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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
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Data Science Jobs in Saar

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

  • 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 Saar
Data Science There are numerous reasons why you should take this course. To find trends and patterns, use algorithms and modules. 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. Identify and collect data from data sources. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. Create data strategies with the help of team members and leaders. . Cleaning and validating data to ensure that it is accurate and consistent.

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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 Saar

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  • UniversityPostOffice | Location details: University Rd, Mansaar Colony, Darbhanga, Bihar 846008, India | Classification: Post office , Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
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  • ADVANTI | Location details: Store 108 Najibi Centre, Saar Avenue Saar, 515, Bahrain | Classification: Computer store, Computer store | Visit Online: advanti.com | Contact Number (Helpline): +973 1774 4707
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  • Saarthi:ImmigrationConsultant&IELTSCenterInMohali | Location details: Sco 12 Main Market, near SBI Bank, Sector 68, Sahibzada Ajit Singh Nagar, Punjab 160062, India | Classification: Immigration & naturalization service, Immigration & naturalization service | Visit Online: saarthigroups.com | Contact Number (Helpline): +91 81959 35151
  • SaarVisaConsultancy | Location details: 1stFloor, Opp. PNB Bank, Ambala Road, Kaithal, Haryana 136027, India | Classification: Consultant, Consultant | Visit Online: saarconsultancy.com | Contact Number (Helpline): +91 1746 235 621
  • MoryaServices|JobPlacementPune|JobConsultancyInPune&Bhosari|RecruitmentService | Location details: Near Thane Janata Sahakari Bank 1 st Floor, Bhosaari Road, opp. Vikas Colony, Landewadi, Bhosari, Pune, Maharashtra 411039, India | Classification: Employment consultant, Employment consultant | Visit Online: morayaservices.com | Contact Number (Helpline): +91 86007 34044
  • CAInMohaliTAXTERMINUSCAInMohaliGSTCONSULTANTS,CharteredAccountants,CPAInMohali,PSAARAConsultantsPunjab | Location details: SCO 10, SECOND FLOOR, Phase 2, Sahibzada Ajit Singh Nagar, 160059, India | Classification: Certified public accountant, Certified public accountant | Visit Online: business.site | Contact Number (Helpline): +91 70877 33877
  • SAARTHAKCONSULATANT/ROHITAGARWAL&ASSOCIATES | Location details: | Classification: Tax preparation service, Tax preparation service | Visit Online: | Contact Number (Helpline): +91 98110 65045
 courses in Saar
Proceeding similarly, you got here to a place of big garage jars on the again of the temple: the impressions they left withinside the ground are nevertheless visible. Fig. Subsequent changes At a few factor in the course of the life of this the ground. In contrast to the relaxation of the constructing, the flooring withinside the garage place had been affected by fish bones and sherds. It appears likely, however, that it would have fashioned the identical crescent form as the surviving altars. The earliest temple constructing is largely a unmarried, trapeze-formed room, aligned north-east to south-west, with a small place partitioned off as a storeroom withinside the west nook. This indicates that there has been a shelf or cowl above those unique jars. The systems withinside the north comer had been re-modelled: the best one, towards the north-east wall, remained in use, however become lots decreased in top through the raised ground degree. Once inside, you can flip to your proper and discover your self dealing with a sequence of raised systems withinside the north-east comer, possibly bearing statues or services. The depressions towards the south wall of the adjoining store-room, Area 220, had been flanked through stumps of skinny partitions mendacity below mortar debris, and the ground under become one by one plastered.

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