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 Nashik

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

  • 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 Nashik
Data Science 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 Nashik. Experts provide immersive online instructor-led seminars. 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. 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. 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 Nashik. Effectively analyze both organized and unstructured data Create strategies to address company issues. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. There are numerous reasons why you should take this course. 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. Cleaning and validating data to ensure that it is accurate and consistent.

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 Nashik

  • MEERACABSMUMBAINASHIKCABSERVICES | Location details: Near Bawa Parking Domestic Airport 1A, Santacruz (E, Maharashtra 400029, India | Classification: Taxi service, Taxi service | Visit Online: business.site | Contact Number (Helpline): +91 92265 47777
  • TechnoKraftTraining&Solutions(TTS) | Location details: First Floor, Kanchawala Avenue Above Viju's Dabeli, Near BYK College, College Rd, Thatte Nagar, Nashik, Maharashtra 422005, India | Classification: Training centre , Training centre | Visit Online: tts.net.in | Contact Number (Helpline): +91 253 231 2447
  • MumbaiToNashikShareTaxiServiceBudgetCabsService | Location details: Rd Number 2, Vishnu Prasad Society, Shanaji Raje Marg, Vile Parle East, Vile Parle, Mumbai, Maharashtra 400057, India | Classification: Taxi service, Taxi service | Visit Online: | Contact Number (Helpline): +91 86008 29292
  • Clinchsoft | Location details: Office No-A2/1, 1st Floor, Goyal Building, Near, Nashik Phata Road, behind Sagar Corner, Kasarwadi, Pune, Maharashtra 411034, India | Classification: Software company, Software company | Visit Online: clinchsoft.com | Contact Number (Helpline): +91 81498 42202
  • AjnaComputerProgrammingAndTrainingInstitute | Location details: Flat no, Patil Lane Number 4 Kashi Rameshwar Apartment, 4, College Rd, Nashik, Maharashtra 422005, India | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +91 82082 44162
  • TaxiServiceForMumbaiPuneMumbaiNashikShirdiSuratAmanTravelsThaneMumbai | Location details: Shop No. 88, Near JW Mariott Hotel, Sahar Rd, Mumbai, Maharashtra 400099, India | Classification: Taxi service, Taxi service | Visit Online: | Contact Number (Helpline): +91 96193 11884
  • WEBINFONEX(WebsiteDesigningAndSoftwareDevelopment) | Location details: Deepali Nagar, Nashik, Maharashtra 422009, India | Classification: Software company, Software company | Visit Online: webinfonex.com | Contact Number (Helpline): +91 88050 90983
  • KPTechnoBricksTrainingAndSolution | Location details: F.No.2,C'Lorn Apt, D'Souza Colony,, College Road, near Titlee Shop, Nashik, Maharashtra 422005, India | Classification: Training centre , Training centre | Visit Online: | Contact Number (Helpline): +91 90494 92843
  • WEBINFONEX(WebsiteDesigningAndSoftwareDevelopment) | Location details: Deepali Nagar, Nashik, Maharashtra 422009, India | Classification: Software company, Software company | Visit Online: webinfonex.com | Contact Number (Helpline): +91 88050 90983
  • MEERACABSMUMBAINASHIKCABSERVICES | Location details: Near Bawa Parking Domestic Airport 1A, Santacruz (E, Maharashtra 400029, India | Classification: Taxi service, Taxi service | Visit Online: business.site | Contact Number (Helpline): +91 92265 47777
  • Web Design Nashik Address: Ghankar Lane, near Hotel Panchawati, Nashik, 422001 Phone: 01234 567 890 , Website: www.webcrazystudio.com/
  • Aress Software and Education Technologies Address: L-13, MIDC Ambad, Nashik, Maharashtra 422010 Phone: 0253 663 0707 , Website: aress.com/
  • Existence Solution Nashik Address: College Rd, Patil Colony, Canada Corner, Nashik, Maharashtra 422005 Phone: 0253 661 4168 , Website: www.existencesolution.com/
  • AiDASiNC Address: 3rd Floor, Classic Arcade, Near Symbiosis College, Ambad, Nashik, Maharashtra 422009 Phone: 090045 61023 , Website: https://www.aidasinc.com/
  • Brandz On Web : SEO Services Address: 10, Ravi Uday Apartment, Behind Indra Kund,, Panchavati Karnja, Nashik, Maharashtra 422001 Phone: 090112 79400 , Website: www.brandzonweb.com/
 courses in Nashik
Most of those establishments are non-public establishments functioning withinside the advanced a part of Nashik. Government Technical School, ITI and different non-public technical establishments are catering to the desires of technical educations. Nashik and its adjacent regions are having superb fertile agriculture land and acknowledged for manufacturing of precise great of grapes. On his return, he turned into blocked close to Sangamner, however ought to keep away from the enemy because of advanced information of his guides. The M. Shivaji Maharaj`s dying in 1680, delivered revival of Mughal Power and via way of means of 1818, Holkar`s ownership over Nashik had all exceeded to the British. It turned into a “C” elegance Municipal Council and had populace of 19,952 souls, as in line with 1981 Census. Satpur Industrial Estate is mainly answerable for Industrial & Commercial increase of Satpur region. The Nashik metropolis lies on each facet of the river Godavari, Panchavati mendacity throughout on left financial institution with Tapovan on facet of it & the antique Nashik on proper financial institution. During first 1/2 of of twentieth Century, noteworthy revolutionaries operated from Nashik.

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