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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20+
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Data Science Jobs in Dammam

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

  • 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 Dammam
Data Science 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 Dammam. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. 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 Dammam. To find trends and patterns, use algorithms and modules. Create data strategies with the help of team members and leaders. 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'll have a personal mentor who will keep track of your development.

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 Dammam

  • AlRayyanElectronicMarketingEst | Location details: 18th Street, Ibn Khaldun, Dammam 32253, Saudi Arabia | Classification: E-commerce service, E-commerce service | Visit Online: rayyan.sa | Contact Number (Helpline): +966 53 339 3778
  • Texol | Location details: 32242, Dammam Saudi Arabia | Classification: Corporate office, Corporate office | Visit Online: texolgulf.com | Contact Number (Helpline): +966 13 825 2211
  • المعهدالتقنيللهندسةوالبترولالعاليللتدريب | Location details: Ash Shulah, Dammam 34263, Saudi Arabia | Classification: Educational institution, Educational institution | Visit Online: thiep.edu.sa | Contact Number (Helpline): +966 13 831 2500
  • JarirBookstore | Location details: Khaleej Rd, Az Zuhur, Dammam 32423, Saudi Arabia | Classification: Book store, Book store | Visit Online: jarir.com | Contact Number (Helpline): +966 9200 00089
  • TranquilBusinessSoftware(CloudERP) | Location details: Post Box 3817, Al Jalawiyah, King Saud Street، Dammam Saudi Arabia | Classification: Accounting software company, Accounting software company | Visit Online: tranquilbs.com | Contact Number (Helpline): +966 13 848 8080
  • KnowledgePartnersInformationTechnology | Location details: 11 St, Al 'Adamah, Dammam 32242, Saudi Arabia | Classification: Information services, Information services | Visit Online: kite.com.sa | Contact Number (Helpline): +966 56 569 7375
  • MyOfficeOrders.Com | Location details: 2250 Al Amir Saud Ibn Jalawi, Al Dawasir, 7218, Dammam 32416, Saudi Arabia | Classification: Office supply store, Office supply store | Visit Online: myofficeorders.com | Contact Number (Helpline): +966 59 700 2754
  • LuLuHypermarket-AshShatieDammam | Location details: Prince Mohammed Bin Fahd Road, Ash Shati Ash Sharqi, Dammam 32413, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: luluhypermarket.com | Contact Number (Helpline): +966 13 833 9595
  • LuLuHypermarket-AshShatieDammam | Location details: Prince Mohammed Bin Fahd Road, Ash Shati Ash Sharqi, Dammam 32413, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: luluhypermarket.com | Contact Number (Helpline): +966 13 833 9595
  • ShabakahNet | Location details: NovaTel Business Park، Dammam Khobar Highway Road، Al Khalidiyah Ash Shamaliyah, Dammam 32232, Saudi Arabia | Classification: Software company, Software company | Visit Online: shabakah.net.sa | Contact Number (Helpline): +966 13 833 2434
  • HyperPanda | Location details: Al Athir, Dammam 32248, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • CMACGMDAMMAM | Location details: Al Ashriah Street, Al Badi, Dammam 32415, Saudi Arabia | Classification: Shipping service, Shipping service | Visit Online: cma-cgm.com | Contact Number (Helpline): +966 9200 03025
  • CompuSOFT | Location details: King Abdulaziz Rd, Al Khalidiyyah Al Janubiyyah, Dammam 32221, Saudi Arabia | Classification: Software company, Software company | Visit Online: compusoftme.com | Contact Number (Helpline): +966 13 814 4753
  • UltimateSolutions | Location details: King Khaled St, Muhammed Ibn Saud, Dammam 32241, Saudi Arabia | Classification: Software company, Software company | Visit Online: ultimate-sa.com | Contact Number (Helpline): +966 55 660 5253
  • PrestigeSaudiCo.Ltd.(aDLI-ITGroupCompany)-EasternProvince | Location details: King Khaled St, Ar Rabi, Dammam 32241, Saudi Arabia | Classification: Software company, Software company | Visit Online: dlisaudi.com | Contact Number (Helpline): +966 54 496 3401
  • VoiceTechSolutions | Location details: 4292 طريق الملك فهد بن عبد العزيز, Al Khalidiyah Ash Shamaliyah, Dammam 32232, Saudi Arabia | Classification: Computer support and services, Computer support and services | Visit Online: voicetechsolutions.com | Contact Number (Helpline): +966 9200 11902
  • Pixelsoft Address: Ghirnatah, Dammam 32245, Saudi Arabia Phone Number: +966 13 842 2119, Website: https://www.pixelsoft.com.sa/
  • Marfaa Media Address: Othman Ibn Affan St، Ar Rayyan، dammam 32256 Saudi Arabia Phone Number: +966 13 848 3444, Website: http://www.marfaa.com/
  • Golden Leadership Address: King Saud Street, P.O Box 11272,Dammam 31453 Near Toyota Signal, Opposite to Auto Mall Kingdom of Saudi Arabia Phone Number: 00966 - 138177694, Website: http://goldenleadership.net/
  • L&T Infotech Address: 205, 1st Floor, Business Gate, Khaldiyah Quarter, Dammam-Khobar Highway (King Fahad Street), Dammam 32232, Saudi Arabia Phone Number:+966 13 812 7708,Website: https://www.lntinfotech.com/
  • Top Line Address: Othman Ibn Affan Street, Al Badiyah, Dammam 32243, Saudi Arabia Phone Number: +966 50 899 9087, Website: https://www.topline.com.sa/
 courses in Dammam
Dammam's King Abdul Aziz Sea Port is the biggest at the Persian Gulf, its import-export visitors 2d best to the anciental Jeddah Islamic Port withinside the Middle East and North Africa (MENA). It serves as the floor for Saudi Professional League football club Ettifaq FC and Saudi Arabia First Division club Al-Nahda.

. According to files released by the Central Bureau of Statistics and Information, Dammam had a population of 903,000 as of December 2010, making it the sixth most populous city in Saudi Arabia and the most populous city in the eastern provinces. . However, more traditional sports are practiced, such as camel racing, falconry, basketball, and horseback riding. The town is developing at a really speedy fee of 12% a yr – the quickest in Saudi Arabia, the GCC, and the Arab global. Dammam is likewise a member-town withinside the World Energy Cities Partnership (WECP). With the unification of Saudi Arabia, Dammam became made the capital of the newly fashioned Eastern Province. Temperature extremes inside the site range from 50.

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