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
Course Fees
10000+
20+
50+
25+

Data Science Jobs in Kottayam

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

  • 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 Kottayam
Data Science Effectively analyze both organized and unstructured data Create strategies to address company issues. 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. 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 Kottayam. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. Identify and collect data from data sources.

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 Kottayam

  • QuartzCarStudio | Location details: Kosamattam Jn, Nattassery, Kottayam, Kerala 686032, India | Classification: Car wash, Car wash | Visit Online: | Contact Number (Helpline): +91 70128 20010
  • UshusDigitalStudio | Location details: Pulimoodu Junction, Kottayam, Kerala 686001, India | Classification: Photography studio, Photography studio | Visit Online: | Contact Number (Helpline):
  • PadippuraToddyShop | Location details: Panamattom P.O, Vanchimala, Kottayam, Kerala 686575, India | Classification: Restaurant, Restaurant | Visit Online: toddyshop.in | Contact Number (Helpline): +91 94479 11132
  • ThirdEyePrinters,Kottayam | Location details: Azad lane, kottayam, Ground Floor Karunya Computer Building, Kottyam, Kerala 686001, India | Classification: Offset printer, Offset printer | Visit Online: thirdeyeprinters.com | Contact Number (Helpline): +91 94470 17895
  • RenaultKottayamSales&Service | Location details: RENAULT SERVICE - 9562295800, Adichira Ammancheri Rd, Kottayam, Kerala 686016, India | Classification: Renault dealer, Renault dealer | Visit Online: renaultkerala.com | Contact Number (Helpline): +91 81380 01111
  • PremiumWeddingCarRentalKottayamPalaChanganasseryThiruvalla | Location details: Mylamplackal , Peroor P O, Kottayam, Kerala 686637, India | Classification: Wedding service, Wedding service | Visit Online: kottayamweddingcarsrentals.com | Contact Number (Helpline): +91 94479 12997
  • SpeedTrackHomeNursingInKottayam | Location details: manu complex,2nd floor,near anand theater,K.S.R.T.C, Kottayam, Kerala 686001, India | Classification: Home health care service, Home health care service | Visit Online: | Contact Number (Helpline): +91 94478 69935
  • CarCardiacCareKottayam | Location details: Pallom, Kerala 686007, India | Classification: Car repair and maintenance, Car repair and maintenance | Visit Online: carcardiac.com | Contact Number (Helpline): +91 95620 57538
  • JubilyAutomobilesHeroWorkshopKottayam | Location details: Pukadiyil Ln, Nagampadam, Kottayam, Kerala 686002, India | Classification: Motorcycle dealer, Motorcycle dealer | Visit Online: jubilyhero.com | Contact Number (Helpline): +91 481 258 3790
  • AVSRentACar,AVSVoyagesIndiaPvtLtd | Location details: Near Federal Bank ATM Kodath Arcade, Kottayam-Kumily Rd, Kalathipady, Kerala 686010, India | Classification: Car leasing service, Car leasing service | Visit Online: avscars.in | Contact Number (Helpline): +91 90207 67777
  • DellExclusiveServiceCentre.Kottayam | Location details: GROUND FLOOR,VETTOOR BUILDINGS,T.B ROAD,NEAR KSRTC,OPP:HOTTEL, Arcadia, Kottayam, Kerala 686001, India | Classification: Computer repair service, Computer repair service | Visit Online: business.site | Contact Number (Helpline): +91 62351 62350
  • GermanAutoCare | Location details: Thannickalpadi, Vadavathoor PO, Kottayam, Kerala 686010, India | Classification: Car repair and maintenance, Car repair and maintenance | Visit Online: germanautocare.business.site | Contact Number (Helpline): +91 85890 81600
  • NewKrupaTailors(Kottayam) | Location details: Kandathil Building, Padijarenada,Near Canara bank, Thirunakara, Kottayam, Kerala 686001, India | Classification: Clothing alteration service, Clothing alteration service | Visit Online: | Contact Number (Helpline): +91 94951 77024
  • MGFHyundai | Location details: Konickal, Ettumanoor, Kottayam, Kerala 686631, India | Classification: Hyundai dealer, Hyundai dealer | Visit Online: mgfkerala.hyundaimotor.in | Contact Number (Helpline): +91 98470 49444
  • FeminSpace®UnisexSalon(LadiesGentsKidsBeautyParlourAndBridalMakeupStudio) | Location details: Moolaiparambil ATM Chambers, Opp. R.M.S, Railway Station Rd, Kottayam, Kerala 686001, India | Classification: Beauty salon, Beauty salon | Visit Online: feminspacebeauty.com | Contact Number (Helpline): +91 94955 23438
  • ShiningAuto | Location details: Kottayam Medical College Bypass Rd, Kumaranalloor, Kerala 686015, India | Classification: Used car dealer, Used car dealer | Visit Online: | Contact Number (Helpline): +91 98471 57868
  • Tisser Technologies LLP Address: K.K.Road, Kottayam - Kozhenchery Road, Kanjikuzhi, Kottayam, 686004 Phone: 090488 44711, website:www.tissertechnologies.com
  • St. Joseph's College of Engineering and Technology, Palai Address: Bharananganam Pravithanam Road, Choondacherry P.O, Palai-686 579, Choondacherry, Kerala 686579 Phone: 04822 239 780, website: www.sjcetpalai.ac.in
  • Mar Athanasius College of Engineering Address: Kozhippilly-College Junction Road, Kothamangalam, Kerala 686666 Phone: 0485 282 2363, website: www.mace.ac.in
  • Software Companies in Kottayam

    1. IPSR Solutions Ltd Address: Merchants' Association Building, ML Road, Abhilash Theatre Rd, Market, Kottayam, Kerala 686001 Phone: 0481 230 1085, website: ipsrsolutions.com
    2. ForAGoodStart Address: 79B, Parappallichira, Janatha Road, Manganam P.O, Kottayam, Kerala 686018 Phone: 098865 13061, website:www.foragoodstart.in
 courses in Kottayam
At that time, Kottayam became part of the Vempolinad, which belonged to the Kulasekhara Empire (1090-1102 A. km. The remnants of palaces and forts are nonetheless visible right here. ). the Southern and Northem division, underlie admiaislmlive GontfOl Ot a `Dwan PeshKar` tor every. Rubber is the predominant coins crop. Population There Is a complete populace of 1828271 in line with the Census of 1991. A massive Rubber centre, Kottayam has been selected as the headquarters of the Indian Rubber Board. The Vembanad Lake Itself, derives its call from Vempolinad • The nation of Vempolinad, cut up itself into the kingdoms of Thekkumkur and Vadakkumkur via way of means of approximately 1100 A. Kottayam occupied a pre-eminent function withinside the cultural life of the Travancore princely court, the principle cause being the migration of Ramapurathu Warrier,the well-known poet of Vadakkumkur.

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