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
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Data Science Jobs in Oman

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

  • 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 Oman
Data Science The top Data Science course online for professionals who wish to expand their knowledge base and start a career in this industry is NESTSOFT in Oman. 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. 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. 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. Identify and collect data from data sources. Cleaning and validating data to ensure that it is accurate and consistent. There are numerous reasons why you should take this course. 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. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science.

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 Oman

  • NETBUE | Location details: 2730, 112 Markzi Mutrah Al Tijari St, Muscat, Oman | Classification: Computer security service, Computer security service | Visit Online: netbue.com | Contact Number (Helpline): +968 9521 9001
  • OmanNationalTrainingInstitute | Location details: Oman, Muscat 115, Way 3521 Dohat Al Adab Street 4th floor Al Khuwair Muscat, Dohat Al Adab St, Muscat, Oman | Classification: Educational institution, Educational institution | Visit Online: onti-oman.business.site | Contact Number (Helpline): +968 24 495552
  • EngineeringForKidsالهندسةللأطفال | Location details: H9X5+448, Muscat, Oman | Classification: School, School | Visit Online: engineeringforkids.com | Contact Number (Helpline): +968 9511 7011
  • PakistanSchoolNizwa | Location details: marfa daris, gubrat, Nizwa, Oman | Classification: School, School | Visit Online: | Contact Number (Helpline): +968 25 425487
  • GermanUniversityOfTechnologyInOman | Location details: GUtech Main Building, Halban, Oman | Classification: University, University | Visit Online: gutech.edu.om | Contact Number (Helpline): +968 22 061111
  • EfficiencyTrainingInstituteمعهدالكفاءةللتدريب | Location details: Muscat, Oman | Classification: Education, Education | Visit Online: etioman.com | Contact Number (Helpline): +968 24 613152
  • PhoenixTechnologies&SolutionsLLC(SECURADO) | Location details: Al Safat St, Muscat, Oman | Classification: Computer support and services, Computer support and services | Visit Online: securado.net | Contact Number (Helpline): +968 24 961755 ext. 24961054
  • GNC | Location details: H6XX+G84, Seeb, Oman | Classification: Health food store, Health food store | Visit Online: | Contact Number (Helpline): +968 24 558222
  • IntegratedAccess | Location details: 7861, Seeb 131, Oman | Classification: Company, Company | Visit Online: almdares.net | Contact Number (Helpline): +968 24 540013
  • SchlumbergerARTCenter | Location details: Unnamed Road, طيمسا،, Oman | Classification: Oil field equipment supplier, Oil field equipment supplier | Visit Online: slb.com | Contact Number (Helpline):
  • PwCOman | Location details: Oman Shipping Company, Salam Square - Salam Gardens Madinat Qaboos Dohat Al Adab Street Way No 49, Bldg 75/3 Next to, Muscat, Oman | Classification: Financial audit, Financial audit | Visit Online: pwc.com | Contact Number (Helpline): +968 24 559110
  • KhimjiRamdasCPGCentralLogistics | Location details: MWCJ+J6J، السلاحة، Oman | Classification: Logistics, Logistics | Visit Online: kr.om | Contact Number (Helpline): +968 22 334040
  • SmartNetworkTrading | Location details: 1, Seeb 111, Oman | Classification: Office, Office | Visit Online: smartnetworktrd.com | Contact Number (Helpline): +968 24 552967
  • OpenSooq-السوقالمفتوح | Location details: Muscat, Oman | Classification: Corporate office, Corporate office | Visit Online: om.opensooq.com | Contact Number (Helpline): +968 9427 3548
  • SAPMENALLC | Location details: H58C+X2F, Seeb, Oman | Classification: Software company, Software company | Visit Online: sap.com | Contact Number (Helpline): +968 22 009644
  • PioneerInstituteOfManagementAndTechnology | Location details: Muscat, Oman | Classification: Training centre, Training centre | Visit Online: pioneerinstitutes.com | Contact Number (Helpline): +968 9820 6039
  • TakweenIT Address: Al Marafah Street, Al Ghubrah NorthØŒ P.O.Box: 1846 AzaibahØŒ Al Ghubrah North, Muscat 130, Oman Phone: +968 22 023045 , website:www.takweenit.net/
  • Al Kays International LLC Address: AL Noor Street, Ruwi, Muscat 131, Oman Phone: +968 24 787049 , website:https://www.facebook.com/Al.Kays.International.LLC/
  • Modern College of Business and Science Address: Bawshar St, Muscat, Oman Phone: +968 24 583583 , website:www.mcbs.edu.om/en/
  • Qanater P.O Box: 612, P.C: 114, Al Ghubrah North Way.No : 4030, Muscat, Sultanate of Oman Phone : +968 24128918, Website: http://qanater.net/
  • Olive Creative Studio P.O Box 3871, P.C 112, Ruwi, Al-Nahda Tower 2, #10, Ghala, Muscat, Oman Phone: +968 2411 7370/71/72, Website: http://promasoft.net
 courses in Oman
About half of the population is under age 30 making it a solid ground for advanced technologies to invest in.

. Like Riyadh,the population of Muscat is rather young. Many of the palaces of the city still sell goods unique to Oman and traditional Omani handicrafts. The city located iin the governorate named Muscat, is one of the oldest cities in the Middle East. Dates, pearls, pearls, fish, handicrafts, and perfumes are some of the traditional export of Muscat. Since 1962 Muscat has been home to The Petroleum Development Oman (PDO) who is now the second largest employer in the country. With the discovery of oil in Oman, the Muscat city began to see new economic horizons. From the second century BCE, they traded with Greece and even today, trading is the backbone of Muscat's economy. There are a number of major companies operating from Muscat, like Suhail Bahwan Group.

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