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 Palakkad

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

  • 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 Palakkad
Data Science . To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. The top Data Science course online for professionals who wish to expand their knowledge base and start a career in this industry is NESTSOFT in Palakkad. 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. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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. 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. Effectively analyze both organized and unstructured data Create strategies to address company issues.

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 Palakkad

  • GrandHyundai | Location details: 2nd Mile, Palakkad - Ponnani Rd, Kallekkad, Palakkad, Kerala 678006, India | Classification: Hyundai dealer, Hyundai dealer | Visit Online: grand.hyundaimotor.in | Contact Number (Helpline): +91 86069 69512
  • PopularMaruti | Location details: Palakkad, Ramanattukara, Kerala 673632, India | Classification: Car dealer, Car dealer | Visit Online: popularmaruti.com | Contact Number (Helpline): +91 484 234 1134
  • TheMagikOven | Location details: Stadium Bypass Rd, Selvapalayam, Palakkad, Kerala 678013, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline): +91 491 250 4260
  • SangamamWebDesigningCentre | Location details: Binshi Building, Kalmandapam Jn, Coimbatoure Road, Palakkad, Kerala 678001, India | Classification: Website designer, Website designer | Visit Online: palakkadwebs.com | Contact Number (Helpline): +91 94470 45780
  • CycleMediaWebDesigning | Location details: Koppam, Palakkad, Kerala 679307, India | Classification: Website designer, Website designer | Visit Online: cyclemedia.host | Contact Number (Helpline): +91 95399 08292
  • DubaiGoldAndDiamonds | Location details: Kozhikode - Palakkad Hwy, Down Hill, Malappuram, Kerala 676505, India | Classification: Jeweler, Jeweler | Visit Online: dubaigoldanddiamonds.com | Contact Number (Helpline): +91 483 273 5916
  • PopularHyundai-Kozhikode | Location details: Kozhikode-Palakkad Hwy, Road, Opposite Reliance Petrol Pump, Areekkad, Kozhikode, Kerala 673027, India | Classification: Hyundai dealer, Hyundai dealer | Visit Online: popularhyundai.com | Contact Number (Helpline): +91 73564 04222
  • BesselInfoTechSolutionsPvtLtd | Location details: Priyadarshini Rd, Parakkunnam, Sultanpet, Palakkad, Kerala 678001, India | Classification: Website designer, Website designer | Visit Online: techbessel.com | Contact Number (Helpline): +91 70252 60601
  • IndusMotors-MarutiSuzukiUsedCars | Location details: 7/560, Coimbatore Rd, Chandranagar Colony, Palakkad, Kerala 678007, India | Classification: Used car dealer, Used car dealer | Visit Online: indususedcars.com | Contact Number (Helpline): +91 484 712 2622
  • StayloginWebsiteDesignerPalakkad | Location details: Ground floor,Ganga tower, Robinson road, Opp sayoojyam residency, Palakkad, Kerala 678001, India | Classification: Website designer, Website designer | Visit Online: staylogin.com | Contact Number (Helpline): +91 96333 64337
  • JanAushadhiStore | Location details: Thayilpatti, Kenathuparambu, Kunathurmedu, Palakkad, Kerala 678001, India | Classification: Pharmacy, Pharmacy | Visit Online: | Contact Number (Helpline): +91 95397 00732
  • MahindraFirstChoiceWheelsLimited-SincereMotors | Location details: Sincere Motors, Nottammala, NH 213, Viyyakkurussi(p.O), Mannarkkad,, Palakkad Highway, Palakkad, Kerala 678582, India | Classification: Used car dealer, Used car dealer | Visit Online: mahindrafirstchoice.com | Contact Number (Helpline): +91 85903 77567
  • ExistorsWebSolutions | Location details: 1st Floor, HMT Building, PO, Nurani, Palakkad, Kerala 678004, India | Classification: Website designer, Website designer | Visit Online: existors.com | Contact Number (Helpline): +91 491 252 2888
  • JanAushadhiStore | Location details: College Rd, near Head Post Office, Koppam, Palakkad, Kerala 678014, India | Classification: Pharmacy, Pharmacy | Visit Online: janaushadhi.gov.in | Contact Number (Helpline):
  • CybervillaWebStudioThrikkaderi | Location details: JAiHA Complex, Cybervilla Park, Palakkad, Kerala 679502, India | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline): +91 97446 65935
  • PopularVehicles&ServicesPvtLtd | Location details: Near Vydyar Smarakam, Calicut Road, Kozhikode - Palakkad Hwy, Kondotty, Kerala 673638, India | Classification: Motor vehicle dealer, Motor vehicle dealer | Visit Online: popularmaruti.com | Contact Number (Helpline): +91 80860 78677
  • Sangamam Web Designing Centre Address: Binshi Building, Kalmandapam Jn, Coimbatoure Road, Palakkad, Kerala 678001 Phone: 094470 45780, website: sangamam.co.in
  • Government Engineering College, Sreekrishnapuram Address: Mannampatta, Government Engineering College Rd, Sreekrishnapuram, Kerala 679513 Phone: 0466 226 0350, website: gecskp.ac.in
  • IRTC - Integrated Rural Technology Centre Address: Mundur, Palakkad, Kerala 678592 Phone: 0491 283 2663, website:www.irtc.org.in
  • Existors Web Solutions Address: 1st Floor, HMT Building, Nurani , Palakkad, Palakkad, Kerala 678004 Phone: 0491 252 2888 , website:www.existors.com
  • Seo/Digital Marketing Companies in Wayanad

    1. IndexRise Web Services Address: 1st Floor, Prasanna Complex, Sheshadri Nagar, Koppam, Puthur Rd, Palakkad, Kerala 678001 Phone: 098464 58551 , website:www.facebook.com/indexrise
 courses in Palakkad
The reassets of secondary facts encompass posted facts which include books, Journals and net reassets. There changed into floor withinside the citadelress, which served as solid for the horses and elephants of Tipu sultan`s military in historic times. Objectives of the Study:  To recognize approximately the information of Tipu`s Fort in Palakkad District  To Know the aggregate of British and Mysorean Architecture withinside the Fort. , and speaks approximately the tale of Mysore Kings and British rule. It changed into then become a prison in 1877 while the Cannanore and different jails commenced getting overcrowded. After this event, a French engineer commenced the development of Palakkad citadelress in 1757 as per Hyder`s instruction. Zamorin kings didn`t like KomuAchan who have become as an independent ruler. Palakkad changed into known as as `Palakkattuchery` in in advance times. Palakkad is one of the fourteen districts of Kerala.  To Know the Structure of the Fort Methodology: This look at has taken reassets from current number one and secondary reassets.

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