Data Science Training by Experts

;

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.

Download Syllabus - Data Science
Course Fees
10000+
20+
50+
25+

Data Science Jobs in Jaipur

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

  • 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 Jaipur
Data Science 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. You'll have a personal mentor who will keep track of your development. 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. Create data strategies with the help of team members and leaders. To find trends and patterns, use algorithms and modules. 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. 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.

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 Jaipur

  • SEOCoursesJaipur@5000Rs | Location details: Gopalpura Bypass Rd, Narayan Vihar, Jaipur, Rajasthan 302035, India | Classification: Internet marketing service, Internet marketing service | Visit Online: | Contact Number (Helpline): +91 76655 72701
  • DigitalWebspot-DigitalMarketingCompany | Location details: Plot no. 115, Jan Path, Block D, Nirman Nagar, Brijlalpura, Jaipur, Rajasthan 302019, India | Classification: Internet marketing service, Internet marketing service | Visit Online: digitalwebspot.com | Contact Number (Helpline): +91 80056 10646
  • SEOServicesCompanyJaipur | Location details: Ideal Web Infotech, 1st Floor, Shri Ram Nagar - A, Jhotwara, Jaipur, Rajasthan 302012, India | Classification: Internet marketing service, Internet marketing service | Visit Online: idealwebinfotech.com | Contact Number (Helpline): +91 99289 15264
  • GDigitalDesh-digitalMarketingCompanyJaipur|e-commerceWebsiteDevelopment|googleAdwords|virtualTour|socialMediaMarketing|graphicDesigning|conte | Location details: 101 First Floor, Okay Plus Square, Madhyam Marg, Mansarovar, Jaipur, Rajasthan 302020, India | Classification: Internet marketing service, Internet marketing service | Visit Online: gdigitaldesh.com | Contact Number (Helpline): +91 80032 21133
  • DigitalMarketingTrainingInJaipur-IIHT,Durgapura | Location details: Hospital, 48-49, 3rd floor, Tonk Rd, Jai Ambey Nagar, Opp, Jaipur, Rajasthan 302018, India | Classification: Internet marketing service, Internet marketing service | Visit Online: business.site | Contact Number (Helpline): +91 97727 86369
  • AdarshMarketing | Location details: 314, Adarsh Nagar, Adarsh Nagar, Jaipur, Rajasthan 302004, India | Classification: Packaging company, Packaging company | Visit Online: | Contact Number (Helpline): +91 141 260 8291
  • BhavyaSoft | Location details: FF - 4, Laxmi Narayan Mandir Complex, Gurunanakpura, Raja Park, Jaipur, Rajasthan 302004, India | Classification: Website designer, Website designer | Visit Online: bhavyasoft.com | Contact Number (Helpline): +91 89529 28191
  • AmitDadhich:GoogleAdWordsExpertAndDigitalMarketingConsultant | Location details: 1935, Khanjane Walon ka Rasta, second crossing, Chandpole Bazar, Chandpole, Chandpol, Jaipur, Rajasthan 302001, India | Classification: Consultant, Consultant | Visit Online: amitdadhich.com | Contact Number (Helpline):
  • BestDigitalMarketingAgencyInJaipur-AndMuchMore | Location details: 407-408 Kailash Tower, Lalkothi, Jaipur, Rajasthan 302015, India | Classification: Internet marketing service, Internet marketing service | Visit Online: andmuchmore.in | Contact Number (Helpline): +91 98293 95373
  • BulkSMSServiceProviderInJaipur,JaipurSmsHub,SmsMarketingService,ShortCodeService | Location details: Plot No. 21, A Block, Tonk Rd, Kirti Nagar, Vasundhara Colony, Gopal Pura Mode, Jaipur, Rajasthan 302015, India | Classification: Internet marketing service, Internet marketing service | Visit Online: jaipursmshub.in | Contact Number (Helpline): +91 72300 38888
