Data Science Training Objectives
- A Data scientist is the top ranking professional in any analytics organization. Data Scientists first in the 25 Best Jobs. In today’s market, Data Scientists are scarce and in demand.
- Data Scientist, required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.
- Data Scientist course in Sydney co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised, and unsupervised learning and more.
- The program concludes with a capstone project designed to reinforce the learning by building a real industry product encompassing all the key aspects learned throughout the program. The skills focused on in this program will help prepare you for the role of a Data Scientist.
- Gain an in-depth understanding of data structure and data manipulation
- Understand and use linear and non-linear regression models and classification techniques for data analysis
- Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
- Learn to analyze data using Tableau and become proficient in building interactive dashboards
- E-Commerce
- Telecom
- Workforce Analytics
- Retail
- Healthcare
- Insurance
- Banking
- Stock Market
- LearnoVita has been actively involved in 100% Job Placement Assistance as a value-added service in the Technical Program. With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement and Track Record.
- Market entry to various countries and jobs in major corporate.
- Immediate job opportunities after Completion of training.
- Active Coordination with students from the stage of preparing a professional CV/Resume to attend Interviews and securing a Job.
- Preliminary Preparation ensures that our students are able to perform confidently in Interviews even it was their First Interview.
- IT Professionals
- Analytics Managers
- Business Analysts
- Banking and Finance Professionals
- Marketing Managers
- Supply Chain Network Managers
- Basic knowledge of statistics
- Basic understanding of any programming language
- Data Analyst
- Data Scientist
- Analytics Manager/Lead
- Machine Learning Engineer
- Statistical Programming Specialist
- Instructor-Led online training is an interactive mode of training where participants and trainer will log in at the same time and live sessions will be done virtually.
- These sessions will provide scope for active interaction between you and the trainer.
- In addition to the training hours, we recommend spending about 14 hours every day, for the duration of course.
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Top Companies Placement
- Designation
-
Annual SalaryHiring Companies
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
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
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 Sydney 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. 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
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Industry Projects
Career Support
Our Hiring Partner
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Exam & Certification
- Participate and Complete One batch of Data Science Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Data Science Certification course
- Successful completion and evaluation of any one of the given projects
- 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.

Our Student Successful Story
Data Science Course FAQ's
- 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
- 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.
- 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.

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