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
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Data Science Jobs in Al Khobar

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

  • 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 Khobar
Data Science Identify and collect data from data sources. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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. 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 Al Khobar. 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. To find trends and patterns, use algorithms and modules. 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. Experts provide immersive online instructor-led seminars.

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 Al Khobar

  • BTCNetworks | Location details: Jamaluddin Alnaqeeb Jamaluddin Alnaqeeb, Al Yarmouk, Al Khobar 34423 3747, Saudi Arabia | Classification: Telecommunications contractor, Telecommunications contractor | Visit Online: btc.com.sa | Contact Number (Helpline):
  • FutureTechSolutions | Location details: Sahmiyah Building, Office 105 4048 Al Amir Sultan Road Qurtubah, Unit No.، 101 Al Khubar -6345، Al Khobar 34235, Saudi Arabia | Classification: Software company, Software company | Visit Online: futuretech.net.sa | Contact Number (Helpline): +966 13 847 4114
  • IPTelecomNetworks | Location details: Prince Muqrin St, Madinat Al Umal, Al Khobar 34443, Saudi Arabia | Classification: Telecommunications contractor, Telecommunications contractor | Visit Online: | Contact Number (Helpline): +966 13 887 4877
  • InnovativeSoftwareEst. | Location details: 5 King Khaled Street, Al Khobar Al Shamalia, Al Khobar 31952, Saudi Arabia | Classification: Software company, Software company | Visit Online: innosoft.com.sa | Contact Number (Helpline): +966 56 077 7677
  • SaudiDrillCompany | Location details: Makkah Al Mukarramah St, Olaya, Al Khobar 34445, Saudi Arabia | Classification: Business-to-Business service, Business-to-Business service | Visit Online: saudidril.com | Contact Number (Helpline): +966 13 833 0871
  • TakamulSmartTechnology | Location details: Al Munira Tower, Prince Muqrin St, Madinat Al Umal, Al Khobar 34441, Saudi Arabia | Classification: Software company, Software company | Visit Online: takamul.net.sa | Contact Number (Helpline): +966 13 896 9771
  • 3DINTERNATIONALTECHNICALSERVICESCOMPANY | Location details: Al Reziza Building, Prince Mansour St, Cross-1, Al Khobar 31952, Saudi Arabia | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: 3dts.com.sa | Contact Number (Helpline): +966 55 801 3345
  • UnisisSolutions,SaudiArabia | Location details: 6380 Custodian of The Two Holy Mosques Rd, 3294، Al Khobar 34446, Saudi Arabia | Classification: Software company, Software company | Visit Online: unisis-solutions.business.site | Contact Number (Helpline): +966 53 932 1544
  • AlRushaidConstructionCo.,Ltd. | Location details: Prince Sultan Road, Al Jawharah, Al Khobar 34431, Saudi Arabia | Classification: Corporate office, Corporate office | Visit Online: arccksa.com | Contact Number (Helpline): +966 13 801 0000
  • HATCKHOBAREASTERNREGION | Location details: 3072 الامير ماجد بن عبد العزيز،, Al Khobar Al Shamalia, 7099, Al Khobar 34428 3072, Saudi Arabia | Classification: Training centre, Training centre | Visit Online: hatc-ksa.com | Contact Number (Helpline): +966 55 278 4573
  • ArabChannelsIntegratedSystem(ACIS) | Location details: 76J6+MPP, Al Khobar Al Shamalia, Al Khobar 34429, Saudi Arabia | Classification: Software company, Software company | Visit Online: acis.net.sa | Contact Number (Helpline): +966 13 895 4080
  • ConnectNetworks&Communications | Location details: Prince Nayef St, Al Khobar Al Shamalia, Al Khobar 34429, Saudi Arabia | Classification: Computer store, Computer store | Visit Online: connect.com.sa | Contact Number (Helpline): +966 13 864 6888
  • CordisTechnology | Location details: Unit No. 155, 4415 Khalid Ibn Ar Rakah, Al Janubiyah Dist, Al Khobar 34226, Saudi Arabia | Classification: Software company, Software company | Visit Online: cordis.us | Contact Number (Helpline): +966 59 477 4201
  • LabSystems | Location details: 3580 Custodian of The Two Holy Mosques Rd, Al Aqrabiyah, Al Khobar 34446 6283, Saudi Arabia | Classification: Software company, Software company | Visit Online: labsystems.sa | Contact Number (Helpline): +966 13 893 6616
  • OpenI.T | Location details: Prince Turkey St, Al Khobar Al Janubiyah, Al Khobar 34611 31952, Saudi Arabia | Classification: Computer consultant, Computer consultant | Visit Online: openit.me | Contact Number (Helpline): +966 13 898 0006
  • SoftlandTradingEst. | Location details: Custodian of The Two Holy Mosques Rd, Dossary Tower، Al Khobar 31952, Saudi Arabia | Classification: Computer store, Computer store | Visit Online: softland.com.sa | Contact Number (Helpline): +966 13 894 8233
 courses in Al Khobar
Light showers with frequent heavy rains and thunderstorms in winter and spring; Winter with little hail. Islamic terrorists committed massacres in 1996 and 2004. Very hot, dry summers and mild to hot, dry winters. It was officially opened on November 25, 1986 and is named after King Fahd of Saudi Arabia. Khobar State was established in 1942, and as oil was discovered in the nearby area, a port was built to the south of the modern city to facilitate oil exports to Bahrain. The center also has an IMAX cinema that usually only shows science and/or non-fiction films. As a residential area, Khobar is famous for its many amusement parks decorated with various monuments, such as Prince Ibn Jalawi Park and Eskan Park. 2m wide. The city quickly turned into a settlement and commercial and industrial port. Most residential areas in Khobar are built on a grid, but unlike Dammam, most buildings in the city's main areas are a mix of commercial and residential development.

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