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 Jeddah

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

  • 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 Jeddah
Data Science Create data strategies with the help of team members and leaders. Cleaning and validating data to ensure that it is accurate and consistent. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. You'll have a personal mentor who will keep track of your development. 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 Jeddah. 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. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. 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. 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. There are numerous reasons why you should take this course.

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 Jeddah

  • GoldenFirst | Location details: Fayd As Samaa, Al-Ruwais, Jeddah 23213, Saudi Arabia | Classification: Computer store, Computer store | Visit Online: golden-first.com | Contact Number (Helpline): +966 12 657 2983
  • TP-LinkDistributorInSaudiArabia | Location details: KHALID BIN WALEED STREET, Al Sharafeyah, Jeddah 34054, Saudi Arabia | Classification: Computer networking center, Computer networking center | Visit Online: creativesa.com | Contact Number (Helpline): +966 50 273 7825
  • YadoniaGroup-SaudiArabiaBranch | Location details: Prince Sultan Rd, 30، Building Number 143 - 6th Floor Al Naeem Neighborhood، Jeddah Saudi Arabia | Classification: Website designer, Website designer | Visit Online: yadonia.com | Contact Number (Helpline): +962 7 9602 7401
  • FutureInstituteForWomen | Location details: طريق المدينة المنورة،، Al Andalus, Jeddah 23326, Saudi Arabia | Classification: Training centre, Training centre | Visit Online: future-center.com | Contact Number (Helpline): +966 54 550 0660
  • KingSaudBinAbdulazizUniversityForHealthSciences | Location details: Makkah - Jeddah Hwy, King Abdul Aziz Medical City, Jeddah 22384, Saudi Arabia | Classification: University, University | Visit Online: ksau-hs.edu.sa | Contact Number (Helpline): +966 12 224 6666
  • PrinceSultanAviationAcademy | Location details: Al Khalidiyyah, Jeddah 23421, Saudi Arabia | Classification: Aviation training institute, Aviation training institute | Visit Online: psaa.com.sa | Contact Number (Helpline): +966 12 686 4163
  • AcmeLogicSystems | Location details: شارع Masjid Al Fitaihi, Al-Rehab, Jeddah 23343, Saudi Arabia | Classification: Software company, Software company | Visit Online: alsys.co | Contact Number (Helpline): +966 50 860 5233
  • NewTaefInformationTechnology | Location details: 8190 Al-Madinah Al-Munawarah Rd, As Salamah, Jeddah 23525 3822, Saudi Arabia | Classification: Computer store, Computer store | Visit Online: | Contact Number (Helpline):
  • UberJeddahOffice | Location details: Al Falak Roundabout Office 204, Second Floor Platini Tower A, Near Falak Square, Jeddah 23442, Saudi Arabia | Classification: Software company, Software company | Visit Online: help.uber.com | Contact Number (Helpline):
  • ManagerialAndFinancialTrainingCenter | Location details: 7466 King Fahd Rd, حي الشرفية، 23218 3320، Jeddah Saudi Arabia | Classification: Training centre, Training centre | Visit Online: fin.com.sa | Contact Number (Helpline): +966 12 652 9126
  • SohobyAJeddahBasedMobileAppDevelopmentCompany(أفضلشركةتصميمتطبيقاتفيالسعودية) | Location details: 2369 Saeed Bin Zaqr, Aziziyah, Awtad Commercial Centre Office 407, Fourth Floor 8407, Jeddah 23334, Saudi Arabia | Classification: Website designer, Website designer | Visit Online: sohoby.sa | Contact Number (Helpline): +966 59 952 9572
  • Volume-Group | Location details: 8491 Ibrahim Al Jaffali, حي الاندلس, Jeddah 23325 4040, Saudi Arabia، Jeddah Saudi Arabia | Classification: General contractor, General contractor | Visit Online: volume-group.com | Contact Number (Helpline): +966 12 668 1981
  • MAICOMPUTERJEDDAH | Location details: 6583 خالد بن الوليد، Ash Sharafiyah District, Jeddah 23216 2701, Saudi Arabia | Classification: Computer store, Computer store | Visit Online: maicomputer.com | Contact Number (Helpline): +966 50 464 1269
  • SaudiInformationSystems | Location details: Compu Plaza, خالد بن الوليد، Al Sharafeyah, Jeddah 21452, Saudi Arabia | Classification: Computer consultant, Computer consultant | Visit Online: sisgbl.com | Contact Number (Helpline): +966 59 538 2824
  • CambridgeConsultingServices | Location details: Al Allaf, Street, Jeddah 23326, Saudi Arabia | Classification: Business management consultant, Business management consultant | Visit Online: cambridgecs.co.uk | Contact Number (Helpline): +966 54 338 8868
  • Assila,ALuxuryCollectionHotel,Jeddah | Location details: Prince Mohammed Bin Abdulaziz St, Al Andalus, Jeddah 23326, Saudi Arabia | Classification: , | Visit Online: marriott.com | Contact Number (Helpline): +966 12 231 9800
  • Digital Image Internet marketing service in Jeddah, Saudi Arabia Address: Nadi Ath Thaqafa Street، Al Nahda District، Jeddah 23523, Saudi Arabia Phone: +966 12 655 3020 , website:www.digitalimage.net/
  • Solutel Website designer in Riyadh, Saudi Arabi Address: Office #205, Rabiah Tower، Near King Fahd Library (NORTH)، Olaya Street, Al Olaya District، Riyadh Saudi Arabia Phone: +966 11 416 1679 , website:www.solutel.sa/
  • Solutel Website designer in Riyadh, Saudi Arabia Address: Office #205, Rabiah Tower، Near King Fahd Library (NORTH)، Olaya Street, Al Olaya District، Riyadh Saudi Arabia Phone: +966 11 416 1679 , website:www.solutel.sa/
  • Yadonia Group - Saudi Arabia Branch Website designer in Jeddah, Saudi Arabia Address: Building Number 143 - 6th Floor، Al Naeem Neighborhood، Prince Sultan Road (30)، Jeddah Saudi Arabia Phone: +966 12 655 5256 , website:https://www.yadonia.com/Yadonia_Group_Profile.pdf
  • Retail Pro Saudi Arabia Address: Business Palace, 5th Floor, Office # 501, Al-Madina Road, Near Quraish، Bridge Al-Salamah District، Jeddah 23437, Saudi Arabia Phone: +966 54 922 2227, Website: http://retail-tec.com/
 courses in Jeddah
Jeddah was ranked fourth in Africa, Middle East and stan countries in the Creative Cities Index 2009. The King Fahd Public Library is built on a 17,000 square meter (180,000 sq ft) area on the main campus of King Abdulaziz University (KAU) in Jeddah. The city is considered the freest city in Saudi Arabia and is a popular tourist destination in the region. Saudi Arabia's natural gas reserves are the fifth largest, and these three energy sources define Saudi Arabia as an "energy powerhouse. These include 10+ Indian schools following the CBSE board of education system, several Pakistani and Bangladeshi schools as well. In the 1970s and 1980s, the economy grew with huge profits from oil exports. Jeddah is one of the major coastal cities of Saudi Arabia and has been named a Beta Global City by the Global Cities and Globalization Research Group and Network (GaWC). Saudi Arabia's economy is dependent on oil. Jeddah is a city in the Hijaz region of Saudi Arabia and the commercial center of the Kingdom of Saudi Arabia (Saudi Arabia). Per capita income, domestic product (GDP) per capita, is similar to that of the Western world.

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