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 Kollam

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

  • 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 Kollam
Data Science A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. You may learn all of the skills and talents required to become a data scientist by enrolling in the top data science online courses in Kollam. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. Identify and collect data from data sources. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. There are numerous reasons why you should take this course. Create data strategies with the help of team members and leaders. To find trends and patterns, use algorithms and modules. 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.

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 Kollam

  • IndusMotors-TrueValue-Kollam | Location details: Indus Motors, Used Car Sales, NR CHANDANATHOP JN, Kollam, Kerala 691005, India | Classification: Used car dealer, Used car dealer | Visit Online: indususedcars.com | Contact Number (Helpline): +91 484 712 2648
  • ABCStudyLinks | Location details: ABC STUDY LINKS ,2nd FLOOR, PULIMATTATH BUILDING (AIR INDIA OFFICE BUILDING) RAMANCHIRA JUNCTION MUTHOOR P.O, THIRUVALLA, Kollam -Theni Hwy, Muthoor, Kerala 689 | Classification: Consultant, Consultant | Visit Online: abcstudylinks.com | Contact Number (Helpline): +91 469 263 3355
  • KollamSandwiches | Location details: MWRA 44, Beach Rd, Kochupilammood, Pallithottam, Thamarakulam, Kollam, Kerala 691001, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline): +91 99950 32941
  • CrownBakery | Location details: Lekshmi Nada Temple Rd, Jonaka Puram, Thangassery, Kollam, Kerala 691013, India | Classification: Bakery, Bakery | Visit Online: crownbakery.in | Contact Number (Helpline): +91 96450 23334
  • MARUTINEWCARSALESKOLLAM | Location details: Thattamala, Mylapure, Palathara, Kollam, Kerala 691020, India | Classification: Auto broker, Auto broker | Visit Online: popularmaruti.com | Contact Number (Helpline): +91 94974 62631
  • WebDesignInKerala | Location details: Upasana Nagar-1, Chinnakada, Kollam, Kerala 691001, India | Classification: Website designer, Website designer | Visit Online: webdesigninkerala.in | Contact Number (Helpline):
  • VodafoneStore | Location details: NR COLLECTORATE ,PALACE WARD, THEVALLY, P.O, Kollam, Kerala 691009, India | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: vodafone.in | Contact Number (Helpline):
  • JanAushadhiStore | Location details: Jan Aushadhi store Kottiyam, Kollam, Mayaanad road, Kottiyam, Kerala 691571, India | Classification: Public medical center, Public medical center | Visit Online: janaushadhi.org | Contact Number (Helpline): +91 97474 43811
  • SarathyTrueValueKollam | Location details: Madannada, Kollam, Kerala 691021, India | Classification: Car dealer, Car dealer | Visit Online: | Contact Number (Helpline): +91 99612 99565
  • CarCardiacCare(EngineDe-carbonation) | Location details: Kollam -Theni Hwy, Pallom, Kerala 686007, India | Classification: Car service, Car service | Visit Online: carcardiac.com | Contact Number (Helpline):
  • FREELANCEWEBDESIGNERKOLLAMKERALA | Location details: room no:3050, kala complex Opp. josco jewellery, chinnakkada kollam, Kollam, Kerala 691001, India | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline): +91 88938 89955
  • Vespa,Kollam. | Location details: Jovie Motors Private Limited, NH 47, 8/626, Afra Buildings, Pallimukku, Kollam, Kerala 691021, India | Classification: Motorcycle dealer, Motorcycle dealer | Visit Online: vespa.in | Contact Number (Helpline): +91 92077 27225
  • BismiGold(jewellery)kollam | Location details: Vadayattukotta Rd, Chinnakada, Kollam, Kerala 691001, India | Classification: Wholesale jeweler, Wholesale jeweler | Visit Online: | Contact Number (Helpline):
  • WebDesignKerala | Location details: Kollam, Karikode, T.K.M.C- P.O, Karicode, kollam, Kollam, Kerala 691005, India | Classification: Website designer, Website designer | Visit Online: webdesignkerala.org | Contact Number (Helpline): +91 94963 28904
  • JEEPKOLLAM | Location details: Contonment North, Pullikada, Chinnakada, Kollam, Kerala 691001, India | Classification: Car dealer, Car dealer | Visit Online: maps.google.co.in | Contact Number (Helpline): +91 99958 08106
  • KairaliFord | Location details: Raj Plaza, Bharanikavu - Kollam Rd, Kadapakkada, Kollam, Kerala 691019, India | Classification: Ford dealer, Ford dealer | Visit Online: dealer.india.ford.com | Contact Number (Helpline): +91 99306 20681
  • Thangal Kunju Musaliar College of Engineering Address: Karicode, NH 220, Kollam, Kerala 691005 Phone: 0474 271 2024, website: tkmce.ac.in
  • Career Tech MEP Training Institute Address: ground floor ,thekeeatathu building, Kundara, Kerala 691501 Phone: 0474 258 0555, website: www.careertechindia.com
  • Bishop Jerome Institute Address: Fatima College Internal Road, Jawahar Nagar, Karbala, Kollam, Kerala 691001 Phone: 0474 276 4053, website: www.bjgi.in
  • Innogreets Technologies Address: Kala Complex, Opp.Josco, Chinnakkada, Kollam, Kerala 691001 Phone: 082818 14127, website: www.innogreets.com
  • JK ADS Address: Janardhana Complex, Sree Kollam, Residency Rd, Chamkkada, Kollam, Kerala 691001 Phone: 0474 276 7114, website: www.jkads.co.in
 courses in Kollam
Being South West coast of India District lies among North range nine zero 10` and eighty 45` and East longitude seventy six zero 25` and seventy seven zero 15`. District has one in every of the biggest farm animals inventory populace and there had been 255773 stay inventory populace and 766412 hen populace at some stage in 2010-eleven Animal husbandry reports. Having loads of running cashew factories withinside the district, Kollam nevertheless remains the biggest processed cashew exporter in India. After February 1990, the names of the district and its headquarters city were modified to Malayalam version `Kollam`. The monsoon falls from June to September. Many IT software companies are working in Kollam, Nest soft is on hand for these corporations as it requires IT services. The kollam Technopark is part of Technopark, Trivandrum constructed on the hub and spoke version for the improvement of information generation industry in Kerala. The town is graced via way of means of seashores in which humans visit spend quiet evenings. There had been 12 taluks in Quilon district, which had been Quilon, Kottarakkara, Pathanapuram, Chencottah, Kunnathur, Pathanamthitta, Karthikappally, Karunagappally, Mavelikkara, Thiruvalla, Ambalappuzha and Chertallai. Based on physiographical functions district consist 4 micro areas viz Kollam coast, Adoor Rolling plain, Kottarakkara undulating upland and Kulathupuzha forested hills.

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