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 Gurgaon

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

  • 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 Gurgaon
Data Science 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. Identify and collect data from data sources. There are numerous reasons why you should take this course. To find trends and patterns, use algorithms and modules. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. . 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. 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 Gurgaon. 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 Gurgaon

  • ADMBusinessAdvisoryLLP,IncomeTax&GSTConsultantsInGurgaon | Location details: Ground Floor 1248, Block N, Mayfield Garden, Sector 51, Gurugram, Haryana 122018, India | Classification: Certified public accountant, Certified public accountant | Visit Online: business.site | Contact Number (Helpline):
  • ElDoradoConsultantsPvt.Ltd. | Location details: 217 & 218, Vipul Agora, Mehrauli-Gurgaon Rd, Gurugram, Haryana 122002, India | Classification: Consultant, Consultant | Visit Online: | Contact Number (Helpline): +91 124 454 1551
  • FancyDressStoreByDivaaz,SohnaRoad,Gurgaon | Location details: H-1702, JMD Gardens, Subhash Chowk, Sohna Rd, Sector 33, Gurugram, Haryana 122018, India | Classification: Costume rental service, Costume rental service | Visit Online: | Contact Number (Helpline): +91 99710 78880
  • CAMSGurgaonOffice | Location details: SCO 16 First Floor, Sector 14, Gurugram, Haryana 122001, India | Classification: Investment service, Investment service | Visit Online: camsonline.com | Contact Number (Helpline): +91 124 404 8022
  • GurgaonTaxConsultant | Location details: Office No.- 52, Laxmi Bazar Complex, Madanpuri Rd, Pratap Nagar, Sector 8, Gurugram, Haryana 122006, India | Classification: Tax preparation service, Tax preparation service | Visit Online: | Contact Number (Helpline): +91 99539 93848
  • VDoITTechnologiesPrivateLimited | Location details: Tower A, Spaze iTech Park, 221, Tower-A, 2nd floor, Sohna - Gurgaon Rd, Sector 49, Gurugram, Haryana 122018, India | Classification: Software company, Software company | Visit Online: vdoit.in | Contact Number (Helpline): +91 88006 65460
  • NakulAnand:WebDesignAndDevelopmentCompanyDelhi-NCR,Gurgaon,Noida,Faridabad | Location details: 1527 Chandrawal Road, Near clock tower, Delhi, 110007, India | Classification: Website designer, Website designer | Visit Online: nakulanand.com | Contact Number (Helpline): +91 98730 38498
  • BrainworkTechnologies-DigitalMarketingCompanyInDelhi|SEOServiceInIndia|SocialMediaInGurgaon | Location details: 70A/18, Third Floor, Rama Road Industrial Area Opposite Kirti Nagar Metro Station, New Delhi, Delhi 110015, India | Classification: Internet marketing service, Internet marketing service | Visit Online: brainworkindia.net | Contact Number (Helpline): +91 95827 71373
  • ACCOUNTANTINGURGAON | Location details: 878/27-C, Street Number 10, NEAR GURUDWARA, Phase 2, Madanpuri, Sector 7, Gurugram, Haryana 122001, India | Classification: Accountant, Accountant | Visit Online: lakshmiassociates.in | Contact Number (Helpline):
  • ManojMishra-SEOFreelancerInDelhi,Gurgaon,Noida-DigitalMarketingServices | Location details: WZ-1295, Nangal Raya, Janakpuri, New Delhi, Delhi 110046, India | Classification: Internet marketing service, Internet marketing service | Visit Online: business.site | Contact Number (Helpline):
  • Gulab | Location details: #77, Mehrauli-Gurgaon Rd, near OM Sweets, Huda Market, Sector 14, Gurugram, Haryana 122001, India | Classification: South Indian restaurant, South Indian restaurant | Visit Online: gulabwala.co.in | Contact Number (Helpline): +91 124 407 4700
  • ImmigrationConsultantsAndVisaAgentsInGurgaon|Y-Axis | Location details: Ground Floor, Tower A, 10, adjacent to Subway Building, DLF Cyber City, DLF Phase 2, Sector 24, Gurugram, Haryana 122002, India | Classification: Visa consultant, Visa consultant | Visit Online: y-axis.com | Contact Number (Helpline): +91 76708 00000
  • WebDesignWalla-WebsiteDesigningCompanyInGurgaon | Location details: 351, Sector 9A, Gurugram, Haryana 122001, India | Classification: Website designer, Website designer | Visit Online: webdesignwalla.com | Contact Number (Helpline): +91 99909 43339
  • GST&IncomeTaxConsultant,Reg.GSTPractitionerInDelhi,DelhiNCRGurgaonGhaziabadNoida | Location details: Durgesh Kumar Gupta C/o Naresh Pal Singh Raghav Teekli Road, Badshahpur Police Station, Sector 68, Badshahpur, Gurugram, Haryana 122103, India | Classification: Tax consultant, Tax consultant | Visit Online: | Contact Number (Helpline):
  • AmanWebDesigner/BestWebDesignerInDelhi/DigitalMarketingAgencyInGurgaon-ghazibad | Location details: h-61, near nirala world, Sector 63, Noida, Uttar Pradesh 201309, India | Classification: Website designer, Website designer | Visit Online: amanwebdesigner.business.site | Contact Number (Helpline):
  • GreatLearningGurgaon | Location details: Orchid Centre, 2nd Floor, Golf Course Rd, Sector 53, Gurugram, Haryana 122002, India | Classification: Educational institution, Educational institution | Visit Online: greatlearning.in | Contact Number (Helpline): +91 124 493 4000
  • Web Development Companies in Gurgaon

    1. Webfries- Website Design and Development Company in Gurgaon Address: B-110, Second Floor, Ardee City, Sector 52, Gurgaon, Haryana 122011 Phone: 0124 438 2633 , Website: www.webfries.com/
    2. KIIT College of Engineering Address: Sohna Road, Bhondsi, Gurugram, Haryana 122102 Phone: 098116 26767 , Website: www.kiit.in/
    3. ITinfoCube IT Services Pvt. Ltd. Address: 1st Floor, Plot No.768, Udyog Vihar Phase-V, Gurgoan, Haryana 122016 Phone: 0124 414 1855 , Website: www.itinfocube.com/
    4. Global SW Innovations India Private Limited Address: Unit 1123, Tower B4, Tower A, Spaze iTech Park, Sohna - Gurgaon Rd, Sector 49, Gurugram, Haryana 122001 Phone: 0124 402 7244 , Website: www.gswi.co.in/
    5. Wizie Address: Plot No. 81, IDC, Mehrauli-Gurgaon Road, Gurugram, Haryana 122001 Phone: 0124 411 0900 , Website: www.wizie.com/
 courses in Gurgaon
Schools beneathneath the ICT scheme. An quantity of Rs. Under the ICT scheme, the Union Government is presenting 75% of economic help to State/UTs. Schools beneathneath the ICT scheme. sixty six Lacs has additionally been launched beneathneath the scheme throughout 2008-09 beneathneath the scheme for the a few 500 Govt. Sec. An quantity of Rs. 00 lakhs has been supplied withinside the 12 months 2010-eleven beneathneath this scheme. The circumstance of laboratories in the faculties became not pleasant in the faculties and to offer skill, upgrading medical schooling units withinside the Govt. 19 Lakh college students were supplied paintings books throughout the 12 months 2010-2011.

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