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
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Data Science Jobs in Kasaragod

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

  • 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 Kasaragod
Data Science 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 highly skilled someone with advanced mathematical, statistical, scientific, analytical, and technical abilities who can prepare, clean, and validate organized and unstructured data for industries to utilize in making better decisions. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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 curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. Experts provide immersive online instructor-led seminars. There are numerous reasons why you should take this course. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. Cleaning and validating data to ensure that it is accurate and consistent.

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 Kasaragod

  • 4TechSolutions|WebDevelopment|WebDesigning|SEOServices-Kasaragod,Kerala | Location details: SMS Centre, 2nd, Nayaks Rd, Kasaragod, Kerala 671121, India | Classification: Internet marketing service, Internet marketing service | Visit Online: 4techsolutions.business.site | Contact Number (Helpline): +91 98463 44513
  • SoubhagyaLotteryAgenciesKasaragod | Location details: MG Rd, Thayalangadi, Kasaragod, Kerala 671121, India | Classification: Lottery retailer, Lottery retailer | Visit Online: | Contact Number (Helpline): +91 96058 65910
  • BusthanFlorist | Location details: Kasaragod, Kerala 671121, India | Classification: Florist, Florist | Visit Online: | Contact Number (Helpline):
  • KeralaAyurvedaPharmacy | Location details: Railway Station Road, Thayalangadi, Kasaragod, Kerala 671123, India | Classification: Pharmacy, Pharmacy | Visit Online: keralaayurveda.biz | Contact Number (Helpline):
  • MSBAKERY. | Location details: Choori, Kasaragod, Kerala 671121, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline): +91 4994 223 366
  • MadhuLotteries | Location details: KSRTC Thulunad Shopping Complex, KPR Rao Rd, Thayalangadi, Kasaragod, Kerala 671121, India | Classification: Lottery retailer, Lottery retailer | Visit Online: | Contact Number (Helpline):
  • LAPTECHCOMPUTER | Location details: Prestige Building old press club junction, Kasaragod, Kerala 671121, India | Classification: Computer service, Computer service | Visit Online: laptech-computer.business.site | Contact Number (Helpline): +91 95443 85068
  • FreelanceWebDesigner | Location details: New Busstand, Kasaragod, Kerala 671121, India | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline):
  • JustBakeKasaragod | Location details: Fathima Arcade Opposite New Bus Stand, NH 66, Kasaragod, Kerala 671121, India | Classification: Bakery, Bakery | Visit Online: justbake.in | Contact Number (Helpline): +91 93882 22282
  • CochinBakery | Location details: Kasaragod, Kerala 671123, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline):
  • TopsBakery | Location details: Chandragiri Jn, Kasaragod-Kanhangad Chandragiri Road, Kasaragod, Kerala 671121, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline):
  • IkkasBakery | Location details: Kasaragod, Kerala 671123, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline): +91 4994 220 077
  • KasargodEmiratesGOLDInternational | Location details: Trade Centre, Thalangara, Kasaragod, Kerala 671121, India | Classification: Jeweler, Jeweler | Visit Online: | Contact Number (Helpline):
  • MilanoBakesKasargod | Location details: Sanjeevani Arcade, Bank road, Kasaragod, Kerala 671121, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline): +91 98951 00797
  • BadriaBazar | Location details: Market, M.g Road, Kasaragod, Kerala 671121, India | Classification: Market, Market | Visit Online: | Contact Number (Helpline): +91 98951 78796
  • FORDKASARAGOD | Location details: Kasaragod, Kerala 671123, India | Classification: Ford dealer, Ford dealer | Visit Online: india.ford.com | Contact Number (Helpline):
  • Jugatus Technologies Address: Shoba Archade,First floor, Ashwini Nagar, Kasaragod, Kerala 671121 Phone: 094959 76255, website:konzerntech.com
  • DezignFactory Address: High Lane Plaza, M.G Road, Kasaragod, Kerala 671121 Phone: 094960 04000, website:www.justdial.com/Kasaragod/Dezign-Factory...
  • EXPAND Multimedia&Webtechnologies Address: 2nd Floor,Silver Arcade Building, MG Rd, Kasaragod, Kerala 671121 Phone: 090619 07555, website:www.justdial.com/Kasaragod/EXPAND
  • North Malabar Institute of Technology Address: Karakode-Parakkalayi Rd, Kasaragod, Kerala 671531 Phone: 0467 398 3000, website:www.nmitkerala.ac.in
  • Texonich Address: Kasaragod, Kerala 671123 Phone: 096334 75850, website:www.texonich.com
 courses in Kasaragod
Vengayil Kunhiraman Nayanar moved a decision in 1913 at the ground of Madras Governor`s Council worrying the merger of Kasai agod Taluk with the Malabar district, it needed to be withdrawn due to the stiff competition of the memlpers from Karnataka. They persisted to l^e the rulers until the very last fall of the Vijayanagar empire in sixteenth century. In the plains the weather is geneially hot. Lying at the west coast of the country Kasaragod became well-known from time immemorial. Tlie Purdlia system, is determined greater strictly right here through Muslim ladies than in any elements of the State. In 1645 Sivappa Naik took the reins and transferred the capital to Bednoor. s . Thiyyas of the district are referred to as Belichappad withinside the northern elements of the district. Chandragiri citadelress and Bekkal citadelress are ccmsidered to be elements of a sequence of forts built through Sivappa Naik for the defence of the country. The wooded area produces are shegaibark, Sheakoy, Cardamom, Canes, fibres, etc.

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