Data Science Online Live Classes 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 Data Science Syllabus
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 jobs in Trivandrum

Data Science Internship/Course Details

Data Science This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. Effectively analyze both organized and unstructured data Create strategies to address company issues. Create data strategies with the help of team members and leaders. 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. Experts provide immersive online instructor-led seminars. To find trends and patterns, use algorithms and modules. 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. 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. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights.

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 Trivandrum

  • MG-Trivandrum | Location details: Pothen Wheels Private Limited KJ Square, TC -55/719/1, Kaimanam, Karamana, Thiruvananthapuram, Kerala 695040, India | Classification: Auto broker, Auto broker | Visit Online: mgtrivandrum.co.in | Contact Number (Helpline): +91 1800 100 6464
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  • HPLaptopServiceCenterTrivandrum | Location details: Shyla Complex, TC 7/1982-6 1st Floor, Thiruvananthapuram - Neyyar Dam Rd, near SK Hospital, Edapazhanji, Thiruvananthapuram, Kerala 695006, India | Classification: Computer service, Computer service | Visit Online: business.site | Contact Number (Helpline):
  • GROWCentrePwD,Trivandrum | Location details: Sree Matra' , SRA-7, Ground floor, S V Vilas Compound, near Catholic Syrian Bank, Nalanchira, Main Gate, Thiruvananthapuram, Kerala 695015, India | Classification: Training centre , Training centre | Visit Online: grow.org.in | Contact Number (Helpline): +91 79943 33007
  • UdiyanoorCabsTaxiServiceTrivandrum | Location details: Santhi Bhavan, TC 7/1075, kootanvila road, maruthankuzhy, Thiruvananthapuram, Kerala 695013, India | Classification: Taxi service, Taxi service | Visit Online: | Contact Number (Helpline): +91 94957 22336
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  • ServicemanServiceCentre-AcInstallation/AcRepair/AcService/FridgeService | Location details: No: 40, Sona Complex Trivandrum Road, Near VOC Ground, Palayamkottai, Tirunelveli, Tamil Nadu 627002, India | Classification: Air conditioning repair service, Air conditioning repair service | Visit Online: | Contact Number (Helpline): +91 97874 71454
  • PKSBuildersInTrivandrum | Location details: TC 7/1063(1),VRA 176 Vettamukku Vattiyoorkavu,Thiruvanathapuram,, thiruvanathapuram, Kerala 695013, India | Classification: Home builder consultant architect civil engineering construction structured building builders, Home builder consultant architect civil engineering construction structured building builders | Visit Online: | Contact Number (Helpline): +91 99959 86848
  • KalyanDevelopers|BuildersInTrivandrum|FlatsInTrivandrum | Location details: Pandits Colony Extension, Kowdiar, Thiruvananthapuram, Kerala 695003, India | Classification: Construction company consultant architect civil engineering construction structured building builders, Construction company consultant architect civil engineering construction structured building builders | Visit Online: kalyandevelopers.com | Contact Number (Helpline): +91 99467 85555
  • Infocircles Technology Solutions Address: 6th Floor, Axis Towers, Opp.SBI Head Office, SS Kovil Rd, Overbridge, Santhi Nagar, Thampanoor, Thiruvananthapuram, Kerala 695001 Phone: 099958 66430, website:www.tofler.in/infocircles-technology-solutions.../U72900KL2..
  • Inzpira Address: JRA 155, C.S Road, Jagathy, Thiruvananthapuram, Kerala 695014 Phone: 0471 485 1132, website:www.inzpira.in
  • Naga Info Solutions Pvt. Ltd. Address: Naga Building, Plot No.33, PTP Nagar, Thiruvananthapuram, Kerala 695038 contact: 0471 236 9166, website:nagainfo.com
  • White Oval Technologies Private Limited Address: THEJASWNI, Technopark,, Technopark Campus, Kazhakkottam, Thiruvananthapuram, Kerala 695581 Phone: 099950 50315, website:whiteovaltechnologies.com
  • Prayan Infotech Address: Thejaswini, B-12, block -1, Thiruvananthapuram, Kerala 695581 contact:0471 406 7605, website:prayaninfotech.in
 courses in Trivandrum
The district is a part of South Kerala coast and is divided into 3 submicroregions. km including eleven blocks, 4 municipalities and one corporation. The first famous Ministry headed through Sree Pattom Thanu Pillai become mounted in workplace on March 24, 1948. Almost all of the inscriptions and sculptures are discovered withinside the diverse temples placed withinside the District. synchronized with the emergence of the rulers of Venad. This is the primary town alongside the course of the South-West monsoon. The soil of the district is typically categorized as alluvial, peaty and laterite. - 1 - Thiruvananthapuram, the capital of Kerala State and the District head quarters got here into lifestyles because of linguistic Reorganisation of States at the 1st November, 1956. The well-known ee-e book of `Periplus of Erythrean Sea` point out approximately Varkala Hills. D) ushered in an epoch of cultural development and monetary prosperity.

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