  • DigitalMarketingTrainingInMalviyaNagarJaipur | Location details: D5, Bharu Marg, Ashok Vihar, Nandpuri Colony, Malviya Nagar, Jaipur, Rajasthan 302017, India | Classification: Training centre , Training centre | Visit Online: | Contact Number (Helpline):
  • RDITSolutions | Location details: Amrapali Plaza, F-102, First Floor, Vaishali Nagar, Jaipur, Rajasthan 302021, India | Classification: Computer support and services, Computer support and services | Visit Online: | Contact Number (Helpline):
  • MarketingMindz | Location details: 200, Patrakar Colony, Vardhman Nagar, Karni Vihar, Jaipur, Rajasthan 302019, India | Classification: Internet marketing service, Internet marketing service | Visit Online: marketingmindz.com | Contact Number (Helpline): +91 93528 70637
  • WorkmatesTechnologies | Location details: B-121A, Mangal Marg, Siwar Area, Bapu Nagar, Jaipur, Rajasthan 302015, India | Classification: Website designer, Website designer | Visit Online: workmates.in | Contact Number (Helpline): +91 98291 18328
  • SiyasWebDevelopersJaipur | Location details: 5, 262, behind fortise Hospital, Sector 5, Malviya Nagar, Jaipur, Rajasthan 302017, India | Classification: Internet marketing service, Internet marketing service | Visit Online: business.site | Contact Number (Helpline):
  • MukeshKushawahSEO,SMOAndDigitalMarketingInJaipur | Location details: 93 A, Gopalpura Bypass Rd, Kirti Nagar, Vasundhara Colony, Gopal Pura Mode, Jaipur, Rajasthan 302018, India | Classification: Internet marketing service, Internet marketing service | Visit Online: business.site | Contact Number (Helpline):
  • Web Innovative Point Address: B-25/G-2, Shyam Sadan Apartment, Gulabi Nagar, Sodala, Jaipur, Rajasthan 302006 Phone: 097850 09222 , Website: www.webinnovativepoint.com/
  • Sine International Institute of Technology, (SIIT) Jaipur Address: Lakhna Road, Via Sanganer Bazar,, Jaipur, Rajasthan 302029 Phone: 098285 60001 , Website: www.siitjaipur.org/
  • Intecons Software Lab Address: 604-605, Class of Pearl, K-48 Income Tax Colony, Durgapura, Tonk Road, Jaipur, Rajasthan 302018 Phone: 0141 255 2984 , Website: https://www.intecons.com/
  • Digital Marketing & SEO Training Institute in Jaipur - JDSM Address: 2nd Floor, Gate no. 2, Plot No. 48, Gopal Bari, Ajmer Road, Jaipur, Rajasthan 302001 Phone: 098874 82119 , Website: https://www.eiim.in/
  • Nowal Digital Marketing - SEO, SMO, SEM, SMM Address: P. No. 64 Krishi Nagar, Budhsinghpura, Prabhu Dayal Marg,, Sanganer Thana, Sanganer, Jaipur, 302029 Phone: 095292 94635 , Website: https://nowaldigitalmarketing.wordpress.com/
 courses in Jaipur
5. Here, the beyond lives on withinside the mind-blowing fortresses and the purple and red palaces in which the maharajas as soon as lived. The entire of Jaipur is an architectural gem and not one of the planned , points of interest may even desire to do justice to this uncommon metropolis. Diwan-E-Am (corridor of audience) has problematic decorations and series of manuscripts, Diwan-E-Khas (corridor of personal audience) has marble vases withinside the. Ornament has continually been part of the architectural history of the state, however now it has turn out to be a great deal extra luxurious. . S. Jaipur is about withinside the conventional 9 grid pattern , taken into consideration fortunate with the aid of using astrologers and advocated in an ancient treatise on Indian architecture. Following the Mughal lifestyle, the durbar or courtroom docket regions have become a great deal extra open, characterised with the aid of using a chain of arched pavilions held up with the aid of using elaborately carved pillars. Around it line up , public buildings, houses of nobles, , residential and industrial blocks of traders and craftsmen.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer