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 Tiruppur

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

  • 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 Tiruppur
Data Science Create data strategies with the help of team members and leaders. Identify and collect data from data sources. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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 Tiruppur. There are numerous reasons why you should take this course. 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. 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. 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. 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 Tiruppur. 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 Tiruppur

  • ProfessionalCourier | Location details: Avinashi - Tiruppur Rd, Padmavathipuram, Tiruppur, Tamil Nadu 641603, India | Classification: Courier service, Courier service | Visit Online: tpcindia.com | Contact Number (Helpline):
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  • DistrictIndustriesCentre | Location details: Anupparpalayam Pudur, Tiruppur, Tamil Nadu 641652, India | Classification: Industrial consultant, Industrial consultant | Visit Online: dictirupur.in | Contact Number (Helpline):
  • DHLExpress(India)Pvt.Ltd | Location details: Gandhi Nagar 60 Feet Rd, Thiyagi Palanisamy Nagar, Velampalayam, Tiruppur, Tamil Nadu 641603, India | Classification: Courier service, Courier service | Visit Online: dhl.co.in | Contact Number (Helpline): +91 421 661 0400
  • EcomExpress | Location details: Kannipiran Colony, Valipalayam, Tiruppur, Tamil Nadu 641602, India | Classification: Courier service, Courier service | Visit Online: ecomexpress.in | Contact Number (Helpline):
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  • Incepto Technologies - Website Designing & Software Development Company in Tirupur Address: Dharapuram Rd, MR Nagar, K N P Colony, Karattangkadu, Tiruppur, Tamil Nadu 641605 Phone: 097870 49870 , website:www.inceptotech.com/
  • Classified Web Designs Address: 21, Manis Tower, First Floor, Ganga Nagar, Near Bunglow Stop, 1st St Ganga Nagar, Ganga Nagar, Velliyankadu, Tiruppur, Tamil Nadu 641602 Phone: 095666 95598 , website:www.classifiedwebdesigns.com/
  • Athitya Soft Website Designing Web Hosting Address: Athitya Soft Web Design, 93, Kumaran Road, Opp. Townhall Building, Tiruppur, Tamil Nadu 641601 Phone: 0421 432 4305 , website:www.athityasoft.in/
  • AXN INFOTECH TALLY Address: #13, Dharapuram Main Road, Near Old Busstand, Tiruppur, Tamil Nadu 641604 Phone: 096773 99377 , website:www.axninfotech.in/
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 courses in Tiruppur
The poverty withinside the district is a hassle with a few grave dimension. The Sex-ratio of the district changed into 989 and Female literacy fee changed into 64. The district had 7 Polytechnics and 22 different establishments providing business competencies to pupil organization of 8310 to live to tell the tale in this 10 aggressive scenario. 14 percentage in number one grade and that changed into because of the excessive boys dropout. 43%. nine% which changed into almost 25% much less than Male participation. Dharapuram, Gudimangalam, Kangeyam, Pongalur and Tiruppur blocks had over 100 percentage GER. four,37,51,000. Agriculture labours contribution to general people in 2011 is 17% (216190/1273059) as compared to 23. Out of the full literacy fee, male literacy fee had grown from sixty seven percentage to 86 percentage however woman literacy had proven a tremendous alternate from forty six percentage to seventy two percentage increase among 2001 and 2011.

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