Data Science Training by Experts

;

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
10000+
20+
50+
25+

Data Science Jobs in Halifax

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

  • 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 Halifax
Data Science 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. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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. 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'll have a personal mentor who will keep track of your development. 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. Create data strategies with the help of team members and leaders. Experts provide immersive online instructor-led seminars. 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.

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 Halifax

  • AcademyOfLearningCareerCollegeHalifax | Location details: 6960 Mumford Rd #155, Halifax, NS B3L 4P1 | Classification: Private college, Private college | Visit Online: academyoflearning.com | Contact Number (Helpline): (902) 455-3395
  • NSCC-InstituteOfTechnologyCampus | Location details: 5685 Leeds St, Halifax, NS B3K 4M2 | Classification: Community college, Community college | Visit Online: nscc.ca | Contact Number (Helpline): (902) 491-6722
  • InteractiveSocietyOfNovaScotia | Location details: 1498 Lower Water St #1115, Halifax, NS B3J 3R5 | Classification: Software company, Software company | Visit Online: interactivenovascotia.com | Contact Number (Helpline):
  • DigitalNovaScotia | Location details: 1809 Barrington St Suite 1301, Halifax, NS B3J 3K8 | Classification: Non-profit organization, Non-profit organization | Visit Online: digitalnovascotia.com | Contact Number (Helpline): (902) 809-5332
  • NOVASCOTIASTUDENTS | Location details: 1526 Dresden Row, Halifax, NS B3J 3K3 | Classification: Educational consultant, Educational consultant | Visit Online: novascotiastudents.com | Contact Number (Helpline): (902) 444-3410
  • MountSaintVincentUniversity | Location details: 166 Bedford Hwy, Halifax, NS B3M 2J6 | Classification: Public university, Public university | Visit Online: msvu.ca | Contact Number (Helpline): (902) 457-6788
  • MountSaintVincentUniversity | Location details: 166 Bedford Hwy, Halifax, NS B3M 2J6 | Classification: Public university, Public university | Visit Online: msvu.ca | Contact Number (Helpline): (902) 457-6788
  • Long&McQuadeMusicalInstruments | Location details: 6065 Cunard St, Halifax, NS B3K 1E6 | Classification: Musical instrument store, Musical instrument store | Visit Online: long-mcquade.com | Contact Number (Helpline): (902) 496-6900
  • InteractiveSocietyOfNovaScotia | Location details: 1498 Lower Water St #1115, Halifax, NS B3J 3R5 | Classification: Software company, Software company | Visit Online: interactivenovascotia.com | Contact Number (Helpline):
  • BluedropTraining&Simulation | Location details: 36 Solutions Dr #300, Halifax, NS B3S 1N2 | Classification: Training centre, Training centre | Visit Online: bluedropts.com | Contact Number (Helpline): +1 800-563-3638
  • NOVASCOTIASTUDENTS | Location details: 1526 Dresden Row, Halifax, NS B3J 3K3 | Classification: Educational consultant, Educational consultant | Visit Online: novascotiastudents.com | Contact Number (Helpline): (902) 444-3410
  • SaintMary'sUniversity | Location details: 923 Robie St, Halifax, NS B3H 3C3 | Classification: University, University | Visit Online: smu.ca | Contact Number (Helpline): (902) 420-5400
  • Long&McQuadeMusicalInstruments | Location details: 6065 Cunard St, Halifax, NS B3K 1E6 | Classification: Musical instrument store, Musical instrument store | Visit Online: long-mcquade.com | Contact Number (Helpline): (902) 496-6900
  • CLLCHalifax | Location details: 5201 Duke St Unit 0230, Halifax, NS B3J 1N9 | Classification: Language school, Language school | Visit Online: cllc.ca | Contact Number (Helpline): (902) 461-9577
  • HalifaxAstrologer&HalifaxAstrologySchool | Location details: 28 Melrose Ave, Halifax, NS B3N 2E4 | Classification: Education center, Education center | Visit Online: halifaxastrologer.com | Contact Number (Helpline): (902) 880-0771
  • SaintMary'sUniversity | Location details: 923 Robie St, Halifax, NS B3H 3C3 | Classification: University, University | Visit Online: smu.ca | Contact Number (Helpline): (902) 420-5400
 courses in Halifax
These inexperienced persons are having an critical effect at the team of workers. 1% of employees are immigrants). If the dimensions of the team of workers begins offevolved to stagnate or decline, a lot of those strategically critical industries may want to warfare to locate employees and plenty financial interest may want to flow to different city centres. The network`s marketers and small enterprise proprietors also are getting older, that is an additional project for the neighborhood economy. It is targeted on developing the populace to 550,000 via way of means of 2031—an growth of 27% over 2017. The network`s universities, corporations and studies establishments are the principle drivers of studies and improvement withinside the vicinity. This is double the self-employment charge in comparison to the general populace. In the expert offerings area, greater than 45% are over the age of fifty five. As of 2017, immigrants accounted for the widespread majority of internet populace boom. A decade ago, herbal populace boom (births minus deaths) and migration from some other place in Canada contributed greater appreciably to Halifax`s internet populace boom every 12 months than did immigration.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer