How a PG program in Data Science will help in career decision?

Currently, what data scientists are doing, are maximizing huge datasets to determine and identify, what is wrong with data, how can they correct or reposition it for the market, and thus, how a market or industry/sector can utilize data and move forward to provide maximum advantages and luxury to people outside which make up a consumer world.

How are they doing it? They are doing it by getting certified in Data Science. Here, we can say taking up a Masters in Data Science or a PG program in Data Science can be of huge worth and benefit. The training can help aspirants in solving any business problems, try algorithms to examine and survey the data, line immediate solutions, and give out data-oriented business advice and solutions.

PG in Data Science can allow IT professionals and graduates, to pump off their otherwise stagnant careers in the field of data and analytics.

What is a PG program in Data Science?

It is a post-graduate course/ program in Data Science that offers an advanced level insight into the study of data. Majorly, the PG program is compiled over a 2 years’ time duration.

Currently, in a more fast-paced world, many recognized educational companies and institutes have made PG courses sharper and far-sighted with easy to take up course duration and course structure.

As certification programs, these courses generally span a time limit of various countable hours and can be completed within 6 months to 1-year time. Looking at a fast-paced industrial marketplace, students are willing to choose and enter programs that can build on their skills and expertise, put a star on their CV, and hence, make them more saleable to top employers.

The post-graduate in data science certification training courses allow aspirants to upskill, revamp and modernize their various competencies, aptitudes, and capabilities and have a higher edge in contrast to their contemporaries in the domain of data science.

Mainly, the data science course centers on AI and ML advances, with a programming background in R, Python, SQL, and a better real-world knowledge of data science applications.

PG in Data Science – Good or Bad?

Now, we have enough reasons to tell you that a PG program or a PG Diploma in Data Science can be anything, but not bad.

If you pursue a Masters’ in Data Science, you may directly invite all top recruiters at your door. The employers will be there to pick you up or hire you for the top position that is being targeted for a long time now and for which you have even compiled projects!

Reasons –

• It is worth time and money.
• Helps you cut off that budding competitiveness in the market by providing you with an extra and advanced Master’s level edge.
• Progressive course structures and deep learning.
• Allows targeting top-management roles in organizations.
• Added experience and skill.
• Higher salary packages
• More job opportunities

Skills Mastered –

While you join a PG program in Data Science, it can be a mix of many things. Here, you evolve both technically and non-technically. The students need to work both on their hard skills and soft interpersonal and communication skills – at the same time!

If you are targeting the job role of a Data scientist, you must have a better in-depth knowledge of crucial programming languages and master statistical computations.

Alongside, a professional must have better interaction skills, a leading personality, and manners that fit him/her in an enterprise.

Tough-skills –

• Exploratory Data Analysis
• Python, SQL, Tableau
• Regression
• Predictive Modeling
• Clustering
• Time Series Forecasting
• Classification
• Descriptive Statistics
• Inferential Statistics
• Data Modeling
• Model building and fine-tuning
• Deep Learning
• Supervised and unsupervised learning
• Natural Language Processing Ensemble Learning

Are you Eligible for Data Science?

An aspirant or a learner must first see if s/he has the needed skills and knowledge with him/her. After noting the mandate prerequisites, an aspirant or a learner can pursue this advanced PG level degree or certification.

The requirements –

• A bachelor’s degree from a recognized institute or school of education.
• A background in technical subjects like – Computer science, mathematics, statistics, or either economics.

Mainly, the course has no registered age limit. It can be joined by anyone – either you are a working professional or a graduate in the field of data science.