In its simplest form, Data science is the study of raw data to extract meaningful information and insights from the same.
It involves developing methods of recording, storing, and analyzing data to effectively extract useful information. The goal of data science is to gain insights and knowledge from any type of data — both structured and unstructured.
Data Science helps humans make better decisions; either quicker decisions or better decisions.
Data science is the hottest technology in present times and it does not look like it is about to change any time soon.
Some common data science applications and deliverables are:
Data scientists are the people who gather huge “lakes” of information and then use their expertise and algorithms they have developed to extract specific information that a user wants.
A data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human.
Data scientists help companies interpret and manage data and solve complex problems using expertise in a variety of data niches. They generally have a foundation in computer science, modelling, statistics, analytics, and math - coupled with a strong business sense.
Data science is a vast field data science jobs are exponentially growing every year. A data scientist as such needs to be extremely skilled across a variety of skillsets to be able to function at their best. Learning path for data science is not an exact map, but data sciences are expected to master a major subset of below skills:
Data scientists are expected to know a lot. And rightly so. Their actions can lead to multiplier effects for businesses and governments. Data driven decision making is the future but we will heavily depend on high quality data manpower to work on this precious data.
The many steps to becoming a capable data scientist are:
Data science is a marathon, not a sprint.
Learning data science takes time and personal investment, but the journey is everything but dull!
Data science is a tool that can be used to help reduce costs, find new markets and make better decisions. Some of the benefits for businesses from investing in data science are as under:
The data science field is hot, and it is unlikely that this will change in the near future. A vast range of careers have grown up in the data science industry. Some of these are:
Given that data science jobs are among the hottest in the industry right now, it comes as no surprise that the average data scientist salary in the US is $118,709, according to Glassdoor.
The driving factor behind increasing data science salaries is that businesses are realizing the power of big data & criticality of using data-driven decision making and want to use it to drive smart business decisions.
A data scientist's salary depends upon several factors:
Some of the more common job roles and salaries are as under:
Database Administrator (DBA): $50,000–$120,000
DBAs are responsible for the upkeep of the databases that store all that data.
Data Analyst: $50,000–$110,000
A data analyst is a quant-focused professional and generally has a BS or MS degree.
Data Scientist: $85,000–$170,000
A data scientist is an experienced, expert-level professional (there’s no such thing as an entry-level data scientist) and are paid accordingly.
Data Scientist/Analyst Manager: $90,000–$240,000
When a person rises to the level of manager, pay is often based on the number of people directly reporting to that manager.
Data Engineer: $70,000–$165,000
The data engineer is the person designing the systems that record and store the data. They must have a wealth of programming knowledge as well as expertise in informational architecture.
Not very surprisingly, some of the highest paid data scientists work at leading tech companies. Here are average salaries at several high-profile organizations:
Majorly people prefer one of 2 approaches:
We leave this matter to the experts, although our language of choice and the one we love would be - Python for data science. A terrific infographic is put up by datacamp at the following link:
It puts a lot in perspective.
We are extremely biased towards Python for data science since we believe it is application agnostic (unlike R language which is only oriented towards data science and analytics) and has a wide array of applications from web applications and design to data science and more.
Check out below Python for data science cheat sheet uploaded by datacamp! Mighty useful.
It is difficult for us to understand as to why people prefer to learn data science the hard way. A Data science career path is simple but not easy, which is all the more reason why it holds great rewards too.
With Vedasys, you will get solid foundational blocks that will hold you in good stead in this technology arena.
Data science courses have a large and helpful supportive public community too.
Presently we do not offer data science online training classes.
We believe that offering a data science course online is not the best way to train beginners or career changers. We still believe in the old school method of classroom training where you can actually contact your instructor by the simple raise of a hand.
Having said that, a data science online course is a possibility for students based out of Goa, in the next 6 months.
The best way to learning anything would be through free channels such as google and youtube. Plenty of free websites and tutorials are available that make it extremely easy for someone to start building their data science future.
However, this comes with 2 important caveats:
Vedasys provides strong value through a proven practical-based approach to learning. Our program is aimed at data science for beginners and providing a data science degree in India that actually also helps you learning a thing or two. We start with simple data science projects and ensure you understand important concepts deep and well.
Our classes are held at flexible times - this is important since this ensures you are able to complete the course with strong motivation and not drop out in between owing to work and study related commitments - this happens to 1000s of students. Don't let it happen to you - enrol with someone who cares about your development and is interested in helping you.
An excellent collection of the top data science interview questions exists at the following link from datasciencecentral:https://www.datasciencecentral.com/profiles/blogs/66-job-interview-questions-for-data-scientists
Data science learning is a long-term process.
Data science and analytics have become a go-to requirement and the following industry segments rely on the same for strong business intelligence.
Increasingly data science internships are also increasingly available where you can learn copious amounts of data science skills through live data science projects.
Vedasys offers one of the top classroom-oriented data science programs in India.
If you are serious about learning the best data science courses, doing it through a reliable classroom-based data science tutorials provider should be fine. However, to master this vast field we strongly recommend you to get yourself some good books as references.
For many of these data science books pdf format is also available for convenient reading from a single computer screen.
A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data. We will have a module coming out for R soon.
I was always going to take a course where I could see my instructor live handholding my through my learning journey. Free resources on Youtube are good but never good enough for me!
- Carlson Gonsalves
Enjoyed the way Santosh makes ridiculous concepts sound like a piece of cake. He made sure to go the extra mile to cover all necessary, beyond the scope of the course. Learning online is not everyone's cup of tea. Glad I found this team and could plan a solid career foundation with their help!
- Samiksha Anvodkar
A course with the right balance of information & complexity. It was slightly irritating to have the instructor strongly pull us towards hands-on exercises all the time. Towards the end of the course, the true value of learning by doing dawned on us as a group. Learning is way easier when you focus on doing and less on knowledge. Thanks Dwayne!
- Valanky Fernandes