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
10000+
20+
50+
25+

Data Science Jobs in Alappuzha

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

  • 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 Alappuzha
Data Science . 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 Alappuzha. 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. 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. Experts provide immersive online instructor-led seminars. Create data strategies with the help of team members and leaders. 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. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights.

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 Alappuzha

  • EnglishCompany | Location details: Cullen Rd, Erezha, Mullakkal, Alappuzha, Kerala 688011, India | Classification: Pharmacy, Pharmacy | Visit Online: | Contact Number (Helpline): +91 97478 23124
  • JanAushadhiStore | Location details: Pazhavangadi Church Rd, Town, Alappuzha, Kerala 690511, India | Classification: Pharmacy, Pharmacy | Visit Online: | Contact Number (Helpline): +91 95624 23124
  • PopularHyundai-Alappuzha | Location details: Kommady, Kaichoondi, Alappuzha, Kerala 688007, India | Classification: Car dealer, Car dealer | Visit Online: popularhyundai.com | Contact Number (Helpline):
  • MGFHyundai | Location details: Door No- VIII/481, Punnapra, Alappuzha, Kerala 688004, India | Classification: Car dealer, Car dealer | Visit Online: mgfkerala.hyundaimotor.in | Contact Number (Helpline): +91 75580 23000
  • LemonTreeCafe | Location details: Convent Square, Sea View Ward, Alappuzha, Kerala 688001, India | Classification: Cafe, Cafe | Visit Online: | Contact Number (Helpline):
  • JoyalukkasJewellery | Location details: North of Iron Bridge, NH 66, Alappuzha, Kerala 688001, India | Classification: Jeweler, Jeweler | Visit Online: joyalukkas.in | Contact Number (Helpline): +91 477 225 5111
  • PopularHyundai-Alappuzha | Location details: Kommady, Kaichoondi, Alappuzha, Kerala 688007, India | Classification: Car dealer, Car dealer | Visit Online: popularhyundai.com | Contact Number (Helpline):
  • NetVentureDigitalSolutionsPvt.Ltd. | Location details: Variethu Central Plaza, Nangiarkulangara, Haripad, Alappuzha, Kerala 690513, India | Classification: Website designer, Website designer | Visit Online: netventure.in | Contact Number (Helpline): +91 79071 37617
  • THENGUMMOOTTILPAPERMART | Location details: NEW BAZAR, Alappuzha, Kerala 688001, India | Classification: Paper distributor, Paper distributor | Visit Online: | Contact Number (Helpline): +91 94971 95764
  • PriyaBakery | Location details: District Ct Way Rd, Kidangamparamp, Thondankulangara, Thathampally, Alappuzha, Kerala 688013, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline):
  • AlappuzhaKTM | Location details: Buidling No. VI/5A, NH 47, Near Paravoor Jn, Kerala 688014, India | Classification: Motorcycle dealer, Motorcycle dealer | Visit Online: popularktm.com | Contact Number (Helpline): +91 81296 02337
  • JanAushadhiStore | Location details: Pazhavangadi Church Rd, Town, Alappuzha, Kerala 690511, India | Classification: Pharmacy, Pharmacy | Visit Online: | Contact Number (Helpline): +91 95624 23124
  • DistrictFormsStoreAlappuzha | Location details: Basar PO, Zakaria Basar, Alappuzha, Kerala 688012, India | Classification: Commercial printer, Commercial printer | Visit Online: | Contact Number (Helpline): +91 477 226 1254
  • Achayans | Location details: YMCA Bridge, Erezha, Mullakkal, Alappuzha, Kerala 688001, India | Classification: Cafe, Cafe | Visit Online: | Contact Number (Helpline): +91 80896 22577
  • SpartanPrinters(FormsAlleppey) | Location details: Vazhicherry Road, Vazhicherry Ward, Sea View Ward, Alappuzha, Kerala 688001, India | Classification: Commercial printer, Commercial printer | Visit Online: | Contact Number (Helpline): +91 98470 42760
  • JoyalukkasJewellery | Location details: North of Iron Bridge, NH 66, Alappuzha, Kerala 688001, India | Classification: Jeweler, Jeweler | Visit Online: joyalukkas.in | Contact Number (Helpline): +91 477 225 5111
  • Web Development Companies in Alappuzha

    1. s4system Address: Thiruvambady junction, Valiyakulam- Thiruvampady Rd, Mullathuvalappu, Alappuzha, Kerala 688001 Phone: 080898 95712 , website:www.s4system.com
    2. Graceland IT Solutions Address: Arattuvazhi P.O., NH 66, Alappuzha, Kerala 688007 Phone: 0477 224 4233, website: gracelandit.com
    3. Netron Webtech Address: 1st Floor, Sreekumar Buildings, C.C.S.B Road, Alappuzha, Kerala 688011 mobile: 094474 73353, website: www.netronwebtech.com

    IT Training Institutes/Engineering Colleges in Alappuzha

    1. College of Engineering and Management, Punnapra Address: Punnapra North, Alappuzha, Kerala 688003 Phone: 0477 226 6711, website: www.cempunnapra.org
 courses in Alappuzha
Alappuzha become the industrial city of the erstwhile Kingdom of Travancore. The district is a broadly known traveller destination, and is widely known for its coir factories. A few ware homes and stores had been opened. Even aleven though no exchange sports can manifest withinside the gift port of Alappuzha, growing the port on the way to make it a well-known traveller appeal goes to manifest or in different phrases the tourism quarter have come to rescue the traditionally and economically vital Alappuzha port. Even aleven though the royal length of Alappuzha port lasted handiest until 1989, the port won an inevitable position withinside the financial records of Kerala via those years. This project will certainly boom the financial blessings withinside the tourism quarter of Alappuzha Alappuzha or Alleppey is a coastal district withinside the Southern country of Kerala. Raja Keshava Das supplied all infrastructural centers to traders and buyers from Surat, Mumbai, Sindh and Kutch to begin the business enterprises, buying and selling and load facilities withinside the newly setup port metropolis of Alappuzha. Tourism quarter is the precept contributor of the country`s financial system and has emerged as a prime propeller withinside the financial improvement of Kerala. For census purpose, Aroor, Arookutty, Kadamthuruthu, Tanneermukkam Vadakku, Thaneermukkam Thekku, Vayalar East and Kokkothamangalam village, except the component covered in Cherthala municipality are dealt with withinside the 1981 census as census cities primarily based totally at the threefold standards followed for treating an area as census metropolis. Alappuzha become shaped as Alleppey District on August 17, 1957.

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