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 Navi Mumbai

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

  • 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 Navi Mumbai
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. 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 Navi Mumbai. Cleaning and validating data to ensure that it is accurate and consistent. 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. There are numerous reasons why you should take this course. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. . This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. Create data strategies with the help of team members and leaders.

List of All Courses & Internship by TechnoMaster

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List of Training Institutes / Companies in Navi Mumbai

  • AquaPureServices-ROWaterPurifierDealersInNaviMumbai | Location details: 215, Magan Mahal, Behind Nirala Motor Training School, Sir M. V. Road, Andheri East, next to Aarasa Hotel, Mumbai, Maharashtra 400069, India | Classification: Water treatment plant, Water treatment plant | Visit Online: aquapureservices.in | Contact Number (Helpline): +91 98703 70114
  • JointSubRegistrarOfficePanvel2&4 | Location details: Panvel Industrial Estate, Panvel, Navi Mumbai, Maharashtra 410206, India | Classification: Registry office, Registry office | Visit Online: | Contact Number (Helpline):
  • WCS(WebsiteDesignerInKharghar|Kamothe) | Location details: C-5/33 opp Gokhle high school, Sector 12, Navi Mumbai, Maharashtra 410210, India | Classification: Website designer, Website designer | Visit Online: webcompletesolutions.com | Contact Number (Helpline):
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  • DigitalMarketingCompaniesInNaviMumbai | Location details: office no. 215,. plot no 8,annapurna building, Sector 18, Navi Mumbai, Maharashtra 400703, India | Classification: Internet marketing service, Internet marketing service | Visit Online: exitoconsulting.in | Contact Number (Helpline): +91 81048 45378
  • RadiantConsulting | Location details: Plot 255, Lavika Palace, 42, 42, Sector 21, Navi Mumbai, Maharashtra 400706, India | Classification: Financial consultant, Financial consultant | Visit Online: radiantconsulting.co.in | Contact Number (Helpline): +91 98210 54331
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  • SwamiProductSearchInfotechPvt.Ltd | Location details: Rainbow Tower, B-107, Sector 20, Airoli, Navi Mumbai, Maharashtra 400708, India | Classification: Website designer, Website designer | Visit Online: productsearchinfotech.com | Contact Number (Helpline): +91 90040 96906
  • ProvidentFundConsultantInNaviMumbai | Location details: 302, sumukha chs, kharghar sector 35, Navi Mumbai, Maharashtra 410210, India | Classification: Certified public accountant, Certified public accountant | Visit Online: | Contact Number (Helpline): +91 98670 40172
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  • PanvelCityPoliceStation | Location details: 746/10, Sai Nagar Rd, Banglow Society, Old Panvel, Panvel, Navi Mumbai, Maharashtra 410206, India | Classification: Police station, Police station | Visit Online: | Contact Number (Helpline): +91 22 2745 2333
  • BargotiServices(ISOConsultantsMumbai) | Location details: D-263, First Floor, Vashi Plaza, Sector 17,, Vashi, Navi Mumbai, Maharashtra 400703, India | Classification: Consultant, Consultant | Visit Online: bestisoconsultant.com | Contact Number (Helpline): +91 98100 49360
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  • KhandaColonyPostOffice | Location details: Sector 10, Khanda Colony, Panvel, Navi Mumbai, Maharashtra 410206, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • I-Soft Solutions Address: B-394, Vashi Plaza, 1st Floor, Sector - 17, Vashi, Navi Mumbai, Mumbai, Maharashtra 400703 Phone: 093245 65367 , Website: https://www.indiamart.com/isoft-solutions-navimumbai/profile.html
  • Miracleworx Address: Shiv Sankalp Building, 1st Floor, plot 2A, Sector 6, Vashi/ Navi mumbai, Maharashtra 400703 Phone: 098203 02118 , Website: https://www.miracleworx.com/
  • InfoTrans Technologies Inc Address: Unit # 301, Building No. 5, Sector 3, MBP - Millennium Business Park,, Mahape,, Navi Mumbai, Maharashtra 400710 Phone: 098676 81114 , Website: www.infotrans.co.in/
  • Odigo Digital - SEO, UX Design and PPC Agency Mumbai Address: S-170, Haware Fantasia Business Park, Sector 30A, Vashi, Navi Mumbai, Maharashtra 400705 Phone: 098339 67010 , Website: www.odigodigital.com/
  • Web SEO Services Address: Office No. B-007, Ground Floor, Juinagar Railway Station Complex,, Juinagar, Navi Mumbai, Maharashtra 400705 Phone: 098210 46390 , Website: www.webseoservices.in/
 courses in Navi Mumbai
After independ- ence in 1947, the boom of the port, the invention of The case of Mumbai, India By Neelima Risbud Contact Neelima Risbud School of Planning and Architecture, New Delhi 110002 7/6, Bhagwandass Road, New Delhi 110001, India Tel. DEMOGRAPHICS The populace of Greater Mumbai has extended greater than twelve instances withinside the final century. However, with will increase in length of live withinside the town a extensive share of unskilled migrants pass upwards to occupations requiring skills. According to the Census 2001 for Maharashtra, the common length of families declined from 5. Home-primarily based totally monetary pastime is additionally not unusualplace as a secondary supply of income, which can variety from vegetable stores to illicit liquor stores. Suburban districts have additionally proven enhancements from 769 in 1971 to 826 in 2001. But nearly no different town has drawn so many humans from a number of the maximum far flung components of the united states of america, via way of means of imparting them the attractive promise of a higher life, a livelihood and a brand new beginning. Mumbai additionally have become the capital of the State of Maharashtra, including in addition to its administrative impor- tance. Until 1950, maximum of the boom remained withinside the Island City but this notably decreased after 1971 because of congestion (see Table 1). 1 members to 4.

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