How Long It Will Take to Learn Data Science?

11-Feb-2021

How fast can you become a data scientist?

Data science is one of the most rapidly increasing professions in the twenty-first century. Big Data provides answers to critical concerns in every industry, from businesses to non-profits to government agencies. There is an almost limitless amount of data that can be sorted, evaluated, and used for multiple purposes.

You must be someone aspiring to become a data scientist, and if you are wondering how fast can you become a data scientist? It's all in your will and determination to do it. While there is no substitution for hard work, beginning right is the best way forward. 

Typically there are three ways to pursue a data science career path:

• Obtain a bachelor's degree in information technology, computer science, mathematics, business, or a related discipline;
• Get a Data Science master's degree or relevant discipline
• Gain experience in the domain you wish to venture into, for instance, Business, Physics, or healthcare.

While there's is no shortcut to becoming an expert, the quickest way to become a data scientist is to enroll in a certification course after your college degree as it offers you the scope to get more exposure to opportunities and hands-on practical experience on industry-relevant projects. 

Numerous institutes offer data science courses and certification training for graduates interested in pursuing a data science career. 

Begin with a basic course and start with learning Python. 

Python is the most favored programming language with a well-defined syntax and is often suggested for beginners. Fortunately, it also offers the flexibility to allow you to perform more complicated data science and machine learning tasks, such as deep learning.

Companies are looking for data scientists who can help them save money or make their consumers happy. When it comes to learning, the same procedure applies, keep looking for new questions to answer and answering harder and more complicated ones. 

How much does a data scientist make?

To give you more precise information, below are the top hiring companies for data scientists with their average salary packages:

IBM Corp- INR 1,468,040 per annum
Accenture-INR 1,986,586 per annum
JP Morgan Chase and Co-INR 997,500 per annum
American Express-INR 1,350,000 per annum
McKinsey and Company-INR 1,080,000 per annum
Wipro Technology-INR 1,750,000 per annum

How much time will it take to learn Data Science?

If one enrolls in a university or a college they will take up to 4 years to become proficient in data science. But by enrolling in a Post Graduate Program in data science course they can reduce that time to just 1 quick year.

The time it takes to become well-versed with the concepts, topics, algorithms, tools, and techniques of data science can vary wildly. After all, it’s not a small field and it is extremely dynamic, with new breakthroughs and innovations happening all the time.

But if one tries to learn data science on their own, without any expert guidance, it can take them up to a decade to even produce basic applications with data science technologies.

This is because the field is hardly easy to grasp or comprehend, and even reaching the entry point as an aspiring data scientist can become daunting and prohibitively difficult if one doesn’t take the shelter of a good educational course provider. So it bears repeating that the best way to learn data science is to take a data science certification.

Is it Possible to Learn Data Science Online?

Today, everything is possible with online web services. Thanks to the online medium and the digitized world that we live in. Whatever is happening in front of our eyes is happening so fast and with a click of the button, that people simply seem so negligent about the whole big data circulation and data analytics happening at the backend.

It’s because we don’t realize how big work Data science is doing! Therefore, in a techno-freak world that is moved and escalated with the help of data, it is very much possible to learn Data science online. 

Looking at the burgeoning Data Science domain, learners and professionals alike are targeting well-taught Data Science courses online. Possibilities are many, and resources are also many! But, a learner has to search for wise ways to choose which training course is more authentic, accredited, and of value online. 

If we leave all fraudulent Data Science training behind, Careerera is a one-stop for Data Science certification and training for aspirants. It offers various courses in the popular discipline. These are:  

• Post Graduate Program in Data Science
• Data Science with Python
• Masters in Data Science Engineering
• Masters in Data Science and Analytics
• Data Science Professional Certification

If SQL and Python interest you, programming fascinates you and you have heed for data visualization and statistics, Careerera is the place for you. Here, the dedicated industry experts and their live video sessions can help you get where you want to in your professional career! Be it a Data Scientist job, or Data Engineer one, we have got you. 

Come, it’s time to enroll now at Careerera. 

What are some good ways to learn data science?

1. Getting a university or college degree -

One can go to a university or a college and enroll in a 4-year degree program. They can spend 4 years of their life engaged in learning the ins and outs of data science from very qualified teachers who will put in every ounce of strength that they possess into teaching the students in a satisfactory way.

They will be able to imbibe high-quality lessons on all the intricacies and nuances of data science over a period of 4 years. A few disadvantages are that the classes will be in-person and hence not recorded in a format that can be replayed again. Another disadvantage will be that the learners will not be able to consult the teachers in a one-on-one interaction setting because of the large number of fellow students and the relatively small number of teachers. 

As one can guess from the theme of this article, it is recommended that one avoid this expensive method and simply choose to learn data science online.

2. Attending a Bootcamp which is meant for learning data science -

One can join a Bootcamp that teaches data science. This option is the least favorable option for a learner if they want to become truly proficient in data science someday.

Bootcamps usually don’t go on for more than 2 months and sometimes even end in a few weeks. So a learner will have to pick up all the core concepts and topics related to data science in a matter of months when going by a more conservative and holistic approach will give them at least a year to fully understand and imbibe all the concepts involved (such as if they were to learn data science online). This means that it is best to avoid bootcamps if one wants to avoid being put through a rushed and inadequate learning experience.

3. Joining the MOOC -

The MOOC or a massive open online course is a course that allows thousands or even tens of thousands of learners to enroll at once in it. This is made possible with the power of the internet. The course is hosted online on very well-designed and robust data servers. So the massive load of tens of thousands of students accessing the course study materials at once does not bring the servers down.

Through advanced methods of load balancing and network distribution, the servers stay online through thick and thin. It also has very high quality and world-class instructors but the disadvantage of not being able to interact with them in one on one sessions is still present. All said and done this method is quite similar to taking a data science certification but there are still significant differences present which learners will surely appreciate.

4. Enrolling in an online data science certification course -

The best option for a learner who wishes to become proficient in data science and be known by the title of an ‘expert data scientist’ is to join an online data science certification course. In a course like this, there are several advantages which a discriminating learner may be able to appreciate.

The first is that the instructors of the course are truly world-class and have been selected by the institute only after being subjected to a most rigorous and stringent screening process. The second is that the course curriculum has been designed with the utmost care and with scientific precision in order to bring the learners into contact with the most relevant and pertinent topics in the field of data science.

The third and the greatest advantage is that the learners will be able to interact with the instructors in one on one sessions due to the small batch sizes and the relatively comparable number of instructors.

What are the skills needed by a data scientist?

• Statistics
• At least one programming language – R/ Python
• Data Extraction, Transformation, and Loading
• Data Wrangling and Data Exploration
• Machine Learning Algorithms
• Advanced Machine Learning (Deep Learning)
• Big Data Processing Frameworks
• Data Visualization

Related Blog Posts:

1. Data Scientist Salaries Around the World
2. Data Science Course Admission, Fees, Duration, Syllabus and Jobs
3. Best Way to Learn Data Science Effectively
4. Data Science: A Thriving Field in 2022 With a Promising Future
5. A Comprehensive Overview of Data Science Courses

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