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
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Data Science Jobs in Napier

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

  • 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 Napier
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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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 Napier. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. Experts provide immersive online instructor-led seminars. 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. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. To find trends and patterns, use algorithms and modules. 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 Napier. You'll have a personal mentor who will keep track of your development.

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 Napier

  • DavidHallArtCafeCGHEarth | Location details: 1/264, Napier Street Opp. Parade Ground, Fort Kochi, Kochi, Kerala 682001, India | Classification: Art gallery, Art gallery | Visit Online: davidhall.in | Contact Number (Helpline): +91 484 301 1711
  • SaiWebTechnology | Location details: Shastri Bridge, Napier Town, Jabalpur, Madhya Pradesh 482001, India | Classification: Website designer, Website designer | Visit Online: saiwebtech.com | Contact Number (Helpline): +91 93019 75143
  • SaiWebTechnology | Location details: Shastri Bridge, Napier Town, Jabalpur, Madhya Pradesh 482001, India | Classification: Website designer, Website designer | Visit Online: saiwebtech.com | Contact Number (Helpline): +91 99937 44044
  • JPTechnoPark | Location details: 1149, Home Science College Rd, Napier Town, Jabalpur, Madhya Pradesh 482001, India | Classification: Website designer, Website designer | Visit Online: jptechnopark.business.site | Contact Number (Helpline): +91 78284 50748
 courses in Napier
A. Marine Parade is one of Napier's most famous highlights - a tree-lined seaside boulevard with fountains, gardens, mini-golf, statues and spas. These two neighboring towns are often referred to as New Zealand's "Gulf City" or "Twin Cities", with the two towns and surrounding towns of Havelock North and Clive having a combined population of 134,770. The climate is warm and relatively dry due to its location on the east coast of the North Island. Oriental Institute of Technology in Taradale is the main provider of higher education in Napier and Hawke's Bay. Many of the rivers that flow through the area are used for water activities, such as jet boating, jet skiing, canoeing, kayaking, fishing, lure fishing and swimming. Napier is the hub of the Southern Hemisphere's largest wool hub and is the main export port for New Zealand's northeast, New Zealand's largest producer of apples, pears and nuts. 0 per square kilometer. Napier's theater scene includes works by the Napier Operatic Society, based at the Tabard Theater, and musicals at the Napier Municipal Theatre, another notable example of Art Deco architecture. The terrain puts Napier at risk of tsunamis, as the center of the commercial town is located close to sea level - if sea break the Marine Parade, the sea will cross Ahuriri.

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