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
10000+
20+
50+
25+

Data Science Jobs in Kannur

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

  • 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 Kannur
Data Science You'll have a personal mentor who will keep track of your development. Identify and collect data from data sources. 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. Creative thinking, problem-solving skills, curiosity, and a drive to learn about and investigate industry trends and development, as well as teamwork, are among the soft skills required by data scientists. 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. Cleaning and validating data to ensure that it is accurate and consistent. 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.

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 Kannur

  • SheenConfectionery | Location details: 2, Opposite, Railway Station Rd, Kannur, Kerala 670001, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline): +91 497 270 3030
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  • AdithyaHonda-Sales | Location details: Ground Floor Diamond Plaza Kannur Road Near Canara Bank, Nadakkave, Kozhikode, Kerala 673011, India | Classification: Motorcycle dealer, Motorcycle dealer | Visit Online: honda2wheelersindia.com | Contact Number (Helpline): +91 88932 21101
  • DrishtiOpticians | Location details: Thavakkara Road, Opp.RTO, Kannur, Kerala 670002, India | Classification: Optician, Optician | Visit Online: drishti.business.site | Contact Number (Helpline): +91 99958 89778
  • LegendsJawaKannur | Location details: Chettipedika, Pallikkunnu, Kannur, Kerala 670004, India | Classification: Motorcycle dealer, Motorcycle dealer | Visit Online: legendsjawa.com | Contact Number (Helpline): +91 92077 00330
  • KannurPostOffice(mangaluru) | Location details: Padil, Kannur, Mangalore, Karnataka 575007, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • HONDACARSCALICUT | Location details: West Hill Chungam, Kannur Rd, East Hill, Kozhikode, Kerala 673005, India | Classification: Car dealer, Car dealer | Visit Online: hondacarindia.com | Contact Number (Helpline):
  • ISRFCALICUT | Location details: ISRF, Maharaja Building, Kannur Rd, Near Choisons Petrol Pump, West Nadakkave, Vandipetta, Bilathikkulam, Kozhikode, Kerala 673004, India | Classification: Training centre , Training centre | Visit Online: | Contact Number (Helpline):
  • BlueFoxSystems | Location details: Casa Marina Complex, Talap, Kannur, Kerala 670004, India | Classification: Software company, Software company | Visit Online: bluefoxsystems.net | Contact Number (Helpline): +91 497 276 1096
  • IndianCoffeeHouse | Location details: Caltex Junction, S Bazaar - Kannothumchal Rd, Kannur, Kerala 670002, India | Classification: South Indian restaurant, South Indian restaurant | Visit Online: indiancoffeehousekannur.com | Contact Number (Helpline): +91 497 276 5213
  • BananaChipsCalicut | Location details: 673006, Kannur Rd, near bismi applinces, West Nadakkave, Vandipetta, Vellayil, Kozhikode, Kerala 673006, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline):
  • Bizotic | Location details: Campus Zone Building, near Kannur University Campus, Dharmasala, Kerala, India | Classification: Software company, Software company | Visit Online: bizotic.co.in | Contact Number (Helpline): +91 90207 20666
  • AryaVaidyaPharmacy(Ayurveda) | Location details: SN Park Rd, Kannur, Kerala 670001, India | Classification: Pharmacy, Pharmacy | Visit Online: | Contact Number (Helpline):
  • KannurParcelService | Location details: Kalluthankadavu, Puthiyapalam Road, Near Juma Masjid, Puthiyapalam Junction, Palayam, Kozhikode, Kerala 673002, India | Classification: Courier service, Courier service | Visit Online: | Contact Number (Helpline): +91 98950 89323
  • BrownniesBakery | Location details: NH 66, Talap, Kannur, Kerala 670002, India | Classification: Bakery, Bakery | Visit Online: m.facebook.com | Contact Number (Helpline): +91 497 270 8580
  • AmruthamAryavaidyaPharmacy | Location details: Nursing Home & Panchakarma Unit, Gokhale Rd, Kannur, Kerala 670001, India | Classification: Medical spa, Medical spa | Visit Online: amruthamaryavaidya.in | Contact Number (Helpline): +91 497 276 3888
  • Gladia Systems Address: Casamarina Complex 3 rd Floor, B Block, Kannur, Kerala 670004 Phone: 094465 61111, website: www.gladiasystems.com
  • Webboxdevelopers Address: Thayatheru, Thana, Kannur, Kerala 670012 Phone: 099619 54754 , website:www.webboxdevelopers.com
  • AVCOSYS Technologies Address: 2nd Floor,Lakshmi Complex,Near Koyili Hospital,, Talap, Kannur, Kerala 670004 Phone: 094001 26777, website: avcosys.com
  • Aditive Ads Address: 2nd Floor, Delta Tower, Panvel - Kochi - Kanyakumari Hwy, Thana, Kannur, Kerala 670012 Phone: 085472 10230, website:www.facebook.com/aditiveads
 courses in Kannur
This is a place of severe agricultural activity. ” Romans despatched ordinary fleets from the Red Sea to change for spices like Black Pepper, Turmeric and Cinnamon. Odathil Mosque at Dharmapatnam is over 200 years old. Timber bushes like teak, veetty, and so forth are grown in lots on this area. Proof of this may be visible withinside the his- torical homes and non secular monuments constructed as a sworn statement to the patronage of limitless traffic at the shoreline of North Kerala primar- ily Kozhikode and Kannur. ” Fahin, the Buddhist pilgrim and Ibn Batuta, three creator and historian of Tangiers were traffic to this area, way to its particular shoreline (Mahdi, 1976). This is a area of coconut and paddy cultivation The mountains are a continuation of the midland[ area, gradually ascending to the primary ridge of the Western Ghats. Mosques, temples, church buildings and facilities of getting to know dot the panorama of Kannur, constructed through the traffic to this coast at specific time periods. It has been stated through Rashiduddin in his “Ja `mu `ut Towarik withinside the beginning of the 14th century. Legend is going thus far as to mention that the ships of Solomon anchored alongside the shoreline of this stunning seascape to acquire wooden to build “the temple of the Lord.

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