January 11, 2020
Welcome to the world of Data Science. If you are the one who is very passionate about Data Science, But Looking for some platform where you can start learning from scratch, then you are in the right path. Yes! I am starting to learn and i will update this blog with all my learnings about Data Science, so start learning with me!!!!
There is another reason for writing this blog, that is- whenever i search for Data Science learning, all my searches are ending into a course link which is finally asking to enroll for a course with fee structure. I would like to make this learning free of cost. So stay tuned in this blog for entire Data Science learning.
In this page, we can learn below topics
As the world is emerging with Data, everyone wants to play with Data for some useful cause. Getting some usueful information from high volume of Data, has become the trend. This trend later named as Data Science. Now in the official words “Data Science is a scientific method, process, systems to extract knowledge ,insights from data.This Data can be either structured or unstructured. Data Science = Maths + Statistics
Below is the flow of this course.
Below are some of the Data Science Applications. And in Future its going to be everwhere, beyond our imagination.
Below are few fields in Data Science
Below is the work flow of a Data Scientist
The problem or Business Objective should be understood in the right way. To understand the exact problem, a Data Scientist asks more questions(why’s),or conduct interviews or make more questionaires with client. Understand the problem right, will solve 50% of the issue. The rest will come under analysis of the problem and prediction of right solution.
After the problem identifiction or right identification of Business Objective, Data Scientist try the core to get all related records to proceed further. The relevant Data can be DB logs, Online Data entires, or Web logs,structured or unstructured data, any form of relevant data will be gathered for analysis.
Data preparation is nothing but cleaning the Data which involves some below steps. After Data Gathering, we do below steps to prepare the data for further Analysis.
Convert Data from one format to another required format is Data Transformation. We have tools like Talend and Informatica to help in this stage.
Deep Analysis of Data is taken place in this section. In this stage selection of feature variable is defined and refined. Statistics and Analytics help us in these stages to understand the Data better. We can learn statistical techniques in upcoming posts.
In this stage, selection of best fit Machine Learning algorithm is identified and the selected alogrithm is applied on Data to identify whether it is the best suit for Business.
In this stage, powerful and dashing reports will be created using Tools like Tableaue and Power BI and Qlick View. This reports are shown to customer to explain them how the Business Problem will be solved with the best fit ML model.
The final stage involvs Deploy and Test ML Model and Maintains the Model.
This is how the Business Problem is solved by a Data Scientist. Upcoming posts will be explaining all these steps in detail.