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 Guntur

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

  • 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 Guntur
Data Science To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. There are numerous reasons why you should take this course. You'll have a personal mentor who will keep track of your development. Experts provide immersive online instructor-led seminars. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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. 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 Guntur. 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.

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 Guntur

  • HindustanPetroleum | Location details: SH-51, Narasaraopet Road, Gummanampadu, Guntur, Vinukonda, Andhra Pradesh 522647, India | Classification: Gas station, Gas station | Visit Online: | Contact Number (Helpline):
  • Student | Location details: venkatarao.Chintha, mundruvaripalem(v),Savalyapurem(m)Gunture(d), Vinukonda, Andhra Pradesh 522649, India | Classification: Student dormitory, Student dormitory | Visit Online: | Contact Number (Helpline): +91 97866 36164
  • WebDesigningCompanyInGuntur | Location details: Door No.6, 4-105, 1st Cross Rd, 4th Line, Arundelpet, Guntur, Andhra Pradesh 522002, India | Classification: Website designer, Website designer | Visit Online: business.site | Contact Number (Helpline): +91 63011 88278
  • AndhraPradeshPharmacyCouncil,Guntur. | Location details: D.No. 25-16, 116/1B, Chuttugunta Cir, behind Gowtham Hero Show Room, Guntur, Andhra Pradesh 522004, India | Classification: Council, Council | Visit Online: appharmacycouncil.gov.in | Contact Number (Helpline): +91 83743 79304
  • GorantlaPostOffice | Location details: Gorantla, Guntur, Andhra Pradesh 522034, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline):
  • HIGHCOURTOFAP | Location details: Mahatma Gandhi Inner Ring Rd, Guntur, Andhra Pradesh 522034, India | Classification: Legal services, Legal services | Visit Online: | Contact Number (Helpline):
  • SRRPackersAndMovers | Location details: Door No: 6-150, Mungamuri Junction, Guntur-Chennai Hwy, Ongole, Andhra Pradesh 523002, India | Classification: Transportation service, Transportation service | Visit Online: business.google.com | Contact Number (Helpline): +91 78424 44666
  • WebsiteDesigningGuntur9985262226 | Location details: D.no.26-36-9/2 guntur 522002 Ankamanagar, 4th Line, Guntur, Andhra Pradesh 522002, India | Classification: Website designer, Website designer | Visit Online: web9media.com | Contact Number (Helpline):
  • TheProfessionalCouriers | Location details: Shop No.7, Ground floor, Sri Nagarpamma Complex, Guntur Road, APIIC Growth Center, Burepalli, Andhra Pradesh 523211, India | Classification: Courier service, Courier service | Visit Online: tpcindia.com | Contact Number (Helpline): +91 88975 03965
  • WaiwaveTechnologies | Location details: 8/1, 4th Floor, Gayathri Enclave - Arundalpet,, Guntur, Andhra Pradesh 522002, India | Classification: Software company, Software company | Visit Online: waiwave.com | Contact Number (Helpline): +91 77995 58789
  • WAIWAVETECHNOLOGIES | Location details: ARUNDALPET,, 8 th Line, first cross, Guntur, Andhra Pradesh 522002, India | Classification: Website designer, Website designer | Visit Online: waiwave.com | Contact Number (Helpline): +91 77995 58789
  • WebsiteDesigning&DigitalMarketing/WebsiteSEOCompanyInIndia(DwellSolutions) | Location details: 16-16-230/4, Alinagar, Old Guntur, Guntur, Andhra Pradesh 522001, India | Classification: Website designer, Website designer | Visit Online: dwellsolutions.in | Contact Number (Helpline):
  • MsElectricalServiceInGuntur | Location details: 2nd Ln, Arundelpet, Guntur, Andhra Pradesh 522002, India | Classification: Electrician, Electrician | Visit Online: business.site | Contact Number (Helpline): +91 91545 92224
  • ADDTechnologies,WebsiteDesign&DigitalMarketingAgency | Location details: 3rd Floor, Krishna Plaza, 4/15, Brodipet, Guntur, Andhra Pradesh 522002, India | Classification: Website designer, Website designer | Visit Online: addtechnologies.in | Contact Number (Helpline): +91 99852 90291
  • CloudTimon-WebDesigning&WebDevelopmentCompany | Location details: Flat No.301, Grace Villa Apartments, 7/5, Srinagar Colony, Guntur, Andhra Pradesh 522002, India | Classification: Website designer, Website designer | Visit Online: cloudtimon.com | Contact Number (Helpline):
  • WEBDESIGNINGANDSEOSERVICESGUNTUR | Location details: 12-25,KAKUMANU POST AND MANDAL, GUNTUR, Andhra Pradesh 522112, India | Classification: Website designer, Website designer | Visit Online: venkyportfolio.blogspot.in | Contact Number (Helpline): +91 94916 26027
  • IT Training Institute / Engineering College in Guntur

    1. Chalapathi Institute of Engineering and Technology Address: Chalapathi Nagar, LAM, Guntur, Andhra Pradesh 522034 Phone: 0863 252 4112 , Website: www.chalapathiengg.ac.in/
    2. Sri Mittapalli College of Engineering - Guntur Address: Tummalapalem, NH16,, Guntur,, Andhra Pradesh 522019 Phone: 0863 234 4402 , Website: www.smce.ac.in/
    3. Nalanda Institute Of Engineering & Technology Address: Siddharth Nagar, Kantepudi, Sattenapalli, Guntur, Andhra Pradesh 522438 Phone: 099487 66623www.ngi.ac.in/
    4. Royal It Park Pvt Ltd Address: Lakshmipuram Main Road, Ashok Nagar, Guntur, Andhra Pradesh 522007 Phone: 081430 11112 , Website: https://www.royalitpark.com/
    5. Nivriti Solutions Global Pvt. Ltd. Address: 5-48-10/11, First Floor, Opp: Vajram Residency Hotel lane, 4/13 Brodipet, Guntur, Andhra Pradesh 522002 Phone: 0863 664 1215 , Website: https://www.nivriticloudsolutions.com/
 courses in Guntur
Transports and Communications The State Highway passes via the District with a distance of 657 K. 4. There are 618 K. Land Utilisation : The overall geographical location of the district is 11,39,one hundred Hectares included via way of means of wooded area is 1,61,941 hectares. 5. The percent of literary is 67. 6. With impact from 1st November 1977 again, those 8 taluks had been reorganised into 11 taluks via way of means of upgrading the sub-taluks of 1) Mangalagiri 2) Ponnuru three) Macherla as taluks bifurcating the vintage taluks of Guntur, Bapatla and Palnadu respectively. The river Krishna travels approximately 250 Kms, via the district alongside the northern boundary of the district. In this District there are three Medical Colleges one in Govt.

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