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
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Data Science Jobs in Varanasi

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

  • 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 Varanasi
Data Science You'll have a personal mentor who will keep track of your development. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. 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. Experts provide immersive online instructor-led seminars. 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. Identify and collect data from data sources. 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. There are numerous reasons why you should take this course.

List of All Courses & Internship by TechnoMaster

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List of Training Institutes / Companies in Varanasi

  • 18Pixels | Location details: 18Pixels(A Division of C2 Technologies), Luxa Road, Varanasi, Uttar Pradesh 221005, India | Classification: Website designer, Website designer | Visit Online: 18pixels.com | Contact Number (Helpline): +91 96489 03217
  • DigitalMartLab-WebsiteDesigningSocialMediaMarketing | Location details: Mahmoorganj, Varanasi, Varanasi, Uttar Pradesh 221010, India | Classification: Internet marketing service, Internet marketing service | Visit Online: digitalmartlab.com | Contact Number (Helpline): +91 91614 44119
  • DIGITALMARTLAB | Location details: D 59/143 A-4, Sant Raghuvar Nagar, Sigra, Varanasi, Uttar Pradesh 221010, India | Classification: Website designer, Website designer | Visit Online: digitalmartlab.com | Contact Number (Helpline): +91 91614 44119
  • FirstFlightCourier | Location details: Gorakhpur Varanasi Marg, Karmaini, Civil Lines, Azamgarh, Uttar Pradesh 276001, India | Classification: Courier service, Courier service | Visit Online: | Contact Number (Helpline): +91 5462 246 904
  • DigitalMartLab | Location details: Sigra, Varanasi, Uttar Pradesh 221010, India | Classification: Internet marketing service, Internet marketing service | Visit Online: digitalmartlab.com | Contact Number (Helpline): +91 91614 44119
  • IIHTVaranasi | Location details: 5/3, Labour Colony Rd, Sanjay Ghandhi Nagar Colony, Jaitpura, Varanasi, Uttar Pradesh 221001, India | Classification: Training centre , Training centre | Visit Online: iiht.com | Contact Number (Helpline): +91 1800 123 3215
  • RahiTouristBungalow,Ghazipur | Location details: N.H. 29 Chhavani Line, Varanasi - Gorakhpur Highway, Ghazipur, Uttar Pradesh 233001, India | Classification: Hotel, Hotel | Visit Online: uptourism.gov.in | Contact Number (Helpline):
  • E-ShanTechnology | Location details: Azamgarh - Varanasi Marg, Rani Ki Sarai, Uttar Pradesh 276207, India | Classification: Computer repair service, Computer repair service | Visit Online: | Contact Number (Helpline): +91 96219 02767
  • SEOCompanyVaranasiWebsiteDesignServices | Location details: Kapoor Complex, Nadesar Rd, Nadesar, Chaukaghat, Varanasi, Uttar Pradesh 221002, India | Classification: Website designer, Website designer | Visit Online: digitalmartlab.com | Contact Number (Helpline):
  • UnitedBankOfIndia | Location details: City Towers, Near Maihar Devi Mandir, Lucknow Varanasi Road, Jaunpur, Uttar Pradesh 222001, India | Classification: Bank, Bank | Visit Online: unitedbankofindia.com | Contact Number (Helpline): +91 5452 220 210
  • AITSWebDesignersAndDevelopers | Location details: Bhagwan Das Colony,, Sigra,, Varanasi, Uttar Pradesh 220101, India | Classification: Website designer, Website designer | Visit Online: amritaz.com | Contact Number (Helpline): +91 98389 91199
  • ShivamITSolution,Varanasi(Website,App,SEO&GraphicDesigning) | Location details: B-21/117, Plot No.-19, Kamachha Rd, Mahavir Colony, Varanasi, Uttar Pradesh 221010, India | Classification: Software company, Software company | Visit Online: shivamitsolution.com | Contact Number (Helpline): +91 89209 76591
  • AmritazITSolutionsPrivateLimited(AITS) | Location details: B-5, Kasturba Nagar, Colony, Sigra, Varanasi, Uttar Pradesh 221010, India | Classification: Software company, Software company | Visit Online: amritaz.com | Contact Number (Helpline): +91 88969 92400
  • MARUTISUZUKIARENAGHAZIPURAGRAUTOMOBILES | Location details: Varanasi - Gorakhpur Hwy, Tulsipur, Ghazipur, Uttar Pradesh 233001, India | Classification: Car dealer, Car dealer | Visit Online: marutisuzuki.com | Contact Number (Helpline): +91 542 236 1136
 courses in Varanasi
. Here alongside the river humans dry clothes, make dung patties and stick them in opposition to the partitions and steps of the ghats to dry` for fuel, or simply take a seat down and watch lifestyles as it passes through. It stuck us in its silken net of tune, rituals and folklore. While different towns in India are inquisitive about modernizing, Varanasi is inquisitive about retaining tradition- and it has. Here, one sees how humans have placed the whole thing into blind religion; how, regularly deserted through society and gov- ernment, humans renew their perception withinside the first and last top notch hope. People paintings difficult in Varanasi however with out the experience of bitterness, despair, trouble that one feels in different towns of the equal size. Vara- nasi forged its spell on us, and lured us into its palace of myths, legends, and beliefs. " We knew we needed to come. I most effective went due to the fact I needed to; I had promised my mom I might sprinkle her ashes withinside the Ganga, so I did and simply dipped my toe withinside the river to meet my promise to her. Varanasi is the house of sadhus and saints, pundits and pilgrims, yogis and "bogeys.

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