Program Overview
These days, its universe is driven by information and the labor force behind it is comprised of information researchers and examiners. To get comfortable well with the information and to drive their organizations to progress, organizations need information science and information examination. Organizations settle on information driven choices to arrive at their expected customers/crowd to work on their business.
Information Science accentuates on finding noteworthy intel from the crude information though Data Analytics is the most common way of performing factual examination on the current informational indexes. It puts more accentuation on the inquiries that are being posed right now. Basically, Data Science produces more extensive bits of knowledge that focuses on the future results and Data Analytics centers more around the current applications.
Then again, in Machine Learning, we use information to test and prepare our model. About making models can gain from the given information and give results or expectations dependent on the new patterns.
Model: Recognizing fingerprints, Predicting stock costs, and self-driving vehicles.
Information Science and Machine Learning are blossoming fields and their applications are various. The chances in this field have filled dramatically as of late. The "PG Program in Data Science and Data Analytics" is intended for the individuals who try to seek after their vocation and flourish in this space. Through this course, you can get your rudiments solid and apply them in true applications. This course comprises of undertakings where you can apply your learned hypothesis for all intents and purposes.
This program gives the understudy admittance to 9 unique courses. The projects referenced underneath can be taken up at the Skill Center
Math behind Machine Learning and Artificial Intelligence utilizing Python
Information Analysis and Visualization with Excel
SQL for Data Science
Center and Advanced Python Programming
Compelling Dashboards utilizing Power BI (OR) Business Intelligence and Visualization with Tableau
The following arrangement of courses can be taken on the web. Contingent upon the decision that you made for the fifth course , you have the choice of taking the other one in an internet based mode.
AI and Artificial Intelligence for Mechanical, Civil and EE Engineers
Information Structures and Algorithms
Progressed Deep Learning
Compelling Dashboards utilizing Power BI (OR) Business Intelligence and Visualization with Tableau
For this program, we offer admittance to our Skill-Centers in Chennai and Hyderabad.
What is a Skill Center?
The Skill-Center is a disconnected focus that is made accessible to understudies who take on this program
Advantages of learning at the Skill-Center incorporate,
Best in class framework to guarantee that you bamboozle mixed learning
Day by day Live Training Sessions by an Industry Expert with 6-10 years of involvement with the space
Committed Technical Support Engineers supporting you through the learning system
Committed Career Support
3 Industry Expert Sessions
Resume and LinkedIn Profile Building
5 Mock Interviews
Intermittent Skill Assessment Tests, to evaluate Student's information on both
Specialized and Tool Knowledge
Assisting Students with going after positions and setting up Interviews for Placement
Openings (10) through Skill-Lync
Online Coordination and Placement Support for a long time past program end date, or 10 Placement Opportunities whichever closes first
Admittance to Alumni-explicit Content and Forum
Fabicate an organization with understudies who are driven by a similar enthusiasm
Ability Center Operational subtleties you should know -
Program will be for a very long time
Understudy Timings: Monday-Friday, 10 AM - 6 PM
Participation and Leave strategy - Students are relied upon to go to Skill-Center on every functioning day
Adherence to timings anticipated from understudies, to not upset the morning meeting by the Technical Specialist
Time away from the understudy won't influence program finish date Student to put forth attempt to get up to speed utilizing the live meeting recordings and proactively connect for help
Long time away because of COVID-19
Nonappearance up to about fourteen days can be obliged in a similar cluster, understudy exertion needed to quick track progress
Past about fourteen days, elective clump ideas will be shared for the understudy's decision dependent on our dispatch plan
Expertise LYNC won't give food or convenience
Subteties of closest PGs/lodgings will be shared fourteen days before program start date. Understudies can think about them for their convenience. Expertise LYNC won't be answerable for the nature of administration given by some other business.
Understudies will be needed to orchestrate their own workstations
Least Specifications for workstations will be refreshed in the blink of an eye
Workstations can be benefited at an extra expense of 18k or 3k each month for quite some time!
