Data Science Training Course in Hyderabad Overview

In today’s data-centric world, where everything and anything is analyzed with data to predict, deliver, and manage services, it is critical for professionals to get trained in Data Science training in Hyderabad. Data Science courses in Hyderabad have a lot of demand due to enterprises adopting Big Data, Hadoop, Machine Learning, AI, and other key emerging technologies. In such a scenario, it is critical for professionals to get Data Science training in Hyderabad. Koenig Solutions provides widely-acknowledged Data Science courses in Hyderabad for professionals and organizations to turn data into actionable insights to find newer opportunities and deliver products and services according to the market needs.

Data Analytics courses in Hyderabad are ideal for Data Analysts, Business Analysts, Project Analysts, and other aspiring Data Management professionals who are looking to help enterprises achieve real business value and stay ahead of the competition. Participants have the option to take up their Data Science training in Hyderabad across various learning modes and different time slots in 4 hours/day and 8 hours/ day options. Check out the relevant Data Science Training in Hyderabad to enrol today.

Check out the dates below and enroll for the Data Science certification course today.

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Live Online Training (Duration : 24 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1400 + If you accept merging of other students.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1250 Per Participant
Online
03 - 05 Apr
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
01 - 03 May
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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Add Name and Email Address of participant (If different from you)

Course Prerequisites
  • Basic Computer Knowledge.

Reasons to choose Data Science Certification Courses from Koenig

  • Top picks of Data Science Certification courses applicable to professionals across industry sectors
  • Begin and complete your Data Science certification journey with Koenig with a comprehensive list of Data Science and related courses under one roof
  • Expert Data Science instructors and lab sessions to clear your various Data Science certification examinations
  • Popular Data Science Certification course materials prepared by SMEs with regular content updates
  • Be part of Data Science Certification training from an Accredited Training Provider who is in the business for more than 25 years
  • Get Flexible dates for both public Data Science workshops and on-site training programs
  • You can take your Data Science course as both 8 hours/ day or 4 hours/ day options as both weekend and weekday training
  • Multiple learning modes that also include 1-on-1 training for dedicated attention
  • Take part in ‘Guaranteed to Run’ Data Science Certification sessions with ‘Exam Pass Guarantee’
  • Become a Data Scientist with widely-recognized Data Science certification training courses
 

Benefits of Data Science Certification Training

  1. Validate your commitment towards your profession by learning Data Science skills that are high in demand by employers across the globe.
  2. Data Scientists earn a better salary package compared to other professionals. According to Dice.com, the average salary range for Data Science professionals ranges from USD 91,000 to USD 169,000 per year. The salary range differs depending on the location, job role, and experience.
  3. Be part of a booming Data Science domain that is spread across industry sectors and which will have a drastic demand for Data Scientists in the future
  4. Improve your marketability by earning some of the most sought-after Data Certification credentials.
  5. Gain a comprehensive knowledge of working with the latest technology stacks in the form of Django, SAP, Spark, Python, Scala, Elastisearch, Hadoop, Oracle, SAS, Apache, MongoDB, Java, and more.
  6. Data Science certification training helps you to keep up with the latest industry trends to expand your knowledge base.
  7. Future-proof your career with Data Science certification training and increase your opportunity to land job offers from Fortune companies.

About Hyderabad City

Hyderabad is also known as the Cyber City in the IT corridors, has the fourth-highest GDP in India for a metropolitan. Hyderabad, which was the gateway to southern-central India, was popular for pharmaceuticals and electronics-based business in the past, but today the city is very popular for its IT, Biotech, Finance, Retail, and Communication sectors. IT exports from Hyderabad stood at 15 Billion last year, which achieved a year-on growth of 18%. The biggest of Fortune companies have set up their bases in Hyderabad, which has created a planned architecture corridor in the form of a Hi-Tech city that has nothing but IT service-based companies. Even though being a Tier-2 city, Hyderabad created more jobs than any other major metropolitans of India. With such a huge influx of companies coming up in Hyderabad, there is a dearth of certified Data Science professionals. Taking up Data Science training in Hyderabad will ensure credibility and add value to your resume.
 
Even though Hyderabad is not a major metropolitan city, the demand for certified Data Science professionals is higher in the range of 4000+ jobs. Some of the top companies that are actively looking for certified Data Science professionals include xcube LABS, Microsoft, Cognizant, Wipro, Alphaserve Technologies, Zessta, ThoughtWorks, Parexel, Bosch, Frameworks, Colliers, Arminus, Novartis, and many more. The average salary of a Data Science certified professional in Hyderabad is in the range of 9 Lakhs to 26 Lakhs per annum. Enrol for Data Science Course in Hyderabad to get relevant Data Science job openings in Hyderabad and elsewhere.