What is data science ?
- 1. What is data science
- 2. Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
- 3. Let's see how data scientist goes through in his/her work !!!😱 1.Identifying Business Problem a data scientist initial job will be identifying the business problem the should selected under important of the topic selecting the most problem that will influence the business growth and when the problem is identified & selected he/she thinking about why this problem has arisen so many questions has to be answered to tackle the current scenario tough the data scientist needs to collect the data from the various sources hence, next phase will be collecting information relevant to solve the business problem
- 4. 2. Data Acquisition this step can be also described data mining due to the nature of this process. data can be collected from multiple sources according to the availability & similarly the data are from the various like web servers, logs, databases, API's and online repositories this seem's takes both times and effort taking the process to complete and collected the data need to filtered so the phase will be data preparation. 3.Data Preparation The next job will be data preparation where he has to organize the data which includes two phases of the process which data cleaning and data preparation this is the most time- consuming process where the data scientist needs to work on the data .data cleaning activity due to the data collected from various sources might include inconsistent data, misspelled attributes and missed or duplicate values. in spite of data cleaning the other part of preparation could be a data transformation. here the data scientist's objective will be to modify the data according to the defined mapping rules. moreover for minimizing the complexity of the data formation project team will use the e-tail tools like TALENT, INFORMATICA.
- 5. 4. Exploratory Data Analysis After the preparation of the data, the next stage is to what you can do the data very crucial, with the help of EDA (EXPLORATORY DATA ANALYSIS ) the data is defined and refined the selection feature variables that will be used in the model construction 5.Data Modelling In the process of the prospect is to identify the model that give optimum fits to the business requirements by trialing the data set's and the test them to select the best acting model the are a few programs are used to do this like python, R and SAS6. Visualization and Communication
- 6. 6. Visualization and Communication this is the most complex part of the work where needed to meet the clients again continue to communicate the business findings simple and effective manner to convince the stakeholder for this tool TABLEAU, POWER BI and QLICK VIEW which will help in creating power repots and dashboard's 7. Deploy and Maintaining In this process, the data scientist test the selected models in the pre-production environment before deploying it in a production environment which is the best practice and after successfully deploying it then reports and dashboards are used for acquiring real- time analytics apart from that scientist also monitor and maintenance project performance this will end up data scientist project
- 7. now you got data scientist work in his/her project let's take how a data science changes the world data science provide understanding genetic issue in a deeper sense in reaction to particular drugs and disease. logistics companies like DHK, FEDEX have discovered the best time, routes, transportation mode, and delivery does leading to cost of efficiency in another case of this data science not help predict employee attrition but also the variables that affected in employee turn over also the airline's companies can easily predict the flight delay communicate it with passengers before and to enhance the travel experience There are various roles offered to a data scientist like : 1 Data Analyst 2 Machine Learning Engineer 3 Deep Learning Engineer 4 Data Engineer 5 Data Scientist THANK YOU READING THE CONTENT HOPE THIS USEFUL FOR YOU