Data Science

What is Data Science?



Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured, semi-structured and unstructured data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science.

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Why is it so important?



Because companies are sitting on a treasure trove of data. As modern technology has enabled the creation and storage of increasing amounts of information, data volumes have exploded.
It’s estimated that 90% of the data in the world was created in the last two years. For example, Facebook users upload 10 million photos every hour. But this data is often just sitting in databases and data lakes, mostly untouched. The wealth of data being collected and stored by these technologies can bring transformative benefits to organizations and societies around the world—but only if we can interpret it. That’s where data science comes in.

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Data Analytics Value Chain


What Data Science Includes


Data Storage and management
In order to be able to access data quickly and reliably during subsequent analysis

Data cleaning
In order to get an informative, manageable data set

Exploratory Data Analysis
To generate hypotheses and intuition about the data

Prediction through modelling
Using statistical tools such as regression, classification, clustering, forecasting and optimization

Communication of Results
Through visualization, stories, and interpretable summaries.

Various Roles available in Data Science


data science visualization
  • Build Data Driven Platforms
  • Data Integration
  • Operationlize Algorithms and Machine learning models
data science analytics
  • Exploratory Data Analysis
  • Performing various types of analytics
data science visualization
  • Story telling
  • Build Dashboards and other Data visualizations.
  • Provide insight through visual means.
data scientist
  • Prove / disprove hypotheses.
  • Information and Data gathering
  • Data Cleaning
  • Algorithm and ML models.
  • Communucation
data science data analytics
  • Project management.
  • Manage stakeholder expectations.
  • Maintain a Vision
  • Facilitate.

Data Science Journey with TQMI


TQMI has developed a unique program to develop competency in the field of data science for the organizations to utilise the power of Data Science technologies step by step

Who should attend


  • People from any enterprise, or organization, cannot afford to miss the opportunitues provided by big data.
  • Proces owners with fire in the belly to improve performance,
  • Business excellence coordicators; professionals from the field of continual improvement using PDCA or Six Sigma approach

For the price and schedule; please contact us at neeta@tqmi.com or click on the Enroll Now

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