Understudies can join a continuous cluster just for the initial fourteen days from dispatch date
An average day at the Skill-Center
Time Activity Responsibility
10:00-11:30 Whiteboard Session on the Day's Curriculum*, Key Concepts, FAQs, Tips for the day's difficulties and self-study, Solution conversations and uncertainty clarifications Technical Specialist
11:30-13:00 Detailed Study+ Learning Software/Tool Application Student, upheld by TSE*
13:00-14:00 Lunch Break
14:00-17:00 Self Study+ Assignments+ Challenges Student, upheld by TSE
17:00-18:00 Group Sessions 1 TSE with 20 understudies
*Day's educational program plan and timetable for understudies to follow, *Technical Support Engineer
The following are several pictures of our Skill-Center at Chennai
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Speak to our technical specialists to understand what is included in this program and how you can benefit from it.
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List of courses in this program
1These days, its universe is driven by information and the labor force behind it is comprised of information researchers and investigators. To get comfortable well with the information and to drive their organizations to progress, organizations need information science and information investigation. Organizations settle on information driven choices to arrive at their expected purchasers/crowd to work on their business.
Information Science stresses on finding noteworthy intel from the crude information though Data Analytics is the method involved with performing measurable examination on the current informational indexes. It puts more accentuation on the inquiries that are being posed right now. More or less, Data Science produces more extensive experiences that focuses on the future results and Data Analytics centers more around the current applications.Then again, in Machine Learning, we use information to test and prepare our model. About making models can gain from the given information and give results or expectations dependent on the new patterns.
Model: Recognizing fingerprints, Predicting stock costs, and self-driving vehicles.
Information Science and Machine Learning are blossoming fields and their applications are various. The chances in this field have filled dramatically as of late. The "PG Program in Data Science and Data Analytics" is intended for the individuals who seek to seek after their profession and flourish in this area. Through this course, you can get your rudiments solid and apply them in true applications. This course comprises of activities where you can apply your learned hypothesis for all intents and purposes.
This program gives the understudy admittance to 9 distinct courses. The projects referenced underneath can be taken up at the Skill Center
Math behind Machine Learning and Artificial Intelligence utilizing Python
Information Analysis and Visualization with Excel
SQL for Data Science
Center and Advanced Python Programming
Viable Dashboards utilizing Power BI (OR) Business Intelligence and Visualization with Tableau
The following arrangement of courses can be taken on the web. Contingent upon the decision that you made for the fifth course , you have the choice of taking the other one in a web-based mode.
AI and Artificial Intelligence for Mechanical, Civil and EE Engineers
Information Structures and Algorithms
Progressed Deep Learning
Successful Dashboards utilizing Power BI (OR) Business Intelligence and Visualization with Tableau
For this program, we offer admittance to our Skill-Centers in Chennai and Hyderabad.
What is a Skill Center?
The Skill-Center is a disconnected focus that is made accessible to understudies who take a crack at this program
Advantages of learning at the Skill-Center incorporate,
Cutting edge framework to guarantee that you outdo mixed learning
Every day Live Training Sessions by an Industry Expert with 6-10 years of involvement with the space
Devoted Technical Support Engineers supporting you through the learning system
Devoted Career Support
3 Industry Expert Sessions
Resume and LinkedIn Profile Building
5 Mock Interviews
Occasional Skill Assessment Tests, to evaluate Student's information on both
Specialized and Tool Knowledge
Assisting Students with going after positions and setting up Interviews for Placement
Openings (10) through Skill-Lync
Online Coordination and Placement Support for a considerable length of time past program end date, or 10 Placement Opportunities whichever finishes up first
Admittance to Alumni-explicit Content and Forum
Fabricate an organization with understudies who are driven by a similar energy
Expertise Center Operational subtleties you should know -
Program will be for a very long time
Understudy Timings: Monday-Friday, 10 AM - 6 PM
Participation and Leave strategy - Students are relied upon to go to Skill-Center on every functioning day
Adherence to timings anticipated from understudies, to not upset the morning meeting by the Technical Specialist
Time away from the understudy won't influence program fulfillment date Student to put forth attempt to make up for lost time utilizing the live meeting recordings and proactively connect for help
Long time away because of COVID-19
Nonattendance up to about fourteen days can be obliged in a similar cluster, understudy exertion needed to quick track progress
Past about fourteen days, elective clump ideas will be shared for the understudy's decision dependent on our dispatch plan
Expertise LYNC won't give food or convenience
Subtleties of closest PGs/lodgings will be shared fourteen days before program start date. Understudies can think about them for their convenience. Ability LYNC won't be answerable for the nature of administration given by some other business.
