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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Data Science Jobs in Windsor

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

  • 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 Windsor
Data Science This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. To find trends and patterns, use algorithms and modules. 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. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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. A Data Scientist is a highly skilled someone with advanced mathematical, statistical, scientific, analytical, and technical abilities who can prepare, clean, and validate organized and unstructured data for industries to utilize in making better decisions. 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 Windsor. 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. Cleaning and validating data to ensure that it is accurate and consistent. Experts provide immersive online instructor-led seminars.

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 Windsor

  • HypnotherapyTrainingCourseIreland | Location details: Windsor Place, Martin Kiely Hypnosis Centre, 1, Ballyhooly Rd, St Luke's Cross, Cork, T23 PX6N, Ireland | Classification: Training centre, Training centre | Visit Online: hypnotherapytrainingcourseireland.com | Contact Number (Helpline): +353 21 487 0870
  • Jacobs | Location details: 2nd Floor, Windsor Business Park, B1-D, Sector 10, Noida, Uttar Pradesh 201301, India | Classification: Consultant, Consultant | Visit Online: jacobs.com | Contact Number (Helpline):
  • VisionHonda | Location details: Building No 11/243, Peekay Complex Sy No 434/3 & 434/4,MC Road,Nattakom, near Hotel Windsor Castle, Kottayam, Kerala 686013, India | Classification: Car dealer, Car dealer | Visit Online: dealer.hondacarindia.com | Contact Number (Helpline): +91 86575 89159
  • HypnosisTrainingIreland | Location details: Windsor Pl, Dublin, Ireland | Classification: Hypnotherapy service, Hypnotherapy service | Visit Online: nghtrainingireland.com | Contact Number (Helpline): +353 21 487 0870
  • Levitate | Location details: Floor 2 Office 8, 24 Windsor Pl, Cardiff CF10 3BY | Classification: Web Designer, Web Designer | Visit Online: levitate.digital | Contact Number (Helpline): 07494 879520
  • UNBFacultyOfComputerScience | Location details: 550 Windsor St, Fredericton, NB E3B 5A3 | Classification: University department, University department | Visit Online: cs.unb.ca | Contact Number (Helpline): (506) 453-4666
  • VenicePiaggio | Location details: M C Road, Near Windsor Castle, Kodimatha, Kottayam, Kerala 686013, India | Classification: Auto broker, Auto broker | Visit Online: | Contact Number (Helpline):
  • EastLondonRemovals | Location details: 92 Windsor Rd, London E7 0RB, United Kingdom | Classification: Moving and storage service, Moving and storage service | Visit Online: eastlondonremovals.london | Contact Number (Helpline): +44 20 3959 3000
  • WindsorCareerCollege | Location details: 1625 Albion Rd Suite 203, Etobicoke, ON M9V 5H8 | Classification: Training centre, Training centre | Visit Online: windsorcareercollege.ca | Contact Number (Helpline): (416) 551-5475
  • HypnosisTrainingIreland | Location details: Windsor Pl, Dublin, Ireland | Classification: Hypnotherapy service, Hypnotherapy service | Visit Online: nghtrainingireland.com | Contact Number (Helpline): +353 21 487 0870
  • KTMKottayam | Location details: M.C.Road, Kodimatha, Nattakom, Near Windsor Castle, Kottayam, Kerala 686013, India | Classification: Motorcycle dealer, Motorcycle dealer | Visit Online: ktm.com | Contact Number (Helpline):
  • NewEraInstitute | Location details: Suite 13 & 14/100 George St, Windsor NSW 2756, Australia | Classification: Educational institution, Educational institution | Visit Online: newerainstitute.edu.au | Contact Number (Helpline): +61 2 8964 6457
  • WindsorCareerCollege | Location details: 235 Eugenie St W Suite 200, Windsor, ON N8X 2X7 | Classification: Educational institution, Educational institution | Visit Online: windsorcareercollege.ca | Contact Number (Helpline): (519) 971-8066
  • St.ClairCollegeWindsorCampus | Location details: St. Clair College - Main Building, 2000 Talbot Rd, Windsor, ON N9G 3C3 | Classification: College, College | Visit Online: stclaircollege.ca | Contact Number (Helpline): (519) 966-1656
  • HypnotherapyTrainingCourseIreland | Location details: Windsor Place, Martin Kiely Hypnosis Centre, 1, Ballyhooly Rd, St Luke's Cross, Cork, T23 PX6N, Ireland | Classification: Training centre, Training centre | Visit Online: hypnotherapytrainingcourseireland.com | Contact Number (Helpline): +353 21 487 0870
 courses in Windsor
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