Data Science Training by Experts

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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 Bray

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

  • 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 Bray
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. 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 Bray. To find trends and patterns, use algorithms and modules. 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. You'll have a personal mentor who will keep track of your development. 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. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. Effectively analyze both organized and unstructured data Create strategies to address company issues. Identify and collect data from data sources. 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 Bray.

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 Bray

  • Weblogic | Location details: Southern Cross Business Park, Unit 54, Boghall Rd, Bray, Co. Wicklow, A98 CY94, Ireland | Classification: Website designer, Website designer | Visit Online: weblogic.ie | Contact Number (Helpline): +353 86 738 1271
  • AestheticTrainingAcademyIreland(ATAI)Limited | Location details: 44 Main St, Bray, Co. Wicklow, A98 F7X4, Ireland | Classification: Medical school, Medical school | Visit Online: atai.ie | Contact Number (Helpline): +353 1 524 1511
  • ThirumailamAgency | Location details: Subbarayalu Nagar Road, Subbrayalu Nagar, Thirupapuliyur, Cuddalore, Tamil Nadu 607002, India | Classification: Air conditioning repair service, Air conditioning repair service | Visit Online: | Contact Number (Helpline):
  • AestheticTrainingAcademyIreland(ATAI)Limited | Location details: 44 Main St, Bray, Co. Wicklow, A98 F7X4, Ireland | Classification: Medical school, Medical school | Visit Online: atai.ie | Contact Number (Helpline): +353 1 524 1511
  • ThirupadiripuliyurPostOffice | Location details: 2nd Cross Rd, Subbrayalu Nagar, Thirupapuliyur, Cuddalore, Tamil Nadu 607002, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline): +91 4142 236 152
 courses in Bray
Several Romano- British burials, maybe part of a cemetery, exhumed on the Bray reinforcement in the vicinity of the present Esplanade Terrace, 3 raise the possibility of a alternate- century presence from outside Ireland. 1459 a new' ten pound' castle was erected in Little Bray to defend the route over the shoal from looters from the south. medieval and early ultramodern agreement, may have been recognised as a desirable one indeed before the appearance of the Anglo- Normans. 1 5 In 1676 members of the Brabazon family made an agreement that leases could be for 61 times or 3 lives, since offers were being made' by divers persons' to erect' houses, thoroughfares, request places and other advancements' handed that they could have long plats. 1). 4 Rathmichael, 3 km down, was the nearest early Christian monastic agreement of any significance and Bray's only surviving structure of the period is a small medieval church, Raheenacluig, on the north side of Bray Head. Walter de Ridelesford was granted the lands on either side of the Dargle in 1173, 7 and soon latterly he erected a castle, presumably a motte, on the south side of the swash(Fig. The church had glebe lands called College Close, there was a shoal near to the shop race and — most importantly — there was by this date a gravestone ground over the Dargle River. The same shining quartzites form the two most dramatic of the peaks that give Bray with its scenic setting the Great Sugar Loaf and the Little Sugar Loaf. I f it can be linked with the castle of' Rokelescourt', the form of which was a condition under which Geoffrey Crump was granted a twenty- time parcel of the manor house of Bray in 1335- 6, also it was presumably strengthened or rebuilt in the fourteenth century.

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