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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
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Data Science Jobs in Trivandrum

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

  • 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 Trivandrum
Data Science . To find trends and patterns, use algorithms and modules. Effectively analyze both organized and unstructured data Create strategies to address company issues. 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. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. There are numerous reasons why you should take this course. 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. Cleaning and validating data to ensure that it is accurate and consistent. 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.

List of All Courses & Internship by TechnoMaster

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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 Trivandrum

  • PaintMyWalls-ProfessionalHousePaintersInKerala,Kochi,Thrissur,Trivandrum. | Location details: Valamkottil Arcade, Vallathole Junction, Vi/790, Seaport - Airport Rd, Vallathol Padi, Vidya Nagar Colony, Thrikkakara, P.O, Kochi, Kerala 682021, India | Classification: Painter, Painter | Visit Online: paintmywalls.in | Contact Number (Helpline): +91 76760 24024
  • ReliableInformationTechnologyServices,Trivandrum | Location details: Ambalamukku, Thiruvananthapuram, Kerala 695003, India | Classification: Software company, Software company | Visit Online: ritsinfo.com | Contact Number (Helpline):
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  • PhpTrainingInTrivandrumKerala | Location details: Nandanam, TC-11/415-3, Navodaya Gardens, Nalanchira(po), Parottukonam, Tilak Nagar, Thiruvananthapuram, Kerala 695015, India | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline):
  • IASE | Location details: IASE,2nd Floor,Millenium Towers,Behind Petrol pump,Vazhutacaud Jn. Trivandrum,Ke, Vazhuthacaud, Thiruvananthapuram, Kerala 695014, India | Classification: Training centre , Training centre | Visit Online: iase.in | Contact Number (Helpline): +91 70255 70055
  • CSOITrivandrum | Location details: Golf Links Rd, Kowdiar Gardens, Kowdiar, Thiruvananthapuram, Kerala 695003, India | Classification: Tutoring service, Tutoring service | Visit Online: csoi.kerala.gov.in | Contact Number (Helpline):
  • RCDTrivandrum|CarWash,Painting&DetailingInKerala | Location details: Ulloor, Akkulam Road Medical College P.O, near BEVCO, Thiruvananthapuram, Kerala 695011, India | Classification: Car wash, Car wash | Visit Online: teamrcd.com | Contact Number (Helpline): +91 99612 31122
  • Sree Chitra Thirunal College of Engineering Address: CTO Colony, Pappanamcode, Thiruvananthapuram, Kerala 695018 Phone: 0471 249 0572, website:www.sctce.ac.in
  • Networkz Systems Address: 3rd floor, Bhadra centre, Opp Dhanya & Remya Theater, Ayurveda college Jn, Trivandrum, Ayurveda college, Thiruvananthapuram, Kerala 695001 contact:092870 00777, website:networkzsystems.com
  • Software Companies in Thiruvananthapuram

    1. Neologix Software Solutions Address: Vazhuthacaud, Thiruvananthapuram, Kerala Phone: 0471 401 4760, website:www.nlindia.com
    2. Naga Info Solutions Pvt. Ltd. Address: Naga Building, Plot No.33, PTP Nagar, Thiruvananthapuram, Kerala 695038 contact: 0471 236 9166, website:nagainfo.com
    3. White Oval Technologies Private Limited Address: THEJASWNI, Technopark,, Technopark Campus, Kazhakkottam, Thiruvananthapuram, Kerala 695581 Phone: 099950 50315, website:whiteovaltechnologies.com
 courses in Trivandrum
In 1904, the Sree Moolam Assembly got here into being. In 1873, the gift University College of Thiruvananthapuram become opened. This become later re-particular as University of Kerala, following the formation of Kerala State in 1956. The promulgation of the Temple Entry Proclamation (1936) become really well worth mentioning. Thiruvananthapuram the Southernmost district of the coastal State of Kerala in South India got here into lifestyles on 1st November 1956. Various commercial promotional organizations performs an critical role. Thiruvananthapuram become called a awesome centre of highbrow and inventive sports in the ones days. The duration, for the reason that Maharaja Sree Chithira Thirunal Bala Rama Varma took the reign of management in 1931, witnessed multifaceted development. A branch for the renovation and guide of oriental manuscripts become additionally hooked up. D) ushered in an epoch of cultural development and monetary prosperity.

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