DATA SCIENCE
Are you one of the many who dreams of becoming a data scientist.Keep reading this blog , if you're passionate about data science .
Because we will tell you ,how does it really work under the hood .
Lets take an example of an Data Scientist girl Emma. Emma is a data scientist lets see how a day inner life goes while she's working on data science project.
Well its very important to understand the business problem first.
BUSINESS PROBLEM IN DATA SCIENCE
In her meeting with the clients Emma asks relevant questions , understand and defines objectives for the problem that need to be tackeled. She is a purist soul who asks a lot of ice.
DATA ACQUISITION & DATA PREPARATION
One of the many traits of a good data scientist ,Now she cares up for data acquisition to gather and scrape data from multiple sources like SAP servers , logs , databases , API's and online repositories. Oh it seems like finding the right data takes both time and effort after the data is gathered comes data preparation. This step involves data cleaning and data transformation.
Information cleaning is the most tedious procedure as it includes taking care of numerous unpredictable situations.
Here,
Emma deals with inconsistent data types, misspelled attributes ,mssing values ,duplicate values, and what not then increase the transformation she modifies that data based on defined mapping rules in a project ETL tool like talent and informatica, these are used to perform complex transformations that helps the team to understand the data structure better then understanding what u actually can do with your data is very crucial for that.
EXPLORATORY DATA ANALYSIS IN DATA SCIENCE
EMMA does exploratory data analysis with the help of EDA she defines and refines the selection of feature variables that will be used in the moral development but what if EMMA escapes this steps. ???
She might end up choosing the wrong variables which will produce an inaccurate model thus exploratory data analaysis becomes the most important step.
DATA MODELLING
Presently she continues deeply action of an information science venture, for example, information demonstrating , she repeatly applies types powers AI ,procedure like KNL ,choice tree ,blade stage to the information to recognize the good that best fits the business prerequisite .
She trains the models on the training data set and tests them to select the best performing model Emma prefers python for modeling the data however , it can also be done using R and SAS .
Well the trickiest part is not yet over.
VISUALIZATION AND COMMUNICATION
Emma meets the clients again to communicate the business findings in a simple and effective manner to convince the stakeholders.
She uses the tools like Tableaue power bi and Qlik view that can help her in creating powerful reports and dashboard and then finally, she deploys and maintains the model .She tests the selected model in a pre-production environment before deploying it in the production environment,
which is the best practice right after successfully deploying it.
She uses reports and dashboards to get real time analytics further
She also monitors and maintains the projects performance.
Well that's how Emma completes the data science project.
We have seen the daily routine of a data scientist is a killer fun & has a lot of interesting aspects and comes with its own share of challenges .Now lets see how data science is changing the world.
IMPORTANCE OF DATA SCIENCE IN DAY TO DAY LIFE
- Data science techniques along with genomic provides a deeper understanding of genetic issues in reaction to particular drugs and diseases. Logistics companies like DHL , FEDEX have discovered the best routes to ship the best suited time to deliver the best mode of transport to choose ,thus leading to cost efficiency with data science.
- It's is possible to only predict employee attrition but to also understand key variables that influence employee turnover ,also the airline companies can now easily predict flight and notify the passenger before to enhance the travelling experience.
- Well if you're wondering ,there are various rules offered to a data scientist like data analyst ,machine learning ,engineer deep learning ,ingenio data engineers.And of course data scientist, the median base salaries of the data scientist can range from 95 thousand to 165 thousand dollars.
So that was about the data science
Are u ready to be a data scientist ,if yes than start today the world of data needs you. Thats all from my side today
Thank you for reading.
Comment below the next topic that you want to learn.
THANK YOU FOR YOUR SUPPORT AND CARE
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