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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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 There are numerous reasons why you should take this course. 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. Identify and collect data from data sources. The Data Science Process, Communicating with Stakeholders, Software Engineering Practices, Object-Oriented Programming, Web Development, ETL Pipelines, Natural Language Processing, Machine Learning Pipelines, Experiment Design, Statistical Concerns of Experimentation, A/B Testing, and Introduction to Recommendation Engines are some of the topics covered in. You'll have a personal mentor who will keep track of your development. 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. 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. Create data strategies with the help of team members and leaders. To find trends and patterns, use algorithms and modules. 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 Dammam

  • GulfIdealApplications | Location details: 4867 Alkhaleej Road - AlZhuhoor Unit No. 5، Dammam 32423, Saudi Arabia | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +966 56 380 5448
  • SecurityForcesHospitalDammam | Location details: 95 Street, King Fahd Suburb, Dammam 32314, Saudi Arabia | Classification: Hospital, Hospital | Visit Online: sfhd.med.sa | Contact Number (Helpline): +966 13 810 5000
  • ProAccountant | Location details: 11th St, Al Souq, Dammam 31547, Saudi Arabia | Classification: Accounting software company, Accounting software company | Visit Online: proacc-ksa.com | Contact Number (Helpline): +966 56 522 6673
  • HyperPanda | Location details: Al Athir, Dammam 32248, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • RemalVentures | Location details: 6374 Dhahran Jubail Expy, Branch- Ar Rawdah Dist, Dammam 32256, Saudi Arabia | Classification: Software company, Software company | Visit Online: remal.com | Contact Number (Helpline):
  • GlitterTechnologyForTrading&ContractingCompany | Location details: Al Muhammadiyah, Dammam 32432, Saudi Arabia | Classification: General contractor, General contractor | Visit Online: | Contact Number (Helpline): +966 13 814 4753
  • GlobalAlMotakamelCo. | Location details: King Fahd Road, Uhud, Dammam 32263, Saudi Arabia | Classification: Accounting software company, Accounting software company | Visit Online: gmtcc.co | Contact Number (Helpline): +966 9200 17800
  • 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
  • AJAD | Location details: Al Jawharah, Dammam 32422, Saudi Arabia | Classification: Software company, Software company | Visit Online: ajaden.com | Contact Number (Helpline): +966 13 809 8204
  • ZamilSteel | Location details: 94RM+X8V, Industrial Area No 1, Dammam 32234, Saudi Arabia | Classification: Business networking company, Business networking company | Visit Online: | Contact Number (Helpline):
  • Saipem | Location details: Al Anwar, Dammam 32312, Saudi Arabia | Classification: Contractor, Contractor | Visit Online: saipem.com | Contact Number (Helpline): +966 13 882 8737
  • SariyaCo.Ltd | Location details: Al Kaltham Commercial Center, King Fahd Road, Office 54, 55، Dammam 32253, Saudi Arabia | Classification: Distribution service, Distribution service | Visit Online: sariya-it.com | Contact Number (Helpline): +966 13 843 5125
  • MiswacoChemicalWarehouse | Location details: Abu Ishaq Al Rifay, Al Khalidiyyah Al Janubiyyah, Dammam 32226, Saudi Arabia | Classification: Chemical manufacturer, Chemical manufacturer | Visit Online: slb.com | Contact Number (Helpline):
  • NapcoConsumerProductsCompany,Ltd | Location details: 4536 ابن سيناء، Industrial Area No 1, Dammam 32234, Saudi Arabia | Classification: Manufacturer, Manufacturer | Visit Online: napcogroup.com | Contact Number (Helpline): +966 13 847 3111
  • AfaqyTrackingCo.LTD | Location details: شارع الأشرعة،، الشاطئ الغربي،، Dammam 32415, Saudi Arabia | Classification: Software company, Software company | Visit Online: afaqy.com | Contact Number (Helpline): +966 9200 10519
  • SASINFOTECHEST. | Location details: 1 St, Ar Rabi, Dammam 32254, Saudi Arabia | Classification: Software company, Software company | Visit Online: tochoglobal.com | Contact Number (Helpline): +966 59 081 9176
  • Bytecode Address: 17 (B) St, Al Muraikabat, Dammam 32253, Saudi Arabia Phone Number: +966 59 144 4858, Website: http://bytecode.sa/
  • Cybosol Address: Prince Mohammed Bin Fahd Rd، Muhammed Ibn Saud, S 23، Dammam 32241, Saudi Arabia Phone Number: +966 13 825 2211, Website: http://cybosol.com/
  • DLI IT group Address: Ist Floor, Munawala Cargo Building, King Khaled Road, Dammam Phone Number: +966 549 174 976, Website: http://www.dlisaudi.com/
  • Ajad Address: 6338 4th St. Unit 16, Dammam, Saudi Arabia Phone Number: 920003160 ,Website: http://www.ajaden.com/
  • Cybosol Address: Prince Mohammed Bin Fahd Rd، Muhammed Ibn Saud, S 23، Dammam 32241, Saudi Arabia Phone Number: +966 13 825 2211, Website: http://cybosol.com/
 courses in Dammam
The Dammam metropolitan place and the relaxation of the Eastern Province are served through the King Fahd International Airport (KFIA), the biggest airport withinside the global in phrases of land place (about 780 km2 [300 sq mi]), approximately 31 km (19 mi) northwest of the town. 4% of Dammam. Winter temperatures range from mild to warm, but often drop to 1 °C (34 °F) at night. Hail usually falls during the cool months of December and January.

Dammam is thought for being a first-rate place of work for the Saudi oil industry. Rainfall in Dammam is generally infrequent, usually in small amounts during the winter months in November, December and January. . Dammam is now the most populous of the eastern provinces. The city is growing with a very fast commission rate of 12% per year, which is the fastest in Saudi Arabia, the Gulf countries and the Arab world. Dammam and its suburbs, including the triplets, are also referred to as the Dammam Metropolitan Area or Greater Dammam.

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