How Long It Will Take to Learn Data Science

1. How Long It Will 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.

2. 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 the period of 4 years. 2. Attending a bootcamp which is meant for learning data science - One can join a bootcamp which teaches data science certification. 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. 3. Joining the MOOC - The MOOC or a massive open online course is a course which 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. 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.

3. 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