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
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Data Science Jobs in Sohar

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

  • 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 Sohar
Data Science There are numerous reasons why you should take this course. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. To find trends and patterns, use algorithms and modules. . Create data strategies with the help of team members and leaders. 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. Experts provide immersive online instructor-led seminars. Effectively analyze both organized and unstructured data Create strategies to address company issues. 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'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 Sohar

  • PostOfficeSohari | Location details: Post Office, Sohari, Himachal Pradesh 174320, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • ESSNADLLC | Location details: Sohar Sawary Centre, First Floor, Office No: 2 P.O.BOX:188 PC:321, Sohar Al Turaif Sohar OM, 321, Sohar, Oman | Classification: Computer consultant, Computer consultant | Visit Online: | Contact Number (Helpline): +968 9433 8838
  • InternationalMaritimeCollegeOman(IMCO) | Location details: لا يوجد، Sohar, Oman | Classification: College, College | Visit Online: imco.edu.om | Contact Number (Helpline): +968 7249 9000
  • SoharUniversity | Location details: 3111 Al Jamiah Street، Sohar, Oman | Classification: University, University | Visit Online: su.edu.om | Contact Number (Helpline): +968 26 850100
  • POLYGLOTINSTITUTEمعهدبوليغلوتصحار | Location details: Sohar, Oman | Classification: Language school, Language school | Visit Online: | Contact Number (Helpline): +968 26 847103
  • NestoHypermarketSohar | Location details: Near Globe Round About، Sohar, Oman | Classification: Hypermarket, Hypermarket | Visit Online: nestogroup.com | Contact Number (Helpline): +968 9134 6184
  • BankSohar | Location details: Muaskar Al Murtafaa, Masqat 111, Oman | Classification: Financial institution, Financial institution | Visit Online: banksohar.net | Contact Number (Helpline): +968 24 730000
  • RahatComputerServicesFalajAlQaba'il | Location details: Falaj Al Qabail- Buraimi Rd Sohar OM, 322, Oman | Classification: Computer support and services, Computer support and services | Visit Online: rahatcomputer.com | Contact Number (Helpline): +968 9139 6678
  • InternationalMaritimeCollegeOman(IMCO) | Location details: لا يوجد، Sohar, Oman | Classification: College, College | Visit Online: imco.edu.om | Contact Number (Helpline): +968 7249 9000
  • SharafDGSafeerMall | Location details: Level1 Safeer Mall, Sohar, Oman | Classification: Electronics store, Electronics store | Visit Online: oman.sharafdg.com | Contact Number (Helpline): +968 22 837086
  • BalabelAlBatna | Location details: Al Tareef Street, Baldiya Building, Floor-1, Flat-16 Sohar OM, 311, Oman | Classification: Business networking company, Business networking company | Visit Online: balabelgroup.com | Contact Number (Helpline): +968 26 753074
  • BrainobrainSohar | Location details: Al Hambar Oxygen Gym Building Flat #31, Sohar, Oman | Classification: Education center, Education center | Visit Online: brainobrainoman.com | Contact Number (Helpline): +968 9143 6107
  • ComputechTraders | Location details: 1191 Yanqul Road Seih al Makaram Sohar OM, 311, Oman | Classification: Computer networking center, Computer networking center | Visit Online: | Contact Number (Helpline): +968 9284 6095
  • KPMGOman | Location details: 4/5th Floor HSBC Building CBD Ruwi Opposite Al Maya Supermarket and Adjacent to Bank Sohar، Muscat, Oman | Classification: Business management consultant, Business management consultant | Visit Online: kpmg.com | Contact Number (Helpline): +968 24 749600
  • ABQSoharInternationalSchool-مدرسةصحارالعالمية | Location details: 8MCC+348, Sohar, Oman | Classification: School, School | Visit Online: abq.edu.om | Contact Number (Helpline): +968 26 648800
  • POLYGLOTINSTITUTEمعهدبوليغلوتصحار | Location details: Sohar, Oman | Classification: Language school, Language school | Visit Online: | Contact Number (Helpline): +968 26 847103
 courses in Sohar
Positive impacts Al Mahrizi pointed out, “Attracting these initiatives is of awesome significance to the neighborhood commercial enterprise network of all kinds, creating commercial enterprise possibilities for neighborhood businesses in financing and production. “The Zone turned into designed primarily based totally at the device of specialized and included business complexes, wherein businesses and factories are scattered in a manner that guarantees maximum stage of flexibility in commercial enterprise. The first seminar, held ultimate July, highlighted the benefits and strategic components of the loose quarter for Indian businesses and approaches to sell them to Gulf, African and American markets. “The Port is certified to play a critical function in connecting the Sultanate with worldwide markets, deriving power from its strategic region withinside the centre of worldwide alternate routes among Asia and Europe. Promotional and advertising efforts Sohar Free Zone is making awesome efforts in selling its competencies so as to accommodate numerous funding initiatives. Development phases Regarding the Zone`s improvement phases, Al Mahrizi explained, “The Zone, established in 2010, stretches over 4,500 hectares and has been divided into five phases. Al Mahrizi touched at the beneathneath production initiatives, inclusive of Al Hosun bloodless storages, Sohar Qabas Solar Power Plant, truck CEO of Sohar Free Zone for : $918 million is the price of current initiatives and $2 hundred million for the beneathneath production initiatives We consciousness on attracting foreign investments that support economic growth Omar bin Mahmoud Al Mahrizi restrooms, Quartz and Mineral Products Factory, further to Sanvira Carbon Factory. Work has additionally been done to offer perfect warehouses and places of work for businesses, industries and logistics service providers. In view of that, 3 neighborhood achievement memories of Sohar Mills Company, Omani Oil-Grain Milling Company and Al Hosun Company for Logistics and Storage Services had been presented. The 2nd seminar showcased the promising funding possibilities in the Food Industries Complex for Indian businesses.

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