Data Science

Data science is a subject deal with big data to get some useful and valuable information or data, helpful in business development and IT sector. Large amount of data is available in structured and unstructured manner and data mining is done to it so that a valuable pattern is achieved that help to cut costs of services and increase efficiencies of an organization, which result in recognizing new opportunities of market.

Data science use computer science, mathematics, and computer science disciplines and it includes techniques like machine learning, data mining, and visualization.

Machine learning is going to change to change the world and how the internet make the life’s easier but one thing that underpins all these revolutionary technologies, the answer is data. A lot of data is generating from social media and I am sure that you are using Uber. What do you think makes a multi-billion dollar worth company, is it that availability of cabs, or is it that service. Well, the answer is data and Data makes them very rich. But wait; is data enough to grow a business? Of course it isn’t. It was know how to use the data to draw useful insights and solve problems, where data science comes in. In simple words, data science is the process of using data to find solutions or predict outcomes for the problem statement.

Data Scientist

A typical business model generates huge data with time and this data should be handled with some useful technique and handling of data requires you to hire data scientist. Data scientist converts raw data into valuable business information. Data scientist gathers this big unstructured or poorly structured data and extracts a specific data or pattern of data so that this data is further used for processing and investigation. Data scientist has expertise in data mining, analytic, machine learning statistical skill, algorithms, and coding. Data scientist performs data visualization, help to increase value of digital information. Data scientist should be capable of presenting actual value of data in a very easy manner. Data scientist draws data or information from different source including smartphones, social media, surveys, etc. So going through collection of big data, data scientist easily identify patterns to solve problems by using method data analysis or also called data mining.

Benefits of Data Science

If an organization include data science that it help taking accurate decisions on time, result in great probability and efficiencies. The task of data scientist is to implement such policies and decisions which are helpful to take the organization forward. Company can focus on their targeted audience with the help of data science.

It depend on company or organization how much it take benefits from data. Sale and marketing departments can utilize data science by mining customer data which help to improve conversion rates or door to door marketing campaigns. Banks easily detect fraud detection by using data science. Streaming service like Netflix also depend on data science to detect their viewers and plan which program or movie to produce. Shipment companies like FedEx, DHL, and others to find best routes and delivery times in order to enhance their services and cut their costing factor.

Machine Learning

Machine learning is part of data science and tool of Artificial Intelligence. Machine learning is helpful in data-processing of data science and Machine get expertise in advance algorithms, capable of processing of huge amount of data in just a faction of time. Data scientist collect the more structured and organized data from machine learning tool and convert them in a format that become more useful and helpful to organization.

Exploratory data analysis

Are you interested in data science? So this blog is for you who want to be data scientist. We will tell you how it works. It is very important to understand the business problem first and then second step is data acquisition. So lot of data is collected from different sources and now the process of cleaning and transformation is carried out. Data cleaning is the most difficult task and lot of work is required in different scenario. It includes inconsistent data types, misspelled attributes, missing values and duplicate values.  In data transformation, data is modified on defined mapping rules.

                      With EDA, it defines and refines the selection of features variables used in the model development. It is the most important step and if we skip this analysis then it will result in inaccurate data.

Data Modeling

                     Here applied first type machine like KNN, NAÏVE BAYES, and DECISION TREE in order to identify the model that is fit for the business requirement and trains the model on different data set and then select the best performing model.

Visualization and communication

                                   The trickiest part is visualization and communication. Here you just need to discuss the problem and its finding with very informal and effective manner using the tools like tableau, Power BI, Qlik view help to create powerful report and dashboard.

Deploy and Maintain

                                Now here you test the model on pre-production environment before you apply it on production environment and it is considered as best practice. Data scientist use report and dashboard to get real time analytics. So daily routine of data science is just like a fun with lot of different interesting aspects and come with different challenges.   

How data science is changing the world?

                               Data science techniques along with genomic data provide a deeper understanding of genetic issues and reaction to a particular drug and diseases. Logistic companies like FEDEX, DHL have discovered the best routes and time to ship lead to cost efficiency. It is possible with data science to predict employment attrition and understand the variables that influence employee turnover. Airlines companies are now able to inform their passengers about flight delays.

So there are various roles offered to data scientists including Data analyst, Machine learning engineer, data engineer, and data scientist. The monthly income of data scientist is like about from $90000 to $170000. So large numbers of data scientist required in today worlds and if you have little bit interest then start learning of data science today.