis on their own.

Some of the topics included here are as follows:

• Random variables and sampling theory
• Simple regression analysis
• Properties of the regression coefficients
• Multiple regression analysis
• Transformation of variables
• Dummy variables

Business Analytics, Applied Modelling, and Prediction: The module prepares students to apply modeling at different levels of the management process, learn basic principles of complex variated datasets analysis-extracting associated data, and be able to illustrate the wide use of mathematical models, identifying the limitations and possible misuse.

The topics covered here are:

• Introduction to data analysis and decision-making
• Time series data
• Outliers and missing values
• Pivot tables
• Probability Distributions
• Decision-making under uncertainty
• Methods for selecting random samples
• Nonparametric tests
• Stepwise regression
• Time series forecasting
• Regression-based trend models
• The random walk model
• Autoregressive and moving average models
• Exponential smoothing
• Seasonal models
• Introduction to linear programming
• Product mix models
• Sensitivity analysis
• Monte Carlo simulation
• Applied simulation examples

Admission Process for Post Graduate Diploma in Data Science:

Students who are interested in enrolling admission in PGDDS Course must have a bachelor's degree or equivalent with a minimum of 50% in aggregate marks from any recognized Indian university.

• Candidates need to fill out the application form of the particular college/university from which they want to take admitted.
• Personal Interview or screening call is done by the directors of the respective college on the basis of the profile of the candidates.
• After that, the application forms are then submitted to the admission committee of the college in order to complete the admission procedure.
• Finally, aspirants will be shortlisted on the basis of their profile and the personal interview given.
• The shortlisted candidates will be intimated through their registered email or messages.

Career Prospect After Post Graduate Diploma in Data Science:

With the continuous growth of the Industries, the demand for Data Analytics professionals has also increased over the last few years.

According to the survey of companies, Data Scientists are the future of the world today.

More than 70% of the company's data survey says that the requirement of these professionals will grow exponentially and the recruiting of Data Professionals will start soon globally. They will soon turn into an integral part of the organization and will assist the world to face major global challenges.

That’s the only reason why the importance of the Post Graduate Diploma in Data Science course is increasing day by day across the world.

Data Science is a tangible domain that has far-reaching implications in other fields including healthcare, energy, and education by helping people to experience life, products, and services in a brand-new manner.

The healthcare industry is the topmost field that is getting 100% benefit from Data Science and is steadily growing over years. Data science helps them to provide better care for patients at all stages. The second field that truly gets benefited from data science is education.

Emerging technologies like smartphones, PCs, and laptops are becoming an integral part of the education system as it provides better opportunities to help students study and enhance their knowledge in an effective manner.

This simply means that data scientists have come up with an ample range of solutions to meet challenges across all sectors.

Candidates with PGDDS can attain a lucrative career ahead as there are numerous companies across the world that are recruiting Data Analytics professionals with optimum salary packages.

These professionals can work in the following job profiles in an organization:

• Financial Analytics
• Data Analyst / Scientist
• Marketing: Managers
• Market Research Analyst and Specialist
• Research Scientist etc.

Top Recruiting Companies After PGDDS Course:

Here are the top recruiting companies that hire Data Analyst professionals after Post Graduate Diploma in Data Science:

• Google
• Amazon
• Wipro
• Infosys
• Book my show
• Walmart
• Zomato
• Browserstack, etc.