Data Science Training/Course by Experts

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Our Training Process

Data Science - Syllabus, Fees & Duration

MODULE 1

  • The Data Science Process
  • Apply the CRISP-DM process to business applications
  • Wrangle, explore, and analyze a dataset
  • Apply machine learning for prediction
  • Apply statistics for descriptive and inferential understanding
  • Draw conclusions that motivate others to act on your results

MODULE 2

  • Communicating with Stakeholders
  • Implement best practices in sharing your code and written summaries
  • Learn what makes a great data science blog
  • Learn how to create your ideas with the data science community

MODULE 3

  • Software Engineering Practices
  • Write clean, modular, and well-documented code
  • Refactor code for efficiency
  • Create unit tests to test programs
  • Write useful programs in multiple scripts
  • Track actions and results of processes with logging
  • Conduct and receive code reviews

MODULE 4

  • Object Oriented Programming
  • Understand when to use object oriented programming
  • Build and use classes
  • Understand magic methods
  • Write programs that include multiple classes, and follow good code structure
  • Learn how large, modular Python packages, such as pandas and scikit-learn, use object oriented programming
  • Portfolio Exercise: Build your own Python package

MODULE 5

  • Web Development
  • Learn about the components of a web app
  • Build a web application that uses Flask, Plotly, and the Bootstrap framework
  • Portfolio Exercise: Build a data dashboard using a dataset of your choice and deploy it to a web application

MODULE 6

  • ETL Pipelines
  • Understand what ETL pipelines are
  • Access and combine data from CSV, JSON, logs, APIs, and databases
  • Standardize encodings and columns
  • Normalize data and create dummy variables
  • Handle outliers, missing values, and duplicated data
  • Engineer new features by running calculations • Build a SQLite database to store cleaned data

MODULE 7

  • Natural Language Processing
  • Prepare text data for analysis with tokenization, lemmatization, and removing stop words
  • Use scikit-learn to transform and vectorize text data
  • Build features with bag of words and tf-idf
  • Extract features with tools such as named entity recognition and part of speech tagging
  • Build an NLP model to perform sentiment analysis

MODULE 8

  • Machine Learning Pipelines
  • Understand the advantages of using machine learning pipelines to streamline the data preparation and modeling process
  • Chain data transformations and an estimator with scikit- learn’s Pipeline
  • Use feature unions to perform steps in parallel and create more complex workflows
  • Grid search over pipeline to optimize parameters for entire workflow
  • Complete a case study to build a full machine learning pipeline that prepares data and creates a model for a dataset

MODULE 9

  • Experiment Design
  • Understand how to set up an experiment, and the ideas associated with experiments vs. observational studies
  • Defining control and test conditions
  • Choosing control and testing groups

MODULE 10

  • Statistical Concerns of Experimentation
  • Applications of statistics in the real world
  • Establishing key metrics
  • SMART experiments: Specific, Measurable, Actionable, Realistic, Timely

MODULE 11

  • A/B Testing
  • How it works and its limitations
  • Sources of Bias: Novelty and Recency Effects
  • Multiple Comparison Techniques (FDR, Bonferroni, Tukey)
  • Portfolio Exercise: Using a technical screener from Starbucks to analyze the results of an experiment and write up your findings

MODULE 12

  • Introduction to Recommendation Engines
  • Distinguish between common techniques for creating recommendation engines including knowledge based, content based, and collaborative filtering based methods.
  • Implement each of these techniques in python.
  • List business goals associated with recommendation engines, and be able to recognize which of these goals are most easily met with existing recommendation techniques.

MODULE 13

  • Matrix Factorization for Recommendations
  • Understand the pitfalls of traditional methods and pitfalls of measuring the influence of recommendation engines under traditional regression and classification techniques.
  • Create recommendation engines using matrix factorization and FunkSVD
  • Interpret the results of matrix factorization to better understand latent features of customer data
  • Determine common pitfalls of recommendation engines like the cold start problem and difficulties associated with usual tactics for assessing the effectiveness of recommendation engines using usual techniques, and potential solutions.

Download Syllabus - Data Science
Course Fees
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Data Science Jobs in Jurong East

Enjoy the demand

Find jobs related to Data Science in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Jurong East, chennai and europe countries. You can find many jobs for freshers related to the job positions in Jurong East.

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Data Storyteller
  • Machine Learning Scientist
  • Machine Learning Engineer
  • Business Intelligence Developer
  • Database Administrator
  • ML Engineer
  • Computer Vision Engineer

Data Science Internship/Course Details

Data Science internship jobs in Jurong East
Data Science You may learn all of the skills and talents required to become a data scientist by enrolling in the top data science online courses in Jurong East. Creative thinking, problem-solving skills, curiosity, and a drive to learn about and investigate industry trends and development, as well as teamwork, are among the soft skills required by data scientists. Exercises, tasks, and projects that are completed in real-time 24 hours a day, 7 days a week, A large network of like-minded newbies, an industry-recognized intellipaat credential, and individualized employment support Several data scientist responsibilities are listed below. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. . There are numerous reasons why you should take this course. The top Data Science course online for professionals who wish to expand their knowledge base and start a career in this industry is NESTSOFT in Jurong East. Today's Data Scientists must possess a wide range of abilities, including the ability to work with large amounts of data, parse that data, and translate it into an easily comprehensible format from which business insights may be drawn. Identify and collect data from data sources. To find trends and patterns, use algorithms and modules.

List of All Courses & Internship by TechnoMaster

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The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.

List of Training Institutes / Companies in Jurong East

  • ScribbleAcademy | Location details: 351 Jurong East Street 31, #01-77, Singapore 650150 | Classification: Training provider, Training provider | Visit Online: scribble.com.sg | Contact Number (Helpline): +65 8836 3757
  • StalfordLearningCentre@JurongEast,Westgate | Location details: 3 Gateway Dr, #04-19/20 Westgate, Singapore 608532 | Classification: Education center, Education center | Visit Online: stalford.edu.sg | Contact Number (Helpline): +65 6686 3233
  • MulberryLearning@JurongEast | Location details: 31 International Business Park, #01-04 & 05 Creative Resource, Singapore 609921 | Classification: Kindergarten, Kindergarten | Visit Online: mulberrylearning.com | Contact Number (Helpline): +65 6653 8082
  • JurongPrimarySchool | Location details: 320 Jurong East Street 32, Singapore 609476 | Classification: Primary school, Primary school | Visit Online: jurongpri.moe.edu.sg | Contact Number (Helpline): +65 6561 8837
  • AbrakadoodleArtStudio@JurongEast | Location details: 3 Gateway Drive, Westgate 04-39, Singapore 608532 | Classification: Art school, Art school | Visit Online: abrakadoodle.com.sg | Contact Number (Helpline): +65 6465 9205
  • StJohnSingapore(JurongCentre) | Location details: Jurong East Street 21, #01-357 Block 209, Singapore 600209 | Classification: Charity, Charity | Visit Online: stjohn.org.sg | Contact Number (Helpline): +65 6566 1903
  • JurongvilleSecondarySchool | Location details: 202 Jurong East Ave 1, Singapore 609790 | Classification: Middle school, Middle school | Visit Online: jurongvillesec.moe.edu.sg | Contact Number (Helpline): +65 6563 8704
  • NASCANS@JurongEast | Location details: 135 Jurong Gateway Rd, #04-339, Singapore 600135 | Classification: After school program, After school program | Visit Online: nascans.com | Contact Number (Helpline): +65 6653 8008
  • DevanNairInstituteForEmploymentAndEmployability | Location details: 80 Jurong East Street 21, Singapore 609607 | Classification: Employment center, Employment center | Visit Online: e2i.com.sg | Contact Number (Helpline): +65 6474 0606
  • AxcellTuitionCentre,JurongEast | Location details: 237 Jurong East Street 21, #01-400, Singapore 600237 | Classification: Tutoring service, Tutoring service | Visit Online: axcell.com.sg | Contact Number (Helpline): +65 6425 5284
  • MindsetLearningHub | Location details: 257 Jurong East St 24, #01-405, Singapore 600257 | Classification: School, School | Visit Online: samhealth.org.sg | Contact Number (Helpline): +65 6665 9220
  • HMIInstituteOfHealthSciencesPteLtd | Location details: 80 Jurong East Street 21, #06-03 Devan Nair Institute for Employment and Employability, Singapore 609607 | Classification: Training provider, Training provider | Visit Online: hmi-ihs.com | Contact Number (Helpline): +65 6253 3818
  • MiroArtStudio-JCubeBranch | Location details: 2 Jurong East Central 1, #03-01 JCube, Singapore 609731 | Classification: Art school, Art school | Visit Online: miroart.com.sg | Contact Number (Helpline): +65 9072 5519
  • MasjidAlMukminin | Location details: 271 Jurong East Street 21, Singapore 609603 | Classification: Mosque, Mosque | Visit Online: almukminin.sg | Contact Number (Helpline): +65 6567 7777
  • AvantusTraining | Location details: 80 Jurong East Street 21, #04-04 Devan Nair Institute, Singapore 609607 | Classification: Training centre, Training centre | Visit Online: avantustraining.com | Contact Number (Helpline): +65 6661 0888
  • WavelinkMaritimeInstitutePteLtd | Location details: 80 Jurong East Street 21, #06-04 Devan Nair Institute, Singapore 609607 | Classification: Training centre, Training centre | Visit Online: wavelinklms.com.sg | Contact Number (Helpline): +65 6796 9657
 courses in Jurong East
While nearly nothing is known of the Orang Sembulun piecemeal from their name, they may have been related to the Orang Selat, given their propinquity. Before the development of Jurong in the 1960s, Jurong Road was a two- lane expressway, as Francis Mane(b. Mangrove timbers, Sungei Jurong, with mangroves on the far bank. still, community leader Ng Lee Kar(b. Courtesy of Singapore Land Authority 4 territories for a different range of wildlife and important for natural littoral protection, were gradationally cleared for wood, to make watercolor, timber for kelongs( fishing platforms) and boat structure. There was also the fabled area of Tanjong Balai, moment part of Jurong Port but preliminarily a millionaire’s estate, a asset and guerrilla training camp, where the Japanese military tried to make a submarine base and the point of one of the first beauty contests in Singapore and Malaysia. The artificial story too, presents a fascinating oil of social histories. 2 Early history of Jurong literal extent of Jurong L ike a number of other places in Singapore, the boundaries of Jurong have shifted with time, land use and power. our heritage Courtesy of Great Britain, War Office, National Library of Australia, G080401936 His Jurong also, gauged Pandan and Peng Kang in the south and reached Tuas in the west. ” Jurong and its girding areas in a 1911 chart of Singapore.

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