Data Science Online Live Classes by Experts


Our Training Process

Data Science - Syllabus, Fees & Duration


  • 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


  • 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


  • 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


  • 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


  • 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


  • 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


  • 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


  • 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


  • 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


  • Statistical Concerns of Experimentation
  • Applications of statistics in the real world
  • Establishing key metrics
  • SMART experiments: Specific, Measurable, Actionable, Realistic, Timely


  • 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


  • 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.


  • 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 Data Science Syllabus
Course Fees

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Data Science Jobs in Al Ain

Enjoy the demand

Find jobs related to Data Science in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri,,, etc.) based in Al Ain, chennai and europe countries. You can find many jobs for freshers related to the job positions in Al Ain.

  • 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 jobs in Al Ain

Data Science Internship/Course Details

Data Science To find trends and patterns, use algorithms and modules. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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. . You'll have a personal mentor who will keep track of your development. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. Identify and collect data from data sources. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science.

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 Al Ain

  • RITSSOFTWARE | Location details: Afaq Business Center - Al Ain St - Central District - Abu Dhabi - United Arab Emirates | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +971 3 764 0989
  • ComputerNetworkSystems | Location details: Zayed Bin Sultan Street (Street # 137) - Central District - Al Ain - United Arab Emirates | Classification: Computer service, Computer service | Visit Online: | Contact Number (Helpline): +971 3 766 2888
  • SystrixITSolutions-TravelSoftwareSolutionProviderOfFuture-proofProductsForEnd-to-endAutomationOfTravelBusinessOperations | Location details: 1303, Al Ain Insurance Building Same as Bin Moosa Travel building - Hamdan Bin Mohammed St - Abu Dhabi - United Arab Emirates | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +971 50 445 3372
  • AECOMMiddleEastLtd(AlAinBr) | Location details: 6PGP+7WX - Al Mu'tarid - Abu Dhabi - United Arab Emirates | Classification: Engineering consultant, Engineering consultant | Visit Online: | Contact Number (Helpline): +971 3 702 6600
  • RamComputerTechnologyL.L.C | Location details: Abu Baker Al Siddiq St, Al Ain - Abu Dhabi - United Arab Emirates | Classification: Computer store, Computer store | Visit Online: | Contact Number (Helpline): +971 3 780 0813
  • PHOTONCOMPUTERS | Location details: Al Ain,Hili Sanayia, UAE - Al Ain - United Arab Emirates | Classification: Computer support and services, Computer support and services | Visit Online: | Contact Number (Helpline): +971 50 839 6134
  • TallyPrimeUAE | Location details: G10-B, AL AIN CENTRE - Dubai - United Arab Emirates | Classification: Accounting software company, Accounting software company | Visit Online: | Contact Number (Helpline): +971 58 964 8004
  • EtisalatVmcAlAin | Location details: Unnamed Road - Abu Dhabi - United Arab Emirates | Classification: Business networking company, Business networking company | Visit Online: | Contact Number (Helpline):
  • BlueWingsComputersAndSecuritySystems | Location details: Oud Al Thouba, Al Ain - United Arab Emirates | Classification: Computer consultant, Computer consultant | Visit Online: | Contact Number (Helpline): +971 3 764 6267
  • EmiratesNBD | Location details: Al Maya Supermarket Al Hili Al Ain Al Nayfa - 120th St - Abu Dhabi - United Arab Emirates | Classification: ATM, ATM | Visit Online: | Contact Number (Helpline): +971 600 540000
  • GadgetLandComputer | Location details: Niyadat Area, Behind Al Madina Super Market, Building 5, Apt 302 Al Ain 14269 - Abu Dhabi - United Arab Emirates | Classification: Computer service, Computer service | Visit Online: | Contact Number (Helpline): +971 50 706 7170
  • DGHelpAuthorisedBySharafDGAlAin | Location details: 2nd Floor, Next to Sharab DG - Othman Bin Affan St - أبو ظبي - United Arab Emirates | Classification: Electronics repair shop, Electronics repair shop | Visit Online: | Contact Number (Helpline): +971 600 502034
  • Du-AlAinHilliMall | Location details: 2nd floor ,Hilli mall, Al Ain Hilli Mall - Abu Dhabi - United Arab Emirates | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: | Contact Number (Helpline): +971 800 155
  • LuLuCenter-AlAin | Location details: Near Al Ain Oasis - Zayed Bin Sultan St, Central District - Al Murabaa - United Arab Emirates | Classification: Supermarket, Supermarket | Visit Online: | Contact Number (Helpline): +971 3 719 2222
  • LuckyStarComputers | Location details: Al Mankhool Rd 77 Al Ain Center, Computer Plaza, near Al Fahidi Metro Station - Dubai - United Arab Emirates | Classification: Computer store, Computer store | Visit Online: | Contact Number (Helpline): +971 4 351 4445
  • ALAiNITConsultants | Location details: Level 2 Suite IIC Resource centre Technology Park Malaysia, Bukit Jalil, 57000 Kuala Lumpur, Malaysia | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +60 3-8992 3160
  • profinderuae Office No.22, Floor No.1, Plot No.4, Postal Code: 15258 Alsalas Street, Al Araas Sector Al Ain UAE, Al Ain, Al Ain, United Arab Emirates 15258 Phone number: +95-474-0990 x8, Website:
  • تصميم مواقع الإنترنت Website designer in Al Ain, United Arab Emirates Address: Al Ain Snahya - United Arab Emirates Phone: +971 3 721 0075 ,website:
  • MAK Media Technology International UAE Software company in Al Ain, United Arab Emirates Address: Ali Bin Taleb Street, Al Ain, P.O.Box - 86144, Al Ain, 155 Bin Harmel Building, Oud Al Thoba - Al Ain, Abu Dhabi - Abu Dhabi - United Arab Emirates Phone: +971 3 751 3444 ,
  • Altrabright Computer Software company in Al Ain, United Arab Emirates Address: Abu Dhabi - United Arab Emirates Phone: +971 3 764 1114 , website:
 courses in Al Ain
The inspection follows closely the framework for the inspection of impartial faculties in England but, wherein appropriate, additionally takes account of compliance with nearby regulations. The Department showed that `our coverage is now to accredit faculties in international locations wherein to satisfy positive requirements could be in breach of the host us of a laws, so long as there's proof to verify this, and all other requirements are met`. 8. They analysed a extensive variety of files referring to evaluation, rules and operational and strategic plans. In September 2021, the college remained closed for 2 weeks. There are 1,685 students and 50 distinct nationalities. Education Development Trust is a frame permitted through the British Government for the reason of analyzing faculties distant places and nice confident through the Office for Standards in Education (Ofsted). Forty- new coaching team of workers had been appointed in September 2021 as a end result of the college persevering with to develop with 393 new student enrolments. Information approximately the college Al Ain English Speaking School is an impartial and absolutely inclusive college for students from age 3 years to age 18 years. 2.

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