Data Science Training by Experts

;

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
10000+
20+
50+
25+

Data Science Jobs in Dubai

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

  • 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 Dubai
Data Science Identify and collect data from data sources. 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. Create data strategies with the help of team members and leaders. Cleaning and validating data to ensure that it is accurate and consistent. Effectively analyze both organized and unstructured data Create strategies to address company issues. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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 Dubai. 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.

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 Dubai

  • ArabianInfotechInstituteTechnicalWarehouse | Location details: Al Khawaneej - Al Khawaneej 2 - Dubai - United Arab Emirates | Classification: Educational institution, Educational institution | Visit Online: arabianinfotech.com | Contact Number (Helpline): +971 4 228 1166
  • IndustrialApplicationSoftware(IAS)MiddleEastFZLLC | Location details: Dubai Internet City 17 - No G-57 - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: caniaserp.com | Contact Number (Helpline): +971 4 364 3960
  • CybermodoComputer&ManagementTraining | Location details: Rania Business Center - 2nd St - Al Barsha - Al Barsha 1 - Dubai - United Arab Emirates | Classification: Computer training school, Computer training school | Visit Online: cybermodo.com | Contact Number (Helpline): +971 4 457 9128
  • InnovativeLinks | Location details: Dubai Investment Park - 1 - Green Community Village - Dubai - United Arab Emirates | Classification: Computer networking center, Computer networking center | Visit Online: ilinks.ae | Contact Number (Helpline): +971 50 623 9773
  • GartnerGulfFZLLC | Location details: Building # 2 Sheikh Zayed Rd - Al Sufouh - Al Sufouh 2 - Dubai - United Arab Emirates | Classification: Corporate office, Corporate office | Visit Online: gartner.com | Contact Number (Helpline): +971 4 559 2400
  • SoftwareAG | Location details: Office 204 ,2nd Floor,Star Holding Building, Building EIB 04، Dubai Internet City - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: softwareag.com | Contact Number (Helpline): +971 4 567 7603
  • RockStarsGlobal | Location details: Level 14 - Dubai mall, Boulevard Plaza, Tower 1 - Downtown Dubai - Dubai - United Arab Emirates | Classification: Business management consultant, Business management consultant | Visit Online: rockstarscorp.com | Contact Number (Helpline): +971 55 122 7009
  • IncubasysWeb&AppDevelopersDubai | Location details: Office 3105, Churchill Executive Tower - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: incubasys.com | Contact Number (Helpline):
  • CRATISINTERNATIONAL | Location details: Opal Tower - Business Bay - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: cratisinternational.com | Contact Number (Helpline): +971 4 582 0286
  • TejasNetworksIndiaLimited | Location details: Building # 11 Sheikh Zayed Rd - Al Sufouh - Al Sufouh 2 - Dubai - United Arab Emirates | Classification: , | Visit Online: | Contact Number (Helpline): +971 4 375 5099
  • A1SMARTSOFTWARECOMPANYDUBAI | Location details: 33B 6C Street - Al Khabaisi - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +971 50 261 9656
  • ABMFitout,Electro-mechanical&Telecom-networkingWorks | Location details: Churchill Executive Tower, Business Bay, Dubai,, Office 1915, P.O.Box:117501 - Dubai - United Arab Emirates | Classification: Telecommunications contractor, Telecommunications contractor | Visit Online: | Contact Number (Helpline): +971 56 102 0179
  • SASMiddleEastFz-Llc | Location details: Floor 49, Tower-A, Business Central Tower، Dubai Media City - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: sas.com | Contact Number (Helpline): +971 4 523 2222
  • OmnixInternationalLLC | Location details: BurJuman Business Tower, Bur Dubai Level 19 & 22 - Dubai - United Arab Emirates | Classification: Corporate office, Corporate office | Visit Online: omnix.com | Contact Number (Helpline): +971 4 519 7000
  • IndglobalDigitalPvtLtd | Location details: Boulevard Plaza - Downtown Dubai - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: indglobaldigital.com | Contact Number (Helpline): +971 56 206 6093
  • BrightFuture-IELTSTraining&ExamPreparation,OET,PTE,CELPIP,Accounting(Tally,QuickBooks)Courses,NetworkingCourses,CCTVCourse,CCNACourses | Location details: NBQ Bank Building - Suite 106, first floor - Khalid Bin Al Waleed Rd - Bur Dubai - United Arab Emirates | Classification: Training centre, Training centre | Visit Online: bftraining.ae | Contact Number (Helpline): +971 55 923 4565
  • Omnia Dubai Media City Building 9 Office G24 | G25 | G26, Ground Floor, PO Box 500475, Dubai, UAE Phone: 00 971 4 367 1414, website: http://www.omnia.ae
  • Digital Marketing (SEO) in Dubai, UAE Address: Dubai - United Arab Emirates Phone: +971 50 401 9757, Website: http://www.seo-daddy.com/
  • Dubai Monsters Website designer in Dubai, United Arab Emirates Address: Branex DMCC, 4503-19, 45th Floor, Park Avenue Offices JLT, Mazaya Business Avenue, BB2 JLT, Dubai, UAE - First Al Khail St - Dubai - United Arab Emirates Phone: +971 4 241 7179 , website:https://dubaimonsters.com/
  • Advansoft Address: Dubai World Trade Centre - Dubai - United Arab Emirates Phone: +971 55 522 2147, Website: http://www.advansoft.ae/
  • Ingic C10, 29th Floor, i-Rise Tower Barsha Heights(Tecom) P.O Box 384513,Dubai,UAE Call Us +971 4 319 7355, website: https://www.ingic.ae
 courses in Dubai
Shopaholics from the farthest reaches of the sector visit Dubai for splurging to their heart's content material. It basically rains for the duration of the iciness length On average, rain falls most effective 5 days a 12 months. The emirate is placed at the southeast coast of the Persian Gulf and is one of the seven emirates that make up the country. Unfortunately, the deck is now closed to tourists. Undergraduate Study  Minimum of 12 years of schooling. Emerging as one of the maximum preferred locations for tourists, Dubai makes for a supremely high-priced excursion spot. • Master`s packages are geared toward non-UAE experts who paintings withinside the UAE and are taught in languages aside from Arabic, basically English Dubai has an intensive training sector. In fact, it's far most effective now that its 900 residences have become occupied.  The college will determine on the popularity of your instructional historical past and will determine at which stage you may qualify to enter. In the iciness it has a median daylight temperature of 25°C • In the summer, the climate in Dubai could be very warm and humid, with temperatures achieving mid 40`s.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer