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 Mysuru

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

  • 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 Mysuru
Data Science To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. 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. 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. . 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. 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. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights.

List of All Courses & Internship by TechnoMaster

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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 Mysuru

  • SiriusRestaurantConsultantsPvt.Ltd. | Location details: #431, 1st Floor, Navilu Road, Kuvempunagar, Mysuru, near ICICI Bank, Mysuru, Karnataka 570023, India | Classification: Consultant, Consultant | Visit Online: business.site | Contact Number (Helpline): +91 81234 60052
  • FREELANCEWEBDESIGNERMYSORE | Location details: #63, Door no2, 6th Cross Road, 14th Main Road, Jayanagar, Mysuru, Karnataka 570014, India | Classification: Website designer, Website designer | Visit Online: webdesigningmysore.com | Contact Number (Helpline): +91 88922 46898
  • 9PaxRestaurantConsultantsPvtLtd | Location details: B 130, Yadavagiri Industrial Area, Behind Sankalp Apartment, Yadavagiri, Mysuru, Karnataka 570020, India | Classification: Consultant, Consultant | Visit Online: 9pax.com | Contact Number (Helpline): +91 821 251 1200
  • InfosysLimited,Mysore | Location details: Infosys Road, Hebbal Industrial Estate, Hebbal, Mysuru, Karnataka 570027, India | Classification: Software company, Software company | Visit Online: infosys.com | Contact Number (Helpline):
  • WebDesigner&Developer,Logo,Graphics,AndroidIOSAppMysore | Location details: No.6, 1st B Main Rd, Mother Theresa Colony, 2nd Stage, Rajiv Nagar, Mysuru, Karnataka 570019, India | Classification: Website designer, Website designer | Visit Online: eorbsolutions.com | Contact Number (Helpline): +91 96637 67007
  • CloudE | Location details: 2687/2, 5th Cross, Kalidasa Road, VV Mohalla, Mysuru, Karnataka 570002, India | Classification: Training centre , Training centre | Visit Online: cloude.in | Contact Number (Helpline): +91 97383 59610
  • MinesAndGeologyOfficeKoppal | Location details: district administration office, K.G Koppal, Mudran Nagar, Mysuru, Karnataka 570003, India | Classification: District office, District office | Visit Online: | Contact Number (Helpline):
  • SQUBECONSULTANTS | Location details: Block K, Jayanagar, Kuvempu Nagara, Mysuru, Karnataka 570023, India | Classification: Consultant, Consultant | Visit Online: | Contact Number (Helpline):
  • OLXCashMyCar | Location details: Ground floor , A4, Kantharaja Urs Rd, near Akshay Bahnadar, Kuvempu Nagara, Mysuru, Karnataka 570009, India | Classification: Used car dealer, Used car dealer | Visit Online: cashmycar.olx.in | Contact Number (Helpline):
  • SreeMookambikaProjectAndFinancialConsultantsPrivateLimited | Location details: 279, 15th Main Road, Saraswathipuram, Mysuru, Karnataka 570009, India | Classification: Consultant, Consultant | Visit Online: business.site | Contact Number (Helpline): +91 99012 19764
  • BizvantWebsiteDevelopmentCompanyInMysore | Location details: 638, 1st Floor, Mysore Diary Road,, Opp. DFRL, Siddarthnagar, Mysuru, Karnataka 570011, India | Classification: Website designer, Website designer | Visit Online: bizvantmysore.com | Contact Number (Helpline): +91 99455 71071
  • SwastikConsultants | Location details: 836, Ground Floor, 10th Main, Near Akshaya Bandar, New Kantharaj Urs Rd, Kuvempu Nagara, Mysuru, Karnataka 570009, India | Classification: Consultant, Consultant | Visit Online: swastikconsultants.co.in | Contact Number (Helpline): +91 99801 97826
  • BizvantWebDesign | Location details: No 638, 2nd Floor,, Siddarthanagar, Mysore, Mysuru, Karnataka 570011, India | Classification: Website designer, Website designer | Visit Online: bizvantmysore.com | Contact Number (Helpline): +91 99455 71071
  • WebdesignCompanyMysore | Location details: 53, 15th Cross Rd, 3rd A Block, Vani Vilas Mohalla, Mysuru, Karnataka 570002, India | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline): +91 94498 36388
  • PeopleManagementServices,ManpowerConsultantsAndLabourLawConsultants | Location details: #1017, 8th Main Rd, near Doctors Corner, 3rd Stage, Gokulam 3rd Stage, Gokulam, Mysuru, Karnataka 570002, India | Classification: Legal services, Legal services | Visit Online: peoplemanagementservices.net | Contact Number (Helpline): +91 90088 55204
  • 9PaxRestaurantConsultantsPvt.Ltd | Location details: Door No. 337, First Floor, 3rd 'A' main, N R Mohalla, Subash Nagar, Mysuru, Karnataka 570007, India | Classification: Consultant, Consultant | Visit Online: 9pax.com | Contact Number (Helpline): +91 94494 90222
  • Website Development Company Address: 638 Siddartha Nagar, Buddha Marga, Mysuru, Karnataka 570011 Phone: 099455 71071 , Website: bizvantmysore.com/
  • Vidya Vikas Institute of Engineering & Technology Address: #127-128, Mysore - Bannur Road, Alanahally, Mysuru, Karnataka 570028 Phone: 0821 247 1232 , Website: vidyavikasengineering.com/
  • ATME College of Engineering Trust Office Address: 2904, 2nd Floor, Kantharaj Urs Road, 1st Main, Next to Fire Brigade, Saraswathipuram, Mysuru, Karnataka 570009 Phone: 0821 419 1551 , Website: www.atme.in/
  • Infomaze Technologies Address: #286-A, Hebbal Industrial Area, Mysore, Karnataka 570018 Phone: 0821 234 0437 , Website: www.infomazetech.com/
  • Beacon System Soft Solutions Address: # 7 Model House, 13th cross, karunpaura, Mysore, St Mary's Road, Gandhi Nagar, Gayathripuram, Mysuru, Karnataka 570007 Phone: 097434 13293 , Website: beacon3s.com/
 courses in Mysuru
The famous Nimishambha temple is positioned withinside the close to with the aid of using district of Ganjam. The production of the church become finished beneathneath Bishop Rene Fuga's supervision. It additionally has a sprawling terrace and landscaped gardens. 7 lakhs. Lalitha Mahal: is the second one biggest palace in Mysore. Mahisha stands for Mahishasura, a demon from the Hindu mythology. Jaganmohan Palace : become constructed withinside the 12 months 1861 with the aid of using Krishnaraja Wodeyar III in a predominantly Hindu fashion to function an trade palace for the royal own circle of relatives. Oriental Research Institute , previously referred to as the Oriental Library, mounted in 1891 incorporates over 33000 palm leaf manuscripts. Among other landmarks, you may see the race course, the Lalitha Mahal palace, Mysore Palace, Karanji and Kukkarahalli lakes. The palace has 3 flooring and has stained glass shutters and ventilators.

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