Data Science & Analytics

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Data Science

Data science is an interdisciplinary field related to data mining, machine learning, and big data. Data science uses scientific methods, processes, algorithms, statistics, programming skills, and knowledge of mathematics to extract meaningful insights from data and discovery of actionable information.

Data science is a need as we are adapting data- driven approach on a huge scale so by changing data-driven decisions it will impact businesses in all manner with making use of advanced data analytics and this will grow the business size from local to global. There is no lack of data, as we are collecting lots of data every second and using this data in a right way can benefit many companies potentially correspondingly shaping and helping to predict the future.

Data science applications are getting implemented,besides its financial and economic aspects, data science is simply a fascinating discipline, one which affects many areas of our everyday lives and makes the world a better place. We already use it in many fields, such as quick and easy customer service, intelligent navigation, recommendations and voice-to-text.


Twitter Dashboard Project

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Data Analytics

Technokraft Innovations helps you in understanding what value is to the business, have a process to assess and define potential value. Data analytics provides the ability to drive the decision-making process. We help to analyze data qualitatively and quantitatively but this process is not executed alone with data analysis, we also work on other different technologies to and collabrate all together to comeup with the final desicion.
We think it will find helpful for the client to have a better understanding of business analysis process.
The steps includes: Problem recognition, Review previous problems and findings, Modeling, Data collection, Data analysis, Communicating and acting on results,and Business decisions


Twitter is a gold mine of data. Unlike other social platforms, on twitter almost every user’s tweets are completely public and pullable. This is a huge bonus if you’re trying to get a large amount of data to run analytics on. Twitter data is delightfully specific which result in data analysis. Twitter’s API allows you to do complex queries like pulling every tweet about a certain topic within the last twenty minutes, or pull a certain user’s non-retweeted tweets.

Using twitter api we fetched data from twitter and stored it in a solr database, it helped data to be sorted using machine learning algorithms in python and framework banana is used for visualization. It tracks the highest performing tweets, retweets, follower growth, favorites, mentions,and more.This dashboard provides analytical response of any poll event.

Covid-19 Dashboard


Data Visualization

Data visualization is a graphical representation of information and data.By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.
We have created covid-19 dashboard using a tableau tool which comprises all about data visualization using various databases.


There are two ways of visualizing one is live web connector and other way is through fetching data from databases. In Web Connector all the data is auto-updated using tableau tools and using other databases we have to manually update it such as csv.

Data visualization is important because it makes decision making easier and we can convey our points visually irrespective of the data size, whether in a dashboard or a slide deck, the better you can leverage that information.
It also represents the way the human brain processes information, using charts or graphs to visualize large amounts of complex data than poring over spreadsheets or reports. Data visualization can also: Identify areas that need attention or improvement.

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