Understudies will be needed to organize their own workstations
Least Specifications for PCs will be refreshed in no time
PCs can be benefited at an extra expense of 18k or 3k each month for a considerable length of time!
Understudies can join a continuous group just for the initial fourteen days from dispatch date
An average day at the Skill-Center
Time Activity Responsibility
10:00-11:30 Whiteboard Session on the Day's Curriculum*, Key Concepts, FAQs, Tips for the day's difficulties and self-study, Solution conversations and uncertainty clarifications Technical Specialist
11:30-13:00 Detailed Study+ Learning Software/Tool Application Student, upheld by TSE*
13:00-14:00 Lunch Break
14:00-17:00 Self Study+ Assignments+ Challenges Student, upheld by TSE
17:00-18:00 Group Sessions 1 TSE with 20 understudies
*Day's educational program plan and course of events for understudies to follow, *Technical Support Engineer
Book a DemoFlexible Course Fees
Choose the Master’s plan that’s right for you
Lifetime Access
- Job Assistance : Maximum of 10 opportunities
- Master's Assistance : Lifetime
- Access Duration : Lifetime
- Mode of Delivery : Online
- Project Portfolio : Available
- Certification : Available
- Individual Video Support : 24*7
- Group Video Support : 24*7
- Email Support : Available
- Forum Support : Available
- Telephone Support : Available
- Dedicated Support Engineer : Available
- Paid Internship : 3 Months
Testimonials
Shrey Shah
Design Engineer @ Openso Engineering
Jitesh Sahjwani
Trainee Engineer @ Equilibrium Solutions Pvt. Ltd.
PHANI CHANDRA S
Graduate Engineering Trainee @ EASI Engineering Services Pvt. Ltd.
LUV KUMAR
Graduate Engineering Trainee @ Satyam-Venture Engineering Services Pvt Ltd
ADARSH BL
Graduate Engineering Trainee @ EASI Engineering Services Pvt. Ltd.
CERTIFICATION
- Top 5% of the class will get a merit certificate
- Course completion certificates will be provided to all students
- Build a professional portfolio
- Automatically link your technical projects
- E-verified profile that can be shared on LinkedIn
PREVIEW CERTIFICATESKILL LYNC WORKS TO GET YOU A JOB
Shubham verma
Primavera Engineer @ GKC Consultants
sujan Gudigar h
Design Engineer @ Brain Capital Technology
Nisha Pawar
Analyst Programmer @ Xceedance
Amal Jacob
CAE Engineer @ Alten
Atharva Kulkarni
FEA Engineer @ Cummins Emission Solutions Inc.
kasi srinivasarao .
CAE Engineer @ Sphinx Worldbiz Limited
Srinivasa Nataraja
BIM Modeller @ Architude
Nandakishore Singh
Design Trainee @ Dopag India Pvt Ltd
FAQ
1WHO ARE THE INSTRUCTORS AND WHAT IS THE LEARNING PROCESS?
2ARE THERE ANY PREREQUISITES FOR THIS COURSE?
3WHAT KIND OF SUPPORT I CAN EXPECT? WHAT IF I HAVE DOUBTS?
4HOW IS THIS DIFFERENT FROM WHAT I LEARNT IN COLLEGE?
In your under graduation, you would have learnt the Mathematical concepts to a certain extent and a few related theoretical concepts on Data Science, but here you would be applying the concepts being covered in our courses in real-time & industry relevant projects.(Data sets would be similar to what is being used in the industry)
5WHAT ADVANTAGES WILL I GAIN BY TAKING THIS COURSE?
This course will cover topics and projects to give you extensive knowledge and gain hands-on experiences of what you can look forward to doing in the industry as a Data Analyst/Scientist.
6WILL THE SOFTWARE BE PROVIDED?
Yes, Software will be provided.
