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 Cork

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

  • 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 Cork
Data Science . 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. 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 Cork. 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. 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. 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 Cork. Cleaning and validating data to ensure that it is accurate and consistent. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. Experts provide immersive online instructor-led seminars.

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 Cork

  • ELTI-ExtensiveLanguageTrainingIreland | Location details: Old School House, Ratharoon, Bandon, Co. Cork, Ireland | Classification: , | Visit Online: | Contact Number (Helpline): +353 23 884 4730
  • PassionForCreative | Location details: Waterford Business Park, City Enterprise Centre, Cork Rd, Waterford, X91 HK26, Ireland | Classification: Marketing agency, Marketing agency | Visit Online: passionforcreative.com | Contact Number (Helpline): +353 51 580 969
  • NationalMaritimeCollegeOfIreland | Location details: Ringaskiddy, Co. Cork, Ireland | Classification: College, College | Visit Online: nmci.ie | Contact Number (Helpline): +353 21 433 5600
  • 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
  • ProfessionalTrainingSolutionsLtd | Location details: 6500 Unit E, Kinsale Rd, Lehenagh More, Cork, Ireland | Classification: Training centre, Training centre | Visit Online: professional.ie | Contact Number (Helpline): +353 21 431 9010
  • ProfessionalTrainingSolutionsLtd | Location details: 6500 Unit E, Kinsale Rd, Lehenagh More, Cork, Ireland | Classification: Training centre, Training centre | Visit Online: professional.ie | Contact Number (Helpline): +353 21 431 9010
  • NMCIServices | Location details: Ringaskiddy, Co. Cork, P43 XV65, Ireland | Classification: Training centre, Training centre | Visit Online: nmci.ie | Contact Number (Helpline): +353 21 433 5609
  • Noise™WebDesign&DigitalMarketingAgency | Location details: 15 South Terrace, Ballintemple, Cork, T12 A0FH, Ireland | Classification: Website designer, Website designer | Visit Online: noisewebdesign.com | Contact Number (Helpline): +353 21 431 9524
  • TRAININGVISIONIRELAND | Location details: Academy House, 18 Academy St, Centre, Cork, T12 KWX7, Ireland | Classification: Education center, Education center | Visit Online: trainingvisionireland.com | Contact Number (Helpline): +353 21 241 4811
  • NMCIServices | Location details: Ringaskiddy, Co. Cork, P43 XV65, Ireland | Classification: Training centre, Training centre | Visit Online: nmci.ie | Contact Number (Helpline): +353 21 433 5609
  • PlusPromotionsCork | Location details: 9 Connolly Street, Maulnaskehy, Clonakilty, Co. Cork, P85 CV62, Ireland | Classification: Website designer, Website designer | Visit Online: pluspromotions.ie | Contact Number (Helpline): +353 87 419 5190
  • TRAININGVISIONIRELAND | Location details: Academy House, 18 Academy St, Centre, Cork, T12 KWX7, Ireland | Classification: Education center, Education center | Visit Online: trainingvisionireland.com | Contact Number (Helpline): +353 21 241 4811
  • Kode88WebsiteDesignIreland | Location details: Gortmore, Lombardstown, Co. Cork, P51 F792, Ireland | Classification: Website designer, Website designer | Visit Online: kode88.ie | Contact Number (Helpline): +353 87 710 4459
  • NationalMaritimeCollegeOfIreland | Location details: Ringaskiddy, Co. Cork, Ireland | Classification: College, College | Visit Online: nmci.ie | Contact Number (Helpline): +353 21 433 5600
  • GraniteDigital | Location details: City Quarter, Lapp's Quay, Centre, Cork, Ireland | Classification: Marketing consultant, Marketing consultant | Visit Online: granite.ie | Contact Number (Helpline): +353 21 242 7890
  • RockspringWebDesign | Location details: Rockspring, Liscarroll, Co. Cork, P51 VW58, Ireland | Classification: Website designer, Website designer | Visit Online: rockspring.design | Contact Number (Helpline):
 courses in Cork
The draft RSES was available for public discussion from December 2018 to March 2019. The Government sets its vision for sustainability in transport and sets out five crucial pretensions( i) to reduce overall trip demand,( ii) to maximise the effectiveness of the transport network,( iii) to reduce reliance on fossil energies,( iv) to reduce transport emigrations and( v) to ameliorate availability to transport. This vison for Cork City will be achieved through the realisation of the following strategic pretensions Increase population and homes to produce a compact sustainable megacity; Achieve a advanced quality of life, promote social addition and make the megacity an seductive and healthy place to live, work, visit and invest in; Support the revitalisation of the megacity’s frugality; Promote sustainable modes of transport and integration of land use and transportation; Maintain and capitalise on Cork’s unique form and character; paraphernalia climate change through reducing energy operation, reducing emigrations, acclimatize to climate change and alleviate against flood tide threat; and cover and expand the green structure of the megacity. Strategic Investment Framework for Land Transport In keeping with the SFILT, the first precedence for unborn investment under the Strategy will be the steady state conservation of the being land transport structure and services in the CMA. The focus of the plan is to grow the megacity’s domestic and employment population. Cork City Development Plan 2015- 2021 Cork City Development Plan sets out the development frame for the City of Cork to 2021. Regional Guidance At a indigenous position, the NPF 2040 recommends the development of RSESs and MASPs. The coming precedence, harmonious with SFILT, will be to address civic traffic and ameliorate the effectiveness and sustainability of the civic transport system in the CMA. This will involve expenditure on conservation and renewal to keep the being transport system in an acceptable condition, and operating and operation expenditure to insure the continuing delivery of acceptable transport services. Spatial Planning and public Roads( 2012) The Spatial Planning and public Roads guidelines sets out planning policy considerations relating to development affecting National Primary and National Secondary Roads, including motorways and associated junctions.

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