Data Science Training 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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20+
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25+

Data Science Jobs in Singapore

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 Singapore, chennai and europe countries. You can find many jobs for freshers related to the job positions in Singapore.

  • 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 Singapore
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 Singapore. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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. The Data Science Process, Communicating with Stakeholders, Software Engineering Practices, Object-Oriented Programming, Web Development, ETL Pipelines, Natural Language Processing, Machine Learning Pipelines, Experiment Design, Statistical Concerns of Experimentation, A/B Testing, and Introduction to Recommendation Engines are some of the topics covered in. . There are numerous reasons why you should take this course. You'll have a personal mentor who will keep track of your development. Experts provide immersive online instructor-led seminars. 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 Singapore. Data Science provides a diverse set of tools for analyzing data from a range of sources, including financial records, multimedia files, marketing forms, sensors, and text files.

List of All Courses & Internship by TechnoMaster

Success Stories

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 Singapore

  • SIMGlobalEducation | Location details: 461 Clementi Rd, Singapore 599491 | Classification: Educational institution, Educational institution | Visit Online: sim.edu.sg | Contact Number (Helpline): +65 6248 9746
  • YishunPublicLibrary | Location details: 930 Yishun Ave 2 #04-01 North Wing Northpoint City, Singapore 769098 | Classification: Public library, Public library | Visit Online: nlb.gov.sg | Contact Number (Helpline):
  • StalfordLearningCentre@Yishun,NorthpointCity | Location details: 930 Yishun Ave 2, #02-29/166, Singapore 769098 | Classification: Education center, Education center | Visit Online: stalford.edu.sg | Contact Number (Helpline): +65 6481 3233
  • MyFirstSkoolAtBlk423Yishun | Location details: Yishun Ave 11, #01-550 Block 423, Singapore 760423 | Classification: Preschool, Preschool | Visit Online: myfirstskool.com | Contact Number (Helpline): +65 6509 7887
  • NanyangPolytechnic | Location details: 180 Ang Mo Kio Ave 8, Singapore 569830 | Classification: Polytechnic college, Polytechnic college | Visit Online: nyp.edu.sg | Contact Number (Helpline): +65 6451 5115
  • InternationalTradeInstituteOfSingaporePteLtd | Location details: 111 Somerset Rd, Singapore 238164 | Classification: Consultant, Consultant | Visit Online: | Contact Number (Helpline): +65 6837 9337
  • CatholicTheologicalInstituteOfSingapore(CTIS) | Location details: 618 Upper Bukit Timah Rd, #01-01, Singapore 678214 | Classification: Catholic school, Catholic school | Visit Online: ctis.sg | Contact Number (Helpline): +65 6902 8700
  • CreativeOPreschoolers’Bay | Location details: 31 International Business Park, #02-01, Singapore 609921 | Classification: Day care center, Day care center | Visit Online: creative-o.com.sg | Contact Number (Helpline): +65 6697 4168
  • InstituteForFinancialLiteracy | Location details: 500 Dover Rd, Singapore Polytechnic, Singapore 139651 | Classification: Educational institution, Educational institution | Visit Online: ifl.org.sg | Contact Number (Helpline): +65 6950 7538
  • 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
  • Orckids | Location details: BLK 153 Bukit Batok Street 11, #03-282, Singapore 650153 | Classification: Education center, Education center | Visit Online: orckids.biz | Contact Number (Helpline): +65 8881 2907
  • SummerNotes | Location details: 23 Bukit Batok East Ave 4, East Community Club, Singapore 659841 | Classification: Music school, Music school | Visit Online: summernotes.com | Contact Number (Helpline): +65 6565 9330
  • TzuChiGreatLovePreSchool(Yishun)慈济大爱幼教中心(义顺) | Location details: Blk 703 Yishun Ave 5, #01-270, Singapore 760703 | Classification: Preschool, Preschool | Visit Online: preschool.tzuchi.org.sg | Contact Number (Helpline): +65 6759 6470
  • Consulate-GeneralOfTheRepublicOfSingaporeInChennai | Location details: 17-A, N Boag Rd, Neelangarai, Parthasarathi Puram, T. Nagar, Chennai, Tamil Nadu 600017, India | Classification: Foreign consulate, Foreign consulate | Visit Online: mfa.gov.sg | Contact Number (Helpline): +91 44 2815 8207
  • HuaminPrimarySchool | Location details: 21 Yishun Ave 11, Singapore 768857 | Classification: Primary school, Primary school | Visit Online: huaminpri.moe.edu.sg | Contact Number (Helpline): +65 6752 9004
  • XishanPrimarySchool | Location details: 8 Yishun Street 21, Singapore 768611 | Classification: Primary school, Primary school | Visit Online: xishanpri.moe.edu.sg | Contact Number (Helpline): +65 6758 8837
 courses in Singapore
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