The Analytic Spectrum


Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. At the core is data. Troves of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it. Advanced capabilities we can build with it. Data science is ultimately about using this data in creative ways to generate business value.


Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. With interactive visualization, you can take the concept a step further by using technology to drill down into charts and graphs for more detail, interactively changing what data you see and how it’s processed.


With the volume of data produced and the speed at which it is accumulated, an organization requires data management to orchestrate the handling of their big data. Big data doesn’t just mean a massive amount of data. It also is referring to data that has the potential to be harvested for many purposes. Data management allows an organization to make their data more valuable because it lets them quickly get meaningful insights from it.

Data Science

With the innumerable amounts of data generated in the technology era, data scientists have become an increasingly needed vocation. Due to the novelty of this profession, many are not entirely aware of the many career possibilities that come with being a data scientist. Those in the field can look forward to a promising career and excellent compensation.

Data Science

Accelerate your career in data science
by mastering concepts of  Statistics,
Machine Learning, R programming, Python and R server

| 140 hours Instructor-led class Room training |
| Global Certification on R |

Microsoft official Curriculum

Business Analytics

The scope for the business analyst profile is ever expanding in India and worldwide. Today, it has become vital for most of the organizations hiring a big data expert for valuable data insights. Exploring business analytics involve several things like -Right business objectives, Right technologies, Right resources, Right business culture, and Right top management commitment.

Big Data Visualization

Learn how to fasten the power of analytics to make better decisions and advance your career.
100 hours Instructor – led Class Room training.

| SQL | | Power BI | | Tableau || Excel | | Analytics Concepts |

Microsoft Official Curriculum
Hands on Case Studies 

Datatrek Edge

Pioneer in Analytics Training

Taught by full time faculty of excellent pedigree who shuttle between Analytics implementations & training

Comprehensive Training

Learn Business analytics & Data science your way at comfortable pace.

Hands-on Projects

Be industry ready by doing multiple projects which you can showcase to build your credibility and expertise in Data Science

Personalised Attention

Learn in class of 15 so that there is no compromise to the Individual attention that you get.

Career Support

Career support that helps you prepare and convert for relevant opportunities in analytics

Build Your ePortfolio

Get trained in Data Science skills and Analytical tools required to build careers in Data Science & Business Analytics 

Corporate Offering

Does your organization have a pressing need to address serious skill gaps within your technical team?

We provide a range of customized training packages that suit your organization’s needs to help achieve bottom line business objectives.

Transform from a knowing culture to a data culture

Want to make your people Data smart?

A comprehensive, end to end
solution to all your training needs

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Workshop on Data Science & Business Analytics

This workshop is designed to introduce participants to Data Science & Analytics as a space and help them gain insights into Analytics applications across domains. The hands-on Workshop also introduces R server with a case-study.

Webinar on 21st July, 2018.

10:30 AM Onwards