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
10000+
20+
50+
25+

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, jobsNEAR.in, indeed.co.in, shine.com 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/Course Details

Data Science internship jobs in Al Ain
Data Science 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. Experts provide immersive online instructor-led seminars. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. . 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 Al Ain. 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. Cleaning and validating data to ensure that it is accurate and consistent.

List of All Courses & Internship by TechnoMaster

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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 Al Ain

  • AmadeusGulfAlAin | Location details: Zayed Bin Sultan St - Central District - Al Ain - United Arab Emirates | Classification: Corporate office, Corporate office | Visit Online: amadeus.com | Contact Number (Helpline): +971 3 764 0042
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  • ZainCreativeInnovations | Location details: 105, Computer Plaza, Al Ain Centre - Al Mankhool Rd - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline):
  • AlNajahInstitute | Location details: 2nd floor,Shobra Building - Zayed Bin Sultan St - Al Ain - United Arab Emirates | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +971 3 737 6779
  • TECHSOLCOMPUTERSALAIN | Location details: Central District - Abu Dhabi - United Arab Emirates | Classification: Computer store, Computer store | Visit Online: | Contact Number (Helpline): +971 3 764 4421
  • ContinuingEducationCenter(CEC)-UAEU | Location details: Al Jimi, Al Ain - Abu Dhabi - United Arab Emirates | Classification: University, University | Visit Online: cec.uaeu.ac.ae | Contact Number (Helpline): +971 3 713 4383
  • BroadbandComputers,AlAinCenter | Location details: Almankhool Road M05, Al Ain Centre, Computer Plaza - Dubai - United Arab Emirates | Classification: Computer store, Computer store | Visit Online: alershadonline.com | Contact Number (Helpline): +971 4 351 1300
  • 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: https://www.topseos.com
  • Pandora Design L.L.C Website designer in Al Ain, United Arab Emirates Address: Al Falah St - Abu Dhabi - United Arab Emirates Phone: +971 3 762 8855 , website:pandoragroup.com/Careers/Pandora-In.../The-United-Arab-Emitates
  • تصميم مواقع الإنترنت Website designer in Al Ain, United Arab Emirates Address: Al Ain Snahya - United Arab Emirates Phone: +971 3 721 0075 ,website:https://minutesuae.net/.../%D8%B4%D8%B1%D9%83%D8%A9-%D...
  • Altrabright Computer Software company in Al Ain, United Arab Emirates Address: Abu Dhabi - United Arab Emirates Phone: +971 3 764 1114 , website:https://www.facebook.com/pages/altraBright.../405149269607315
  • Neologix Office No: M 11,Al Rostamani Building, King Faizal Street, - Sharjah - United Arab Emirates Phone: +971521043226, Website: http://www.neologix.ae
 courses in Al Ain
Seven in keeping with cent of students are recognized through the college as having unique academic wishes and/or disabilities (SEND), for whom it makes extra or unique provision. The college meets all of the requirements for British Schools Overseas besides the ones which it's miles precluded from assembly due to rules in. 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). Rigorous strategies to make certain that requirements had been maintained had been installed place. The college primary has been in put up for seven years and deputy principals had been internally promoted ultimate yr. To be known through the Department for Education, a British School Overseas ought to have an inspection record which suggests that their overall performance towards all of the requirements is at least satisfactory. 5. The suitability of the owner and team of workers. The DfE issued a coverage replace in October 2018. 7.

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