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 Belfast

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

  • 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 Belfast
Data Science 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. 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 Belfast. Create data strategies with the help of team members and leaders. 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. There are numerous reasons why you should take this course. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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 Belfast. .

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 Belfast

  • FlowlensMRP&CRM | Location details: Unit B4, 19 Heron Rd, Belfast BT3 9LE, United Kingdom | Classification: Software company, Software company | Visit Online: flowlens.com | Contact Number (Helpline): +44 28 9099 8597
  • TheKnowledgeAcademy | Location details: Wellington Park Business Centre, 21 Malone Rd, Belfast BT9 6RU, United Kingdom | Classification: Training provider, Training provider | Visit Online: theknowledgeacademy.com | Contact Number (Helpline): +44 1344 203999
  • SAPBelfast | Location details: Concourse Building, Queens Rd, Belfast BT3 9DT, United Kingdom | Classification: Software company, Software company | Visit Online: sap.com | Contact Number (Helpline):
  • Gekkoshot | Location details: Northern Ireland Science Park, Queens Rd, Belfast BT3 9DT, United Kingdom | Classification: Website designer, Website designer | Visit Online: gekkoshot.com | Contact Number (Helpline): +44 28 9040 6094
  • Sureskills | Location details: 58-60 Upper Arthur St, Belfast BT1 4GJ, United Kingdom | Classification: , | Visit Online: | Contact Number (Helpline):
  • HSCLeadershipCentre | Location details: 12 Hampton Manor Dr, Belfast BT7 3EN, United Kingdom | Classification: Training centre, Training centre | Visit Online: leadership.hscni.net | Contact Number (Helpline): +44 28 9536 1750
  • AdmorBusinessSolutions | Location details: Unit 207, Moat House, 54 Bloomfield Ave, Belfast BT5 5AD, United Kingdom | Classification: Business management consultant, Business management consultant | Visit Online: admorbusiness.com | Contact Number (Helpline): +44 7828 631021
  • MullanTechnology | Location details: Ist Floor, Blackstaff Studios Blackstaff Square, 8-10 Amelia St, Belfast BT2 7GS, United Kingdom | Classification: Software company, Software company | Visit Online: mullantechnology.com | Contact Number (Helpline): +44 28 9032 2228
  • SpringvaleEmploymentAndLearning | Location details: 200 Springfield Rd, Belfast BT12 7DR, United Kingdom | Classification: Training provider, Training provider | Visit Online: springvalelearning.com | Contact Number (Helpline): +44 28 9024 2362
  • BigWaveMediaTraining | Location details: 54 Elmwood Mews, Belfast BT9 6AZ, United Kingdom | Classification: Computer store, Computer store | Visit Online: | Contact Number (Helpline): +44 1890 403400
  • ExploristicsLtd | Location details: Floor 4, 24 Linenhall St, Belfast BT2 8BG, United Kingdom | Classification: Consultant, Consultant | Visit Online: exploristics.com | Contact Number (Helpline): +44 28 9600 1996
  • LSDANorthernIreland | Location details: 21 Alfred St, Belfast BT2 8FD, United Kingdom | Classification: Computer store, Computer store | Visit Online: | Contact Number (Helpline): +44 28 9044 7700
  • WAVTEQUK | Location details: 3rd Floor, Forsyth House, Cromac St, Belfast BT2 8LA, United Kingdom | Classification: Consultant, Consultant | Visit Online: | Contact Number (Helpline): +44 28 9099 7559
  • FSComLimited | Location details: Waring St, Belfast BT1 2DX, United Kingdom | Classification: Financial planner, Financial planner | Visit Online: fscom.co.uk | Contact Number (Helpline): +44 28 9042 5451
  • AshtonCentre | Location details: 5 Churchill St, Belfast BT15 2BP, United Kingdom | Classification: Charity, Charity | Visit Online: ashtoncentre.com | Contact Number (Helpline): +44 28 9074 2255
  • CommendHRSoftware | Location details: 30 Wynchurch Park, Belfast BT6 0JN, United Kingdom | Classification: Human resource consulting, Human resource consulting | Visit Online: commendhr.business.site | Contact Number (Helpline): +44 28 9744 2551
 courses in Belfast
Formed ostensibly for defence of the Kingdom, the Volunteers had been quickly urgent their very own protest against "taxation with out illustration". [10] The sandbar shaped on the confluence (at present-day Donegall Quay) of rivers: the Lagan, which flows into Belfast Lough, and the Farset, a tributary of the Lagan. [24] The particularly English and Manx settlers took Anglican communion at Corporation Church at the quay-aspect cease of High Street.  1969–1998, and components of the town continue to be segregated among Catholics and Protestants. Belfast's MPs remained nominees of the Chichesters (Marquesses of Donegall). [30] As "Dissenters" from the set up Church, Presbyterians had been aware of sharing, if handiest in part, the disabilities of Ireland's dispossessed Roman Catholic majority; and of being denied illustration withinside the Irish Parliament. It additionally has a primary aerospace enterprise. [29] Profits from the exchange financed enhancements withinside the metropolis's business infrastructure, consisting of the Lagan Canal, new docks and quays, and the development of the White Linen Hall which collectively interested in Belfast the linen exchange that had previously long gone thru Dublin. With the task of Plantation, Belfast turned into set up as a metropolis in 1613 via way of means of Sir Arthur Chichester. [22] Early settlements The webweb page of Belfast has been occupied because the Bronze Age.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer