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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
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Data Science with Python Certification Course Curriculam
Trainers Profile
Pre-requisites
- Educational.
- Technical. Mathematical. Programming. SQL. Data Science. Machine Learning. Working with Unstructured Data.
- Non-technical. Business Acumen. Management Principles. Communication. Data Intuition.
Syllabus of Data Science with Python Certification in Melbourne Download syllabus
- 1. The World Wide Web
- 2. HTML Web Servers
- 3. HTTP
- 4. Dynamic Web Pages
- 5. CGI
- 6. Data Science with Python Web Technologies
- 7. Servlets
- 8. JSP
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- 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
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- 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
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- 1. HTML Forms
- 2. Reading CGI Parameters
- 3. JSPs and Data Science with Python Classes
- 4. Error Handling
- 5. Session Management
- 6. The Session API
- 7. Cookies and JSP
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- 1. Separating Presentation and Business Logic
- 2. JSP Actions
- 3. Data Science with PythonBeans
- 4. Working with Properties and Using Form Parameters with Beans
- 5. Objects and Scopes
- 6. Working with Vectors
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- 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
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- 1. Web Components
- 2. Forwarding
- 3. Inclusion
- 4. Passing Parameters
- 5. Custom Tag Libraries
- 6. Tag Library Architecture
- 7. Implementing in Data Science with Python or JSP
- 8. Threads
- 9. Strategies for Thread Safety
- 10. XML and JSP
- 11. JSP for Web Service
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- 1. The JSP Standard Tag Library
- 2. JSTL Namespaces
- 3. Going Scriptless
- 4. Object Instantiation
- 5. Sharing Objects
- 6. Decomposition
- 7. Parameterization
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 1. Managing Client State Sessions
- 2. Session Implementations
- 3. HttpSession Session
- 4. Attributes
- 5. Session Events
- 6. Invalidating Sessions
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- 1. JDBC
- 2. JDBC Drivers
- 3. Using JDBC in a Servlet
- 4. Data Access Objects
- 5. Threading Issues
- 6. Transactions
- 7. Connection Pooling
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- 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
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- 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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Data Science with Python Training Objectives
- Yes, it is worth learning as it is developing technology and there is a huge necessity for Data Analyst and Data Scientist in the current mechanical world.
- Data Scientists are Highly Prestigious
- Abundance of Positions
- Data Science is Versatile
- A Highly Paid Career
- Data Science Makes Products Smarter
- All of our highly qualified Data Science trainers are industry experts with at least 10-12 years of relevant teaching experience.
- Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.
- Data Science is a field not a specific position (sort of). 6 months of dedicated work can definitely land you (at least) an entry level job in the field.
- It's great to know that there are a number of courses out there that supported your learning in Data Science.
- Certified Analytics Professional (CAP)
- Cloudera Certified Associate (CCA) Data Analyst
- Cloudera Certified Professional (CCP) Data Engineer
- Data Science Council of America (DASCA) Senior Data Scientist (SDS)
- Data Science Council of America (DASCA) Principle Data Scientist (PDS)
- The Scope of Data science is getting more popular in recent times.
- Data scientists are professionals who can simplify big data through coding and algorithms and turn it into a problem-solving solution for the business.
- To best understand the Python Data Science course, it is recommended that you begin with the courses including, Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science. These courses are offered as free companions with this program.
- Demand for data scientists appears to have outstripped the supply of qualified applicants.
- Data science jobs had increased steadily as a share of Australian job postings and then accelerated throughout.
- Skilled data science are some of the most sought-after professionals in the world.
- The demand is so strong, and the supply of people who can truly do this job well is so limited, data science command huge salaries and excellent perks, even at the entry level.
- The goal of data science is to construct the means for extracting business-focused insights from data.
- This requires an understanding of how value and information flows in a business, and the ability to use that understanding to identify business opportunities.
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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 with Python Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Data Science with Python 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 with Python Training course. It helps you to prepare for the actual Data Science with Python Certification exam. You can try this free Data Science with Python 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 with Python 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 with Python Developers.
Recently Placed Students
My sincere appreciation & gratitude to the Training & Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
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Software Testing, CapgeminiData Science with Python Course FAQ's
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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 with Python batch to 5 or 6 members
Learning Data Science with Python 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 with Python. Mastering Data Science with Python 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 with Python Developer salary in India is ₹4,43,568 per annum.
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