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 Muscat

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

  • 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 Muscat
Data Science 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. 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. 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 Muscat. There are numerous reasons why you should take this course. Experts provide immersive online instructor-led seminars. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. Cleaning and validating data to ensure that it is accurate and consistent. 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. Create data strategies with the help of team members and leaders. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages.

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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 Muscat

  • IGNOUInternationalStudyCenter.OSC-5905) | Location details: Muscat, Oman | Classification: Distance learning center, Distance learning center | Visit Online: | Contact Number (Helpline): +968 9957 4260
  • ArtOfLivingLLC | Location details: Building No. 1534, Sayh Al Malih Street Way No. 1822, PDO Road, مسقطMuscat, Oman | Classification: Yoga retreat center, Yoga retreat center | Visit Online: artofliving.org | Contact Number (Helpline): +968 9884 0456
  • ZoomlineNetworksTechnologyLLC | Location details: HGXX+6WG, Muscat 112, Oman | Classification: Corporate office, Corporate office | Visit Online: zoomlinenetwork.com | Contact Number (Helpline): +968 24 797861
  • SitespowerTrainingHall105 | Location details: 228 Muscat Rd - Al Quoz - Al Quoz 1 - Dubai - United Arab Emirates | Classification: Training centre, Training centre | Visit Online: sitespower.com | Contact Number (Helpline): +971 4 330 6555
  • Pappu | Location details: Muscat OM, 100, Oman | Classification: Mobile network operator, Mobile network operator | Visit Online: | Contact Number (Helpline): +968 9033 4088
  • BureauVeritasMiddleEastCo.LLC | Location details: Dohat Al Adab St, Muscat, Oman | Classification: Corporate office, Corporate office | Visit Online: | Contact Number (Helpline): +968 24 968000
  • GreyhoopoeCo.LLC | Location details: OM, Muscat 111, Oman | Classification: Computer networking center, Computer networking center | Visit Online: greyhoopoe.com | Contact Number (Helpline): +968 9945 8345
  • OmanResearchAndEducationNetwork(OMREN) | Location details: Seeb Street, Seeb، Muscat Governorate, Oman | Classification: Government office, Government office | Visit Online: omren.om | Contact Number (Helpline): +968 9099 1122
  • Regus-Muscat,HormuzGrand | Location details: Al Matar Street Hormuz Grand Hotel, Upper Mezzanine Floor Muscat OM, 130, Oman | Classification: Office space rental agency, Office space rental agency | Visit Online: regus.com | Contact Number (Helpline): +968 24 252300
  • AlKaysInternationalLLC | Location details: Regus Business Center, Office No. 202 2nd Floor Tamimah Building Al Nahdah Road, Al Wattayah Ruwi, Muscat OM, 131, Oman | Classification: Software company, Software company | Visit Online: kaysit.com | Contact Number (Helpline): +968 24 667677
  • IGNOUInternationalStudyCenter.OSC-5905) | Location details: Muscat, Oman | Classification: Distance learning center, Distance learning center | Visit Online: | Contact Number (Helpline): +968 9957 4260
  • NTI-NationalTrainingInstituteLLC | Location details: Facing Expressway, Muscat, Oman | Classification: Training centre, Training centre | Visit Online: ntioman.com | Contact Number (Helpline): +968 24 228600
  • CiscoSystemsLLC | Location details: Thaqafah St, Muscat, Oman | Classification: Company, Company | Visit Online: cisco.com | Contact Number (Helpline): +968 24 942800
  • معهدلندنللتدريبIELTSCentre-LondonTrainingInstitute | Location details: Qurum Heights, Qurum Street, Muscat 100, Oman | Classification: English language school, English language school | Visit Online: london.om | Contact Number (Helpline): +968 9090 4753
  • KhimjiTrainingInstituteLLC | Location details: 5th Floor, Block Number 242, Building Number 175, Way Number 4203. Azaibah، Muscat, Oman | Classification: Learning center, Learning center | Visit Online: | Contact Number (Helpline): +968 24 613521
  • RikazGlobal | Location details: J92G+3M4, Muscat, Oman | Classification: Computer training school, Computer training school | Visit Online: | Contact Number (Helpline):
  • Areena and eSadacom Address: Building No: 372, Office No: 12، Bawshar Commercial Area, PO-Box : 3460، Muscat 111, Oman Phone: +968 9618 8507 , website:www.areenau.com/esadacom/
  • Qanater Creative Solutions Address: Opp. Moosa Abdul Rahman Hassan (GMC), way 4030, Muscat 114, Oman Phone: +968 9747 7131 , website:qanater.net/
  • Planet Web Solution Pvt. Ltd. Address: Apartment No.11, Building No.47, Al maha, 35 street,, Muscat, Oman Phone: +968 9532 2240 , website:www.planetwebsolution.com/
  • Sakhr Address: 18th November St, Muscat, Oman Phone: +968 24 490815 , website:www.sakhr.com/
 courses in Muscat
The city located iin the governorate named Muscat, is one of the oldest cities in the Middle East. The business partners of Saud Bahwan Group Toyota, IT Groups, Daewhotsu, KIA, Hurt's Rent A Car; Trading partners of Zubair Automats, Mitsubishi and Chlorine brands, Dodge etc are well known. About half of the population is under age 30 making it a solid ground for advanced technologies to invest in. From the second century BCE, they traded with Greece and even today, trading is the backbone of Muscat's economy.

Muscat is the largest city in Oman. There are a number of major companies operating from Muscat, like Suhail Bahwan Group. Like Riyadh,the population of Muscat is rather young.

. With the discovery of oil in Oman, the Muscat city began to see new economic horizons. Since 1962 Muscat has been home to The Petroleum Development Oman (PDO) who is now the second largest employer in the country.

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