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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
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Data Science Jobs in Peterborough

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

  • 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 Peterborough
Data Science A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. Cleaning and validating data to ensure that it is accurate and consistent. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. 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. 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. You'll have a personal mentor who will keep track of your development. 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.

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 Peterborough

  • Netmechanics | Location details: 270 George St N, Peterborough, ON K9J 3H1 | Classification: Computer consultant, Computer consultant | Visit Online: netmechanics.ca | Contact Number (Helpline): (519) 378-8912
  • ShawComputerSystems | Location details: 236 King St, Peterborough, ON K9J 7L8 | Classification: Computer support and services, Computer support and services | Visit Online: shawcsit.com | Contact Number (Helpline): (705) 742-2204
  • Aspire2Education-ChristchurchCampus | Location details: 76 Peterborough Street, Christchurch Central City, Christchurch 8013, New Zealand | Classification: International school, International school | Visit Online: aspire2international.ac.nz | Contact Number (Helpline): +64 9 555 5490
  • TechnologyPeople | Location details: 1321 Tudor Crescent, Peterborough, ON K9L 1X1 | Classification: Computer repair service, Computer repair service | Visit Online: technologypeople.ca | Contact Number (Helpline): (705) 927-5115
  • HonestWebDevelopment | Location details: 13 Aldermans Dr, Peterborough PE3 6AR, United Kingdom | Classification: Website designer, Website designer | Visit Online: honest-web.uk | Contact Number (Helpline):
  • Go2ComputerGuy | Location details: 685 Heritage Trail, Peterborough, ON K9L 0B4 | Classification: Computer service, Computer service | Visit Online: go2computerguy.ca | Contact Number (Helpline): (705) 872-1039
  • SpeakSpanishLanguageInstitute | Location details: 76 Peterborough Street, Christchurch Central City, Christchurch 8013, New Zealand | Classification: Language school, Language school | Visit Online: speakspanish.co.nz | Contact Number (Helpline): +64 800 377 2665
  • NewZealandInstituteOfSportChristchurchCampus | Location details: 85 Peterborough Street, Christchurch Central City, Christchurch 8013, New Zealand | Classification: University, University | Visit Online: nzis.co.nz | Contact Number (Helpline): +64 3 961 3046
  • SinghITServicesInc. | Location details: 1871 Stewartcroft Crescent, Peterborough, ON K9K 1G7 | Classification: Computer support and services, Computer support and services | Visit Online: singhit.ca | Contact Number (Helpline): (437) 880-2051
 courses in Peterborough
Amazon and DHL currently recruiting (throughout the summer) in instruction for “the Christmas rush”. If Peterborough hired the identical percent of human beings withinside the production zone as Great Britain, then there could be a similarly 2,000 jobs on this zone. • Peterborough has a decrease percent of human beings hired withinside the production zone in comparison to the Eastern area or Great Britain. If Peterborough hired the identical percent of human beings on this zone as Great Britain, then there could be a similarly 5240 jobs withinside the zone. Some 14% of the nearby group of workers, however, has no formal qualifications. • there are a extra percent of human beings in complete time employment in Peterborough than withinside the Eastern area or in Great Britain. Recent evaluation through the LEP for the calendar yr 2014 for the Peterborough location suggests that maximum numbers of classified ads had been in: • commercial enterprise and public provider accomplice professionals • science, technical, engineering and studies professionals • administration • company managers and directors • commercial enterprise, media and public provider professionals • fitness professionals • income • professional electric and digital trades • teaching. In 2011, Opportunity Peterborough`s evaluation of nearby demographics and monetary possibility withinside the Local Economic Assessment indicated that the operating age populace became set to growth through 43% among 2008 and 2031, the usage of vital authorities statistics, census records and NOMIS records. Some sectors are much less probable to overtly put it up for sale jobs, and there's the widely-mentioned anecdote saying that among a 3rd and a 1/2 of of jobs are in no way overtly marketed however recruit through phrase of mouth, the usage of present networks to perceive particular talent (see, for example, studies through TheLadders on-line process healthy network, US, 2014). Skills regions wherein respondents to the CPC survey had been maximum probable to perceive gaps had been production, engineering and ICT.

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