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
10000+
20+
50+
25+

Data Science Jobs in Ajman

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

  • 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 Ajman
Data Science Create data strategies with the help of team members and leaders. 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. To find trends and patterns, use algorithms and modules. Experts provide immersive online instructor-led seminars. There are numerous reasons why you should take this course. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. You'll have a personal mentor who will keep track of your development. 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.

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 Ajman

  • FazalClinic | Location details: Ajman Building - Al Seer - Ras al Khaimah - United Arab Emirates | Classification: , | Visit Online: | Contact Number (Helpline): +971 7 222 7125
  • W2WTSFZE-UAEHeadOffice | Location details: D87 D Block, Al Bustan, near Post Office AjmanFreeZone - Ajman, UAE. Landline : 067 - 44 50 44 - Ajman - United Arab Emirates | Classification: Corporate office, Corporate office | Visit Online: w2wts.com | Contact Number (Helpline): +971 52 884 3575
  • AlReemMobileAndComputers | Location details: 23 شارع بغداد - Al Rawda 2 - Ajman - United Arab Emirates | Classification: Computer store, Computer store | Visit Online: instagram.com | Contact Number (Helpline): +971 56 860 6228
  • كنزهايبرماركتKENZHYPERMARKET | Location details: Sheikh Maktoum Bin Rashid St - Al Hamidiya 1 - Ajman - United Arab Emirates | Classification: Hypermarket, Hypermarket | Visit Online: kenzhypermarket.com | Contact Number (Helpline): +971 6 749 9888
  • OvaliaBusinessSolutionsFZC | Location details: Sheikh Khalifa Bin Zayed Street, Office : E1-1518, Amberjem Tower - Ajman - United Arab Emirates | Classification: Consultant, Consultant | Visit Online: | Contact Number (Helpline): +971 55 749 4696
  • AYMOS | Location details: Sheikh Khalifa Bin Zayed St Al-Andalus3 Tower - Office 801 - Ajman - United Arab Emirates | Classification: Technical service, Technical service | Visit Online: aymos.net | Contact Number (Helpline): +971 6 595 7070
  • ADCBATM,SafeerMall | Location details: Opposite Ajman University - Sheikh Khalifa Bin Zayed St - Ajman - United Arab Emirates | Classification: ATM, ATM | Visit Online: adcb.com | Contact Number (Helpline): +971 600 502030
  • BLUEDARTDHLEXPRESSLTD | Location details: Janta Bhawan Rd, near Sirsa Club, Multani Colony, AnajMandi, Sirsa, Haryana 125055, India | Classification: Courier service, Courier service | Visit Online: bluedart.com | Contact Number (Helpline): +91 1860 233 1234
  • AlNabeelCommunicationsNetworks | Location details: Behind Ajman Municipality, Albustan Area - Ajman - United Arab Emirates | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: alnabeelc.com | Contact Number (Helpline): +971 6 742 6238
  • VisionInstituteAjman | Location details: Vision institute , R Holding Building , Office No: 402 - Sheikh Khalifa Bin Zayed St - Ajman - United Arab Emirates | Classification: Training centre, Training centre | Visit Online: vision-inst.com | Contact Number (Helpline): +971 6 745 3323
  • Wires.ae | Location details: CG33+25 - Al Jerf 2 - Ajman - United Arab Emirates | Classification: Computer store, Computer store | Visit Online: wires.ae | Contact Number (Helpline): +971 50 747 1698
  • INJAZLLC | Location details: Office 910 Horizon Towers - Ajman - United Arab Emirates | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +971 6 746 1007
  • DotlineWebConsultingFZE-WebDesignAjman,WebApplication,MobileApplication,LogoDesignAndDigitalMarketingCompanyAjman | Location details: Sheikh Khalifa Bin Zayed St, Al Swan Amberjem Tower E1, Office E1-1516 - Ajman - United Arab Emirates | Classification: Website designer, Website designer | Visit Online: dotlineweb.ae | Contact Number (Helpline): +971 55 229 4463
  • Minutes | Location details: AL JURF - City Centre Ajman - Al Ittihad St - Ajman - United Arab Emirates | Classification: Repair service, Repair service | Visit Online: minutes.co.ae | Contact Number (Helpline): +971 56 204 6753
  • TallySolutions|TallyPrimeERP|DubaiSharjahAjman|TallyCustomization,Renewal,Accounting | Location details: Bank street building, 206 - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +971 50 459 9540
  • AlHadabaInternational | Location details: Al OwanAl, برج العويس - شارع الشيخ حميد بن راشد النعيمي - Al Owan - Al Nakhil 2 - Ajman - United Arab Emirates | Classification: Software company, Software company | Visit Online: alhadaba.com | Contact Number (Helpline): +971 6 747 5730
  • DM Solutionz FZE Internet marketing service in Ajman, United Arab Emirates Address: H, Amberjem Tower, Sheikh Khalifa Bin Zayed Street - Ajman - United Arab Emirates Phone: +971 50 435 7337 , website:https://digitalmarketingsolutionz.com/
  • Arabisk Network Website designer in Ajman, United Arab Emirates Address: AL Ittihad Road - P.O.Box 13621, Horizon Towers, Block D, Office 1905,1906 - Ajman - United Arab Emirates Phone: +971 6 731 3199 , website:arabisk.net/
  • Design Coordinates Website designer in Ajman, United Arab Emirates Address: Falcon Towers - Ajman - United Arab Emirates Phone: +971 6 740 3115 , website: https://www.facebook.com/dcoordinates/
  • Middle East IT Solutions Software company in Ajman, United Arab Emirates Address: Ajman - United Arab Emirates Phone: +971 52 832 7941 , website: www.ats-uae.com/
  • Evolink Technologies Software company in Ajman, United Arab Emirates Address: Amberjem Tower - E1702 - Sheikh Khalifa Bin Zayed St - Ajman - United Arab Emirates Phone: +971 50 851 1760 , website: www.evolinksys.com/
 courses in Ajman
The motive of this paper is to pick out the extent of Ajman`s resident delight on training offerings and to evaluate what do the tendencies over time, inform approximately the training great, and citizens` degree of delight? To this end, a pattern of 992 turned into decided on out of a complete of 95,531 family who lived in Ajman and had previous enjoy in training furnished offerings. It is the primary and number one circumstance to domesticate know-how and civilize human beings for their all-spherical improvement. So, the primary motive of this paper is to analyze the reputation of the UAE public and personal training, in phrases of great training and citizens` delight. Empirical proof presents some guide for the competition that the great of training can be advanced through providing better salaries to instructors. Recent proof of a large hyperlink among great of training and character productiveness shows that, from an monetary performance perspective, great components of training deserve attention. s . , 2015). However, from the overdue 70s to the overdue 80s, college students had not anything however books and the foundation from their instructors, while for the reason that 90s, academic establishments withinside the u . have developed to healthy the desires of a highly-aggressive task marketplace. Ajman, UAE The UAE is an rising mature training marketplace withinside the Middle East and North Africa (MENA) place, ambitiously searching ahead to being an appealing vacation spot for training`s investors, training`s providers, and nearby and worldwide college students.

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