Once this is done, the next step is to learn any scripting language in-depth preferably Python which can be used to apply statistical models on the cleaned data. The understanding of a scripting language would enable the student to implement the concepts learned with real-world data and see the outputs. Finally, once the student is comfortable with the basics of statistics and Python; he can then proceed towards more complicated statistical models & predictive analytics.
Data science is the branch of science that deals with the collection and analysis of data to extract useful information from it. The data can be in any form, be it text, numbers, images, videos, etc. The results from this data can be used to train a machine to perform tasks on its own, or it can be used to forecast future outcomes.
Analysis of Data has become one of the vital focuses of companies presently. It is not something new, it has been around since a long time, it just has sprung into limelight. With the current rate of expansion of businesses and humongous amount of users on the internet, it has become vital for companies to analyze data of their consumers in order to gain the competitive edge.
What are the skills required to become a Data Scientist?
- Machine Learning
- Predictive Analysis, Data Munging, Visualization, and Reporting
- Coding in Python and R
- Learn to work on databases like MongoDB, the most popular NoSQL database:
- Develop Communication Skills and Communicate Effectively
Learning data science can be done in two ways. The first is to learn on your own by watching YouTube tutorials, and the second is to enroll at a data science institute.
Choosing the second alternative, in my opinion, is a far better choice than wasting time looking for good data science material, watching videos, and following online courses. Alternatively, you might enroll in a data science institute that will supply you with the necessary materials as well as practical sessions to help you become an expert.
Today, the question is how can we determine which institute is the best for learning data science.
So, here are some things to consider before deciding on an institute:-
Take a look at the data science curriculum. The modules indicated in the course that is required for data science will be taught.
They should provide complete hands-on training. Also, apply your skills to real-world projects to help you become a data science specialist.
The best institutes would charge reasonable rates so that they can concentrate on improving students’ skills in a shorter period.
They should have an excellent track record of job placement and provide students with internship opportunities.
They should have a knowledgeable team that focuses on each student individually and assists them in resolving their doubts by holding separate doubt sessions.
You can try this learning path on data science to learn more and become an expert