Data Science with Python Training in London
This interactive and comprehensive course aims to help you to understand the basic concepts of data science, including explorative data science, statistic, hypotheses, regression classification methods, data visualization, and machine visualization. This course includes a comprehensive Python programming language. Experts coaching and numerous practical exercises will ensure that you are ready for the industry by the end of this workshop.
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6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
Course Duration
HrsLive Project
ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
Professionals Trained
Batches every month
Placed Students
Corporate Served
Data Science with Python Training Objectives
- Python Data Science Tutorials. “Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.
- There are a lot of estimates for how long takes to learn Python. For data science specifically, estimates a range from three months to a year of consistent practice.
- In short, understanding Python is one of the valuable skills needed for a data science career. Though it hasn't always been, Python is the programming language of choice for data science. In 2018, 66% of data scientists reported using Python daily, making it the number one language for analytics professionals.
Programming in Python or R (either works)
Fluency with popular packages and workflows for data science tasks in your language of choice. ...
Writing SQL queries.
Statistics knowledge and methods.
Basic machine learning and modeling skills.
- Gain Qualifications. First off, you'll need some technical qualifications. The most common route is to study for a bachelors or master's degree. ... Develop Skills and Knowledge. As well as qualifications, you'll need to be able to demonstrate specific skills and specialist knowledge. ... Gain Work Experience.
- Python salary in India alone promises of 10.2 lakhs INR. The combination of knowledge of Big Data and Data Science increases a Data Analyst's salary by 26% compared to being skilled in only one of the areas. SAS users are paid between INR 9.1-10.8 lakhs versus SPSS experts earning INR 7.3 lakhs.
- Data science has been a game-changer across every industry. Moreover, in India, the data science jobs are expected to see 1.5 lakh new openings in 2020, which is an increase of about 62% as compared to 2019, according to a report by Great Learning
- Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists.
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 with Python developers
- Understand the difference between Python basic data types Know when to use different python collections Implement python functions Understand control flow constructs in Python Handle errors via exception handling constructs Be able to quantitatively define an answerable, actionable question Import both structured and unstructured data into Python Parse unstructured data into structured formats Understand the differences between NumPy arrays and pandas dataframes Understand where Python fits in the Python/Hadoop/Spark ecosystem Simulate data through random number generation Understand mechanisms for missing data and analytic implications Explore and Clean Data Create compelling graphics to reveal analytic results Reshape and merge data to prepare for advanced analytics Find test for group differences using inferential statistics Implement linear regression from a frequentist perspective Understand non-linear terms, confounding, and interaction in linear regression Extend to logistic regression to model binary outcomes Understand the difference between machine learning and frequentist approaches to statistics Implement classification and regression models using machine learning Score new datasets, evaluate model fit, and quantify variable importance
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Top Skills You Will Gain
- R Programmming
- Python, SAS
- Artifical Intelligence
- Deep Learning, CART
- Machine Learning, Linear Algebra
- Statistics, Naive Bayes
- Programming, Neural Networks
- Data Mining, Visualization
Online Classroom Batches Preferred
Monday (Mon - Fri)
05-May-2025
08:00 AM (IST)
Wednesday (Mon - Fri)
07-May-2025
08:00 AM (IST)
Saturday (Sat - Sun)
10-May-2025
11:00 AM (IST)
Saturday (Sat - Sun)
11-May-2025
11:00 AM (IST)
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10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Data Science with Python Course Curriculam
Trainers Profile
Trainers are certified professionals with 13+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Data Science with Python are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Syllabus of Data Science with Python Course in London 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. 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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Phone (For Voice Call):
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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.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
It was a great learning experience. The trainer had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank Training & Placement Cell for the constant support
Vinoth P
UI Developer, TCS
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills.
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers. It is dream come true, being an IT engineer
Pranav Srinivas
Software Testing, Capgemini
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.
Prasanna
SAP Admin, HCL
I am very thankful to the faculties of LearnoVita as they are very much supportive, helpful, and the Placement Cell which is also doing a great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
Data Science with Python 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 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.
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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