Full Stack Data Science Course
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The Full stack data science course is about processing the data, analysing the data and also visualizing the data to deploy and maintain the solutions. It covers all aspects of data science from start to end. There are various components available for different types of projects which are considered as a stack in UV Technocrats.
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What is the Full Stack Data Science course
The Full stack data science course is about processing the data, analysing the data and also visualizing the data to deploy and maintain the solutions. It covers all aspects of data science from start to end. There are various components available for different types of projects which are considered as a stack in UV Technocrats.
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Key Features
Hybrid Batches : Online/Offline
Industry Experienced, Faculty
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Key Features
Flexible Batches: Weekend/Regular
Hybrided Batches: Online/Offline
Industry Oriented Syllabus
Practical Learning
Module wise Assignment & Training
Industry Experienced, Faculty
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Small Batch Size
One to one training
Free Study Materials
Full Stack Data Science Course
Why UV Technocrats for Full Stack Data Science course
We are Providing free demo classes.
Online certification courses in UV technocrats can vary depending on the specific Certification pursued.
Prerequisites in Full Stack Data Science Course
1.Basics of SQL:
One should be familiar with basics concepts of database and through working fundamentals. This includes all the queries and database constraints and concepts. Relational database management system is also included in the basic concepts in data science
2. Basics concepts of RDBMS
One should be updated and familiar with all types of keys in the Relational database management system data science course
3.Linear calculus:
Includes Linear algebra probability calculus, problem solving
ability to compete with the algorithm with the base of
Mathematics.
4. Data compression:
Data handling: includes various versions according to the data requirement
mining, data, visualizing in data science Course in UV Technocrats
5. Data Visualization
Data Visualization helps in creating fruitful techniques and representing data efficiently improves quality of the operation and visual representations. Large amount of complex data is represented using statistical and dynamic structures.
6.Version configuration
It tracks and manages the entities which are required for the configuration of the latest version.
7.Knowledge regarding domain
Domain knowledge is compulsory in specific environments essential to collaborate with the work in order to construct a knowledge base system.
Skills & Technologies covered in Full Stack Data Science course
1.Data compression:
Graph Processing: includes techniques for image processing, data handling, data processing in Full Stack Data Science Course
2.Communication skills:
Creative ability: Ability to study variety of problems and develop manageable solutions. I in UV technocrats
3.APIs of cloud Data and AI:
For Deploying and processing the data for various purposes different types of cloud platforms are used which includes Microsoft word, Google docs, Amazon web services which are beneficial to interact.
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Soft skills & Personality development
Personalised Guidence and Support
Placement Counselling
Resume Preparation
Mock interviews
Aptitude Test
Schedule Interviews
Soft Skill & Personality Development
Industrial Sessions
Eligibility For Full Stack Data science courses
1.Educational Status:
An equivalent bachelor’s degree is necessary for this course in mathematics, data science, calculus or any relevant area.
2.Work Experience needed:
Some of the programs require knowledge and experience in related field but are not mandatory In online training course
Some research papers, internship programs, online projects may be considered as a strong point of the candidate for full stack data science course.
3.Technical Needs:
Access to the internet is required for the online data science training purpose. Also, setup for hardware and software specification is required
What are the job profiles after the Full Stack Data Science Certification course from UV Technocrats?
● Machine Learning Engineer
● Data Engineer
● Big Data Engineer
● AI developer
● Analyst Consultant
● Full stack Research Scientist
● Research Scientist
● Data Scientist
Proficiency After Training:
1.Deep Learning and AI:
Deep Learning is a basic course and is of high demand nowadays because of its unique pattern and is in high demand.
It consists of a basic structural program, algorithm and workflow. This course is unique and highly beneficial for beginners.
2.Big Data Technologies:
Hadoop and Spark are the big data technologies in which we gain knowledge after training course
3. Database Systems and SQL database:
All the database concepts are cleared after this course which includes queries, RDBMS concepts and the constraints.
4.Web Development:
Proficient in building web applications for data visualization and interaction.
Gain knowledge in building web applications and developing skills using frameworks for frontend and backend developers.
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Yes, you’ll get a certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.
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1.What is a Full Stack Data Science course?
2.Who will applicable for Full Stack Data Science Course?
3.What are the skillsets are required for Full Stack Data Science course?
4.What subjects are in a Full Stack Data Science Certification course training?
5.What knowledge will I pursue after the Full Stack Data Science certification course?
6. Is the Full Stack Data Science course online or offline?
It can be either hybrid, online class or offline concepts.
7.What is the duration of the Full Stack Data Science course?
It can take a week or as well as a month also to complete the Online Full Stack
Data Science course.
8. Is job guarantee after the completion of Full Stack Data Science Course?
9. What assignments will I cover in the Full Stack Data Science course?
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