Data Science Training by Experts

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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 Nagpur

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

  • 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 Nagpur
Data Science There are numerous reasons why you should take this course. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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. Experts provide immersive online instructor-led seminars. Effectively analyze both organized and unstructured data Create strategies to address company issues. 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. Identify and collect data from data sources. To find trends and patterns, use algorithms and modules. You'll have a personal mentor who will keep track of your development.

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 Nagpur

  • Kalmana | Location details: 12, SH260, Kalmana Market, Dhanya Market, Kalmana Market, Kalmana, Nagpur, Maharashtra 440035, India | Classification: Market, Market | Visit Online: | Contact Number (Helpline):
  • SUNSHINEINFOSYSTEM-DigitalMarketingCoursesInNagpur | Location details: 58, Old Bagadganj, Near Baba Nanak School, Nandanvan, Nagpur, Maharashtra 440009, India | Classification: Training centre , Training centre | Visit Online: +91 96655 23442 | Contact Number (Helpline):
  • PVREmpressCityMall,Nagpur | Location details: Empress City Mall,, 3rd Floor, near Gandhi Sagar Lake, Nagpur, Maharashtra 440018, India | Classification: Movie theater, Movie theater | Visit Online: +91 88009 00009 | Contact Number (Helpline): pvrcinemas.com
  • VizagSteel-RashtriyaIspatNigamLimited | Location details: No. 317, Ravindra Nath Tagore Marg, Civil Lines, Nagpur, Maharashtra 440001, India | Classification: Steel distributor, Steel distributor | Visit Online: +91 712 653 5423 | Contact Number (Helpline): vizagsteel.com
  • NCKInfotechPvtLtd | Location details: N 126, Hedgewar Marg, Near Reshimbagh Ground, near Keshav Dwar, Reshim Bagh, Nagpur, Maharashtra 440024, India | Classification: Internet marketing service, Internet marketing service | Visit Online: | Contact Number (Helpline): nckinfotech.com
  • SEOCompanyNagpur | Location details: 618, Pushpa Apartment, 1st Floor, Asha Computers,, Opposite of Khobragade Hospital, Indora Kamptee Road, Nagpur, Maharashtra 440017, India | Classification: Internet marketing service, Internet marketing service | Visit Online: esenzendya.com | Contact Number (Helpline): +91 712 263 3399
  • AquaFreshSells&ServiceNagpur | Location details: sub post office, Revati Nagar, Besa, Nagpur, Maharashtra 440001, India | Classification: Water damage restoration service, Water damage restoration service | Visit Online: | Contact Number (Helpline):
  • VisionaryConsultantsPvtLtd | Location details: Plot No 166, Safalya Apartments, Nelco Society, Subhash Nagar, Nagpur, Maharashtra 440022, India | Classification: Job Centre, Job Centre | Visit Online: visionaryinc.in | Contact Number (Helpline): +91 712 224 7063
  • DRAConsultantsPvt.Ltd. | Location details: Plot No. 58, Wardha Rd, behind The Pride Hotel, Ingole Nagar, Somalwada, Nagpur, Maharashtra 440005, India | Classification: Engineering consultant, Engineering consultant | Visit Online: dra.net.in | Contact Number (Helpline): +91 99229 54932
  • TaoriMarketing | Location details: Yashwant Stadium, Abhyankar Marg, Yashwant Stadium, Dhantoli, Nagpur, Maharashtra 440012, India | Classification: Marketing, Marketing | Visit Online: | Contact Number (Helpline):
  • MedihelpHomePatientCareNursingServicesNagpur | Location details: Indora Sq,Kamptee Road Inox Talkies Road, North, Nagpur, Maharashtra 440014, India | Classification: Home health care service, Home health care service | Visit Online: business.site | Contact Number (Helpline): +91 80076 88388
  • OrangeFinancialServicesPvt.Ltd.,Nagpur | Location details: Block No 12, Ghatate Building, Panchsheel Square, Nagpur, Maharashtra 440010, India | Classification: Financial consultant, Financial consultant | Visit Online: | Contact Number (Helpline): +91 90497 24513
  • IJPS-ImplaceInternationalJobPlacementServicesInNagpur | Location details: Sanskrutik Sankul Complex, 202, 2ND FLOOR, LAXMINARAYAN, Dhantoli, Nagpur, Maharashtra 440012, India | Classification: Employment consultant, Employment consultant | Visit Online: implace.in | Contact Number (Helpline): +91 92250 60600
  • SpickAndSpanServices | Location details: 32, Mama Rd, Near Zenda Chowk, Dharampeth, Nagpur, Maharashtra 440010, India | Classification: Cleaners, Cleaners | Visit Online: spickandspan.co.in | Contact Number (Helpline): +91 712 256 7373
  • ATSystemsAndServices | Location details: MANGALMURTI CHOWK Jaitala Road , Above HDFC ATM, near Anusaya Mangal Karyalaya, Nagpur, Maharashtra 440022, India | Classification: Repair service, Repair service | Visit Online: | Contact Number (Helpline): +91 87936 16195
  • NexflowTechSolution|DigitalMarketing|WebDevelopment|WebDesigningCompany | Location details: 4th Floor, Monarch Tower, Main Road, IT Park Rd, Gayatri Nagar, Nagpur, Maharashtra 440022, India | Classification: Computer support and services, Computer support and services | Visit Online: nexflow.online | Contact Number (Helpline): +91 99600 05090
  • 21 Century Web Address: 15, Software Technology Park,, Link Road, Sadar,, Nagpur, Maharashtra 440001 Phone: 0712 254 3006, website: www.21centuryweb.com
  • IT Training Institutes/Engineering Colleges in Nagpur

    1. G.H. Raisoni College of Engineering Address: CRPF Gate No. 3, Hingna Road, Digdoh Hills, Nagpur, Maharashtra 440016 Phone: 096047 87184, website: www.ghrce.raisoni.net
    2. VIVASOFT Inc. Address: 403, Monarch Tower B-wing, Orbital empier, Jaitala, Nagpur, Maharashtra 440036 Phone: 0712 688 8870, website: vivasoft.in
    3. Benpour Technologies private limited Address: Ring Rd, Rajendra Nagar, Takli Seem, Trimurtee Nagar, Nagpur, Maharashtra 440022 Phone: 080073 53743, website: www.benpour.com
    4. ZeroMile Software Services India Pvt Ltd Address: Flat no. 101, 1st Floor, Firdos Apartment, New Colony, Sadar, Nagpur, Maharashtra 44001 Phone: 094057 42573, website: www.zeromile.net
 courses in Nagpur
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