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Data Science Certification Training in Singapore

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100% Job Guarantee | Minimum CTC: ₹ 5 LPA

Data Scientist is a person who uses different techniques and instruments to extract meaningful data. They handle enormous quantities of data and forecast using mathematical concepts. You must devise and write questions and obtain raw data facts. Using various tools to analyze prediction we learn to collect, explore, model, and validate data.

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  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students

Online Classroom Batches Preferred

11-Nov-2024
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

13-Nov-2024
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

16-Nov-2024
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

17-Nov-2024
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Data Science Online Training Overview

This Data scientist course enables you to expert skills, like data analytics, R programming, applied mathematics computing, Machine Learning algorithms, k-means clustering, and more. Data Science Courses square measure the best and most comprehensive thanks to kickstarting a career within the field of analyzing, processing, and churning helpful data patterns for the organizations that play with large data volume. Data Science courses within the market, covering the entire data science lifecycle ideas from data assortment, data Extraction, data cleansing, data Exploration, data transformation, Feature Engineering, data integration, data processing, building Prediction models, data image, and deploying the answer to the client.

Data Science online Training will:

  • Learn the Data Science Certification coaching course offered and obtain a legitimate Certificate to spice up your Career.
  • This Course is intended to teach you Statistics, chance, Machine Learning, Deep Learning, mathematics for resolution issues, prophetical Analysis mistreatment R, an image with Tabletops & stand out Pivot Charts, data deposit ETL ideas like Mapping, VLOOKUP, massive data analysis, and data processing with live comes.
  • Learn SQL, R & Python active to manage, manipulate, cleanse and analyze data.
  • Learn what data science is, the assorted activities of a data scientist’s job, and methodology to suppose and work sort of knowledge person.
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Top Skills You Will Gain
  • R Programmming, Python, SAS
  • Artifical Intelligence
  • Deep Learning
  • Machine Learning
  • Statistics, Naive Bayes
  • Linear Algebra, CART
  • Programming, Neural Networks
  • Data Mining, Visualization

Data Science Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Data Science Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

A business intelligence analyst analyzes the managed data to maximize the business efficiency to generating more profit. There is more technical then precise, requiring more knowledge of popular machines. They are the originator, designer, and manager of a large set of database and rewarded with substantial pay raises shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 3.24L
    Min
  • 6.5L
    Average
  • 13.5L
    Max
  • 4.50L
    Min
  • 9.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 7.5L
    Average
  • 14.5L
    Max
  • 3.24L
    Min
  • 8.5L
    Average
  • 12.5L
    Max

Training Options

One to One Training

₹23000₹ 18000

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt

Online Training

₹21000₹ 16000

  • preferred
  • Live demonstration of features and practicals.
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
12500 ₹4500

Data Science Certification Course Curriculam

Trainers Profile

Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Data Science Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

It is not always necessary for professionals to have a data science background wheeling beforehand.

You might be a student or a fresher who is developing an interest in the data science field and planning to get individual experience in the sector. Or you might be a professional who is already established in one industry but wants to enter the data science course because of the love for data or the rising interest and demand the profile offers.

Syllabus of Data Science Certification Course in Singapore Download syllabus

  • 1. The World Wide Web
  • 2. HTML Web Servers
  • 3. HTTP
  • 4. Dynamic Web Pages
  • 5. CGI
  • 6. Data Science Web Technologies
  • 7. Servlets
  • 8. JSP
  • 1. JSP Containers
  • 2. Servlet Architecture
  • 3. Page Translation
  • 4. Types of JSP
  • 5. Content Directives
  • 6. Content Type
  • 7. Buffering
  • 8. Scripting Elements
  • 9. JSP Expressions
  • 10. Standard Actions
  • 11. Custom Actions and JSTL
  • 12. Objects and Scopes
  • 13. Implicit Objects
  • 14. JSP Lifecycle
  • 1. Translation of Template
  • 2. Content Scriptlets
  • 3. Expressions Declarations
  • 4. Dos and Don'ts
  • 5. Implicit Objects for Scriptlets
  • 6. The request Object
  • 7. The response Object
  • 8. The out Object
  • 1. HTML Forms
  • 2. Reading CGI Parameters
  • 3. JSPs and Data Science Classes
  • 4. Error Handling
  • 5. Session Management
  • 6. The Session API
  • 7. Cookies and JSP
  • 1. Separating Presentation and Business Logic
  • 2. JSP Actions
  • 3. Data ScienceBeans
  • 4. Working with Properties and Using Form Parameters with Beans
  • 5. Objects and Scopes
  • 6. Working with Vectors
  • 1. Going Scriptless
  • 2. The JSP Expression Language EL
  • 3. Syntax Type Coercion
  • 4. Error Handling
  • 5. Implicit Objects for EL
  • 6. The JSP Standard Tag Library
  • 7. Role of JSTL
  • 8. The Core Actions
  • 9. Using Beans with JSTL
  • 10. The Formatting Actions
  • 11. Scripts vs. EL/JSTL
  • 1. Web Components
  • 2. Forwarding
  • 3. Inclusion
  • 4. Passing Parameters
  • 5. Custom Tag Libraries
  • 6. Tag Library Architecture
  • 7. Implementing in Data Science or JSP
  • 8. Threads
  • 9. Strategies for Thread Safety
  • 10. XML and JSP
  • 11. JSP for Web Service
  • 1. The JSP Standard Tag Library
  • 2. JSTL Namespaces
  • 3. Going Scriptless
  • 4. Object Instantiation
  • 5. Sharing Objects
  • 6. Decomposition
  • 7. Parameterization
  • 1. The JSTL Core Library
  • 2. Gotchas
  • 3. Conditional Processing
  • 4. Iterative Processing
  • 5. Iterating Over Maps
  • 6. Tokenizing Strings
  • 7. Catching Exceptions
  • 8. Resource Access
  • 1. The JSTL Formatting Library
  • 2. Locales
  • 3. Determining Locale Time Zones
  • 4. Setting Locale and Time Zone
  • 5. Formatting and Parsing Dates
  • 6. Formatting and Parsing Numbers
  • 7. Internationalization
  • 8. Working with Resource Bundles
  • 9. Supporting Multiple Languages
  • 1. The JSTL SQL Library
  • 2. Using Relational Data
  • 3. Connecting with a DriverManager
  • 4. Connecting via a DataSource
  • 5. The Result Interface
  • 6. Making a Query
  • 7. Inserts, Updates and Deletes
  • . Parameterized SQL Transactions
  • 1. The JSTL XML Library
  • 2. Using XML
  • 3. XML Data Sources
  • 4. Parsing and Addressing
  • 5. Using XPath in JSTL
  • 6. XPath vs. EL
  • 7. XPath Context
  • 8. Implicit Objects for XPath
  • 9. Conditional Processing
  • 10. Iterative Processing
  • 11. Changing XPath Context
  • 12. Working with XML Namespaces
  • 13. Using XSLT Chaining Transformations
  • 14. Reading XML from the Request Body
  • 15. XML and SOAP Web Services
    • 1. Architecture Servlets
    • 2. Architecture Servlet and HttpServlet
    • 3. Request and Response
    • 4. Reading Request Parameters
    • 5. Producing an HTML Response
    • 6. Redirecting the Web Server
    • 7. Deployment Descriptors
    • 8. Servlets Life Cycle
    • 9. Relationship to the Container
    • 1. Building an HTML Interface
    • 2. HTML Forms
    • 3. Handling Form
    • 4. Input Application Architecture
    • 5. Single-Servlet Model
    • 6. Multiple-Servlet Model
    • 7. Routing Servlet Model
    • . Template Parsers
    • 1. Managing Client State Sessions
    • 2. Session Implementations
    • 3. HttpSession Session
    • 4. Attributes
    • 5. Session Events
    • 6. Invalidating Sessions
    • 1. JDBC
    • 2. JDBC Drivers
    • 3. Using JDBC in a Servlet
    • 4. Data Access Objects
    • 5. Threading Issues
    • 6. Transactions
    • 7. Connection Pooling
    • 1. The Need for Configuration
    • 2. Initialization Parameters
    • 3. Properties
    • 4. Files
    • 5. JNDI and the Component Environment
    • 6. JDBC Data Sources
    • 7. Working with XML Data
      • 1. Servlet Filters
      • 2. Uses for Filters
      • 3. Building a Filter
      • 4. Filter Configuration and Context Filter Chains
      • 5. Deploying Filters
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    Industry Projects

    Project 1
    Payment Billing

    An Institute having different branches at different locations, want to control and maintain the accountant salary and students personal and payment details.

    Project 2
    Connect Globe

    It provides a common platform to share the common people experiences, informations and harrashments all over the world and people can discuss on any topic created by only registered user.

    Project 3
    Employee Management System (EMS)

    Create a new system to automate the regulation creation and closure process.

    Mock Interviews

    • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
    • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

    How Learnovita Mock Interview Works?

    Data Science Training Objectives

    • Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.
    • By extrapolating and sharing these insights, data scientists help organizations to solve vexing problems. Combining computer science, modeling, statistics, analytics, and math skills—along with sound business sense—data scientists uncover the answers to major questions that help organizations make objective decisions.
    • As a highly practical field, data science can not be mastered with MOOCs and books alone. If you're looking to build a career in data science, you need to demonstrate that you can do data science, not just know it. Hackathons and competitions can help you achieve that.
    A Data Science course is a training program of around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field.
    • Learn the basics of programming with Python. Learn basic Statistics and Mathematics. Learn Python for Data Analysis. Learn Machine Learning. Practice with projects.
    • Despite a recent influx of early-career professionals, the median starting salary for a data scientist remains high at $95,000. Mid-level data scientist salary. The median salary for a mid-level data scientist is $130,000. If this data scientist is also in a managerial role, the median salary rises to $195,000..
    • Data science is also a very promising field with lots of high paying job opportunities. Data Science, Machine Learning, and Analytics are considered to be among the hottest career paths. ... By learning the foundations of data science, you can increase your odds of getting a job in the data science field..
    • Data science jobs are the talk of the town! A data science internship is one sure-fire way to understand the domain as well as to get a first-hand experience in this field. ... Many final year graduate students look forward to a career in this new-age field.
    The training is perfect for the below job positions:
    • Software developers
    • Web designers
    • Programming enthusiasts
    • Engineering graduates
    • Students who all want to become Data Science developers
    • Yes, a BCOM graduate can do data science. You just need to have a minimum of a UG degree in any specialization to become a Data Scientist. Having a UG degree is a requirement for most of the entry-level Data Science jobs.
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    Exam & Certification

    At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
    • Participate and Complete One batch of Data Science Training Course
    • Successful completion and evaluation of any one of the given projects
    Online Self-learning:
    • Complete 85% of the Data Science Certification course
    • Successful completion and evaluation of any one of the given projects
    Honestly Yes, We Provide 1 Set of Practice test as part of Your Data Science Training course. It helps you to prepare for the actual Data Science Certification exam. You can try this free Data Science Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
    These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Data Science Certification Path.
    • Oracle Certified Associate (OCA)
    • Oracle Certified Professional (OCP)
    • Oracle Certified Expert (OCE)
    • Oracle Certified Master (OCM)
    • Learn About the Certification Paths.
    • Write Code Daily This will help you develop Coding Reading and Writing ability.
    • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
    • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
    • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
    Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Data Science Developers.

    Recently Placed Students

    Data Science Course FAQ's

    LearnoVita Offers the Best Discount Price for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
    Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
    All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
    The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
    • LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
    • On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
    • 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
    • LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
    • More than 5400+ students placed in last year in India & Globally.
    • LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    After Your Course Completion You will Receive
    • LearnoVita Certification is Accredited by all major Global Companies around the World.
    • LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS.
    • Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
    • LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
    • All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
    • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
    • After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
    At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
    LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
    • We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
    • View the class presentation and recordings that are available for online viewing.
    • You can attend the missed session, in any other live batch.
    Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
    Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
    We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Data Science batch to 5 or 6 members
    Learning Data Science can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Data Science. Mastering Data Science can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
    The Average Data Science Developer salary in India is ₹4,43,568 per annum.
    You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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