Data Science Training by Industry 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.

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Data Science Jobs in Cochin

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

  • 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 Cochin

Data Science Internship/Course Details

Data Science There are numerous reasons why you should take this course.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. 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 Cochin. You'll have a personal mentor who will keep track of your development. Create data strategies with the help of team members and leaders. 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. 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 Cochin. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages.

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 Cochin

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  • Cochin Emergency Ambulance Service | Address: Edathottil Building, Karakkat Rd, Ernakulam South, Kochi, Kerala 682016, India | Category: Ambulance service, Ambulance service | Website: | Contact Details: +91 98952 61141
  • Web Design Company - Cochin | Address: 2nd Floor, Vasthuvelil, P C Cross Rd, Chalikkavattom, Ernakulam, Kerala 682019, India | Category: Website designer, Website designer | Website: | Contact Details:
  • Dr A Laxminarayana (Aquaculture Consultant ) | Address: Samudra, PRA 82, Elamakkara, Ernakulam, Cochin - 682026, Kerala,, Kochi, Kerala 682026, India | Category: Aquaculture farm, Aquaculture farm | Website: dralaxminarayana.com | Contact Details: +91 99618 88067
  • Advenser - BIM Services | Address: 43 A, E Block, Cochin Special Economic Zone (CSEZ), Kakkanad, Kochi, Kerala 682037, India | Category: Engineering consultant, Engineering consultant | Website: advenser.com | Contact Details: +91 484 298 8448
  • Maria Management Services | Address: 4th Floor, Maria arcade ​Chathangattu Road,​ Palarivattom ​ Cochin – 25, Kochi, Kerala 682025, India | Category: Consultant, Consultant | Website: mariamanagement.com | Contact Details: +91 484 430 0145
  • Cochin Car Rentals | Address: No.2, Haritha, Kaithodu Road, Samskara Junction Pipeline, Palarivattom, Kochi, Kerala 682025, India | Category: Car leasing service, Car leasing service | Website: cochincarrentals.in | Contact Details:
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  • Cochin International Airport | Address: Airport Rd, Kochi, Kerala 683111, India | Category: Airport, Airport | Website: cial.aero | Contact Details: +91 484 261 0115
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  • Model Engineering College Volleyball Court Address: Karimakkad, Thrikkakara, Ernakulam, Kochi, Kerala 682021 Phone: 0484 257 7379,website: www.mec.ac.in/mec/sports.php
  • IndiaOptions Softwares Address: Deshabimani Bus Stop, Kaloor, Kochi, Kerala 682017 Phone: 0484 272 5500,website:indiaoptions.in
  • Seo/Digital Marketing Companies in Cochin

    1. HATCHEX Digital Marketing & SEO Address: Second Floor, SAFA Square (po) Ernakulam, SRM Road, Kaloor, Kochi, Kerala 682018 Phone: 0484 406 1413,website:hatchex.com
    2. mediastudio Address: shineroad, vyttila, Kochi, Kerala 682019 mobile: 098460 16370,website:mediastudio.in
 courses in Cochin
The state government has given precedence to the establishment of IT and BPO companies to exploit the opportunities that have arisen in the field, The Government promoted InfoPark is domestic to various IT Companies. Called as the Queen of the Arabian Sea, Kochi used to be an important spice buying and selling center on the west coast of India from the 14th century onward, and maintained an exchange network with Arab merchants from the per-Islamic era. The Hi-tech campus known as ‘Smart City SEZ’, The presence of InfoPark, SmartCity, KINFRA Park, etc. Foreign and domestic organizations established their branches consisting of IT Companies which formed in Kochi itself